[{"date_published":"2022-11-01T00:00:00Z","author":[{"full_name":"Markov, Ilia","id":"D0CF4148-C985-11E9-8066-0BDEE5697425","first_name":"Ilia","last_name":"Markov"},{"last_name":"Ramezanikebrya","first_name":"Hamidreza","full_name":"Ramezanikebrya, Hamidreza"},{"id":"4A899BFC-F248-11E8-B48F-1D18A9856A87","full_name":"Alistarh, Dan-Adrian","orcid":"0000-0003-3650-940X","last_name":"Alistarh","first_name":"Dan-Adrian"}],"article_processing_charge":"Yes (via OA deal)","doi":"10.1145/3528535.3565248","date_updated":"2023-04-03T06:21:04Z","quality_controlled":"1","file_date_updated":"2023-04-03T06:17:58Z","conference":{"name":"Middleware: International Middleware Conference","end_date":"2022-11-11","location":"Quebec, QC, Canada","start_date":"2022-11-07"},"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"ddc":["000"],"day":"01","month":"11","language":[{"iso":"eng"}],"file":[{"date_updated":"2023-04-03T06:17:58Z","file_id":"12795","checksum":"1a397746235f245da5468819247ff663","file_name":"2022_ACMMiddleware_Markov.pdf","file_size":1514169,"access_level":"open_access","creator":"dernst","relation":"main_file","date_created":"2023-04-03T06:17:58Z","success":1,"content_type":"application/pdf"}],"publication_status":"published","arxiv":1,"abstract":[{"text":"The ability to scale out training workloads has been one of the key performance enablers of deep learning. The main scaling approach is data-parallel GPU-based training, which has been boosted by hardware and software support for highly efficient point-to-point communication, and in particular via hardware bandwidth over-provisioning. Overprovisioning comes at a cost: there is an order of magnitude price difference between \"cloud-grade\" servers with such support, relative to their popular \"consumer-grade\" counterparts, although single server-grade and consumer-grade GPUs can have similar computational envelopes.\r\n\r\nIn this paper, we show that the costly hardware overprovisioning approach can be supplanted via algorithmic and system design, and propose a framework called CGX, which provides efficient software support for compressed communication in ML applications, for both multi-GPU single-node training, as well as larger-scale multi-node training. CGX is based on two technical advances: At the system level, it relies on a re-developed communication stack for ML frameworks, which provides flexible, highly-efficient support for compressed communication. At the application level, it provides seamless, parameter-free integration with popular frameworks, so that end-users do not have to modify training recipes, nor significant training code. This is complemented by a layer-wise adaptive compression technique which dynamically balances compression gains with accuracy preservation. CGX integrates with popular ML frameworks, providing up to 3X speedups for multi-GPU nodes based on commodity hardware, and order-of-magnitude improvements in the multi-node setting, with negligible impact on accuracy.","lang":"eng"}],"publication":"Proceedings of the 23rd ACM/IFIP International Middleware Conference","title":"CGX: Adaptive system support for communication-efficient deep learning","department":[{"_id":"DaAl"}],"publisher":"Association for Computing Machinery","date_created":"2023-03-31T06:17:00Z","oa_version":"Published Version","status":"public","oa":1,"acknowledgement":"The authors sincerely thank Nikoli Dryden, Tal Ben-Nun, Torsten Hoefler and Bapi Chatterjee for useful discussions throughout the development of this project.","external_id":{"arxiv":["2111.08617"]},"citation":{"apa":"Markov, I., Ramezanikebrya, H., &#38; Alistarh, D.-A. (2022). CGX: Adaptive system support for communication-efficient deep learning. In <i>Proceedings of the 23rd ACM/IFIP International Middleware Conference</i> (pp. 241–254). Quebec, QC, Canada: Association for Computing Machinery. <a href=\"https://doi.org/10.1145/3528535.3565248\">https://doi.org/10.1145/3528535.3565248</a>","ieee":"I. Markov, H. Ramezanikebrya, and D.-A. Alistarh, “CGX: Adaptive system support for communication-efficient deep learning,” in <i>Proceedings of the 23rd ACM/IFIP International Middleware Conference</i>, Quebec, QC, Canada, 2022, pp. 241–254.","chicago":"Markov, Ilia, Hamidreza Ramezanikebrya, and Dan-Adrian Alistarh. “CGX: Adaptive System Support for Communication-Efficient Deep Learning.” In <i>Proceedings of the 23rd ACM/IFIP International Middleware Conference</i>, 241–54. Association for Computing Machinery, 2022. <a href=\"https://doi.org/10.1145/3528535.3565248\">https://doi.org/10.1145/3528535.3565248</a>.","ista":"Markov I, Ramezanikebrya H, Alistarh D-A. 2022. CGX: Adaptive system support for communication-efficient deep learning. Proceedings of the 23rd ACM/IFIP International Middleware Conference. Middleware: International Middleware Conference, 241–254.","mla":"Markov, Ilia, et al. “CGX: Adaptive System Support for Communication-Efficient Deep Learning.” <i>Proceedings of the 23rd ACM/IFIP International Middleware Conference</i>, Association for Computing Machinery, 2022, pp. 241–54, doi:<a href=\"https://doi.org/10.1145/3528535.3565248\">10.1145/3528535.3565248</a>.","short":"I. Markov, H. Ramezanikebrya, D.-A. Alistarh, in:, Proceedings of the 23rd ACM/IFIP International Middleware Conference, Association for Computing Machinery, 2022, pp. 241–254.","ama":"Markov I, Ramezanikebrya H, Alistarh D-A. CGX: Adaptive system support for communication-efficient deep learning. In: <i>Proceedings of the 23rd ACM/IFIP International Middleware Conference</i>. Association for Computing Machinery; 2022:241-254. doi:<a href=\"https://doi.org/10.1145/3528535.3565248\">10.1145/3528535.3565248</a>"},"publication_identifier":{"isbn":["9781450393409"]},"page":"241-254","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"conference","_id":"12780","year":"2022","has_accepted_license":"1"},{"article_processing_charge":"No","doi":"10.2140/pjm.2022.321.193","date_updated":"2023-08-04T10:42:38Z","author":[{"last_name":"Yu","orcid":"0000-0001-5128-7126","first_name":"Hongjie","id":"3D7DD9BE-F248-11E8-B48F-1D18A9856A87","full_name":"Yu, Hongjie"}],"date_published":"2022-08-29T00:00:00Z","quality_controlled":"1","keyword":["Arthur–Selberg trace formula","cuspidal automorphic representations","global function fields"],"scopus_import":"1","day":"29","month":"08","isi":1,"language":[{"iso":"eng"}],"project":[{"grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships","_id":"260C2330-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"}],"publication_status":"published","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2109.10245","open_access":"1"}],"intvolume":"       321","arxiv":1,"abstract":[{"text":"Let F be a global function field with constant field Fq. Let G be a reductive group over Fq. We establish a variant of Arthur's truncated kernel for G and for its Lie algebra which generalizes Arthur's original construction. We establish a coarse geometric expansion for our variant truncation.\r\nAs applications, we consider some existence and uniqueness problems of some cuspidal automorphic representations for the functions field of the projective line P1Fq with two points of ramifications.","lang":"eng"}],"publisher":"Mathematical Sciences Publishers","publication":"Pacific Journal of Mathematics","title":" A coarse geometric expansion of a variant of Arthur's truncated traces and some applications","department":[{"_id":"TaHa"}],"ec_funded":1,"date_created":"2023-04-02T22:01:11Z","oa_version":"Preprint","issue":"1","article_type":"original","external_id":{"isi":["000954466300006"],"arxiv":["2109.10245"]},"acknowledgement":"I’d like to thank Prof. Chaudouard for introducing me to this area. I’d like to thank Prof. Harris for asking me the question that makes Section 10 possible. I’m grateful for the support of Prof. Hausel and IST Austria. The author was funded by an ISTplus fellowship: This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 754411.","status":"public","oa":1,"publication_identifier":{"issn":["0030-8730"],"eissn":["1945-5844"]},"citation":{"apa":"Yu, H. (2022).  A coarse geometric expansion of a variant of Arthur’s truncated traces and some applications. <i>Pacific Journal of Mathematics</i>. Mathematical Sciences Publishers. <a href=\"https://doi.org/10.2140/pjm.2022.321.193\">https://doi.org/10.2140/pjm.2022.321.193</a>","chicago":"Yu, Hongjie. “ A Coarse Geometric Expansion of a Variant of Arthur’s Truncated Traces and Some Applications.” <i>Pacific Journal of Mathematics</i>. Mathematical Sciences Publishers, 2022. <a href=\"https://doi.org/10.2140/pjm.2022.321.193\">https://doi.org/10.2140/pjm.2022.321.193</a>.","ieee":"H. Yu, “ A coarse geometric expansion of a variant of Arthur’s truncated traces and some applications,” <i>Pacific Journal of Mathematics</i>, vol. 321, no. 1. Mathematical Sciences Publishers, pp. 193–237, 2022.","short":"H. Yu, Pacific Journal of Mathematics 321 (2022) 193–237.","ista":"Yu H. 2022.  A coarse geometric expansion of a variant of Arthur’s truncated traces and some applications. Pacific Journal of Mathematics. 321(1), 193–237.","mla":"Yu, Hongjie. “ A Coarse Geometric Expansion of a Variant of Arthur’s Truncated Traces and Some Applications.” <i>Pacific Journal of Mathematics</i>, vol. 321, no. 1, Mathematical Sciences Publishers, 2022, pp. 193–237, doi:<a href=\"https://doi.org/10.2140/pjm.2022.321.193\">10.2140/pjm.2022.321.193</a>.","ama":"Yu H.  A coarse geometric expansion of a variant of Arthur’s truncated traces and some applications. <i>Pacific Journal of Mathematics</i>. 2022;321(1):193-237. doi:<a href=\"https://doi.org/10.2140/pjm.2022.321.193\">10.2140/pjm.2022.321.193</a>"},"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","type":"journal_article","volume":321,"page":"193-237","year":"2022","_id":"12793"},{"publication":"arXiv","department":[{"_id":"GradSch"},{"_id":"MaMo"}],"title":"Towards differential relational privacy and its use in question answering","article_number":"2203.16701","date_created":"2023-04-23T16:11:48Z","oa_version":"Preprint","date_published":"2022-03-30T00:00:00Z","author":[{"full_name":"Bombari, Simone","id":"ca726dda-de17-11ea-bc14-f9da834f63aa","first_name":"Simone","last_name":"Bombari"},{"full_name":"Achille, Alessandro","last_name":"Achille","first_name":"Alessandro"},{"full_name":"Wang, Zijian","first_name":"Zijian","last_name":"Wang"},{"full_name":"Wang, Yu-Xiang","last_name":"Wang","first_name":"Yu-Xiang"},{"first_name":"Yusheng","last_name":"Xie","full_name":"Xie, Yusheng"},{"first_name":"Kunwar Yashraj","last_name":"Singh","full_name":"Singh, Kunwar Yashraj"},{"first_name":"Srikar","last_name":"Appalaraju","full_name":"Appalaraju, Srikar"},{"last_name":"Mahadevan","first_name":"Vijay","full_name":"Mahadevan, Vijay"},{"first_name":"Stefano","last_name":"Soatto","full_name":"Soatto, Stefano"}],"arxiv":1,"article_processing_charge":"No","doi":"10.48550/arXiv.2203.16701","date_updated":"2023-04-25T07:34:49Z","abstract":[{"lang":"eng","text":"Memorization of the relation between entities in a dataset can lead to privacy issues when using a trained model for question answering. We introduce Relational Memorization (RM) to understand, quantify and control this phenomenon. While bounding general memorization can have detrimental effects on the performance of a trained model, bounding RM does not prevent effective learning. The difference is most pronounced when the data distribution is long-tailed, with many queries having only few training examples: Impeding general memorization prevents effective learning, while impeding only relational memorization still allows learning general properties of the underlying concepts. We formalize the notion of Relational Privacy (RP) and, inspired by Differential Privacy (DP), we provide a possible definition of Differential Relational Privacy (DrP). These notions can be used to describe and compute bounds on the amount of RM in a trained model. We illustrate Relational Privacy concepts in experiments with large-scale models for Question Answering."}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"preprint","_id":"12860","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2203.16701"}],"year":"2022","publication_status":"submitted","oa":1,"status":"public","external_id":{"arxiv":["2203.16701"]},"day":"30","citation":{"chicago":"Bombari, Simone, Alessandro Achille, Zijian Wang, Yu-Xiang Wang, Yusheng Xie, Kunwar Yashraj Singh, Srikar Appalaraju, Vijay Mahadevan, and Stefano Soatto. “Towards Differential Relational Privacy and Its Use in Question Answering.” <i>ArXiv</i>, n.d. <a href=\"https://doi.org/10.48550/arXiv.2203.16701\">https://doi.org/10.48550/arXiv.2203.16701</a>.","ieee":"S. Bombari <i>et al.</i>, “Towards differential relational privacy and its use in question answering,” <i>arXiv</i>. .","apa":"Bombari, S., Achille, A., Wang, Z., Wang, Y.-X., Xie, Y., Singh, K. Y., … Soatto, S. (n.d.). Towards differential relational privacy and its use in question answering. <i>arXiv</i>. <a href=\"https://doi.org/10.48550/arXiv.2203.16701\">https://doi.org/10.48550/arXiv.2203.16701</a>","ama":"Bombari S, Achille A, Wang Z, et al. Towards differential relational privacy and its use in question answering. <i>arXiv</i>. doi:<a href=\"https://doi.org/10.48550/arXiv.2203.16701\">10.48550/arXiv.2203.16701</a>","ista":"Bombari S, Achille A, Wang Z, Wang Y-X, Xie Y, Singh KY, Appalaraju S, Mahadevan V, Soatto S. Towards differential relational privacy and its use in question answering. arXiv, 2203.16701.","short":"S. Bombari, A. Achille, Z. Wang, Y.-X. Wang, Y. Xie, K.Y. Singh, S. Appalaraju, V. Mahadevan, S. Soatto, ArXiv (n.d.).","mla":"Bombari, Simone, et al. “Towards Differential Relational Privacy and Its Use in Question Answering.” <i>ArXiv</i>, 2203.16701, doi:<a href=\"https://doi.org/10.48550/arXiv.2203.16701\">10.48550/arXiv.2203.16701</a>."},"month":"03","language":[{"iso":"eng"}]},{"publication":"ASHPC22 - Austrian-Slovenian HPC Meeting 2022","title":"Where is the sweet spot? A procurement story of general purpose compute nodes","department":[{"_id":"ScienComp"}],"publisher":"EuroCC Austria c/o Universität Wien","date_created":"2023-05-05T09:13:42Z","oa_version":"Published Version","page":"7","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"conference_abstract","_id":"12894","year":"2022","has_accepted_license":"1","status":"public","oa":1,"acknowledgement":"The abstracts in this booklet are licenced under a CC BY 4.0 licence (https://creativecommons.org/licenses/by/4.0/legalcode), except Markus Wallerberger’s contribution at page 21, licenced under a CC BY-SA 4.0 licence (https://creativecommons.org/licenses/by-sa/4.0/legalcode).\r\n","citation":{"ama":"Schlögl A, Hornoiu A, Elefante S, Stadlbauer S. Where is the sweet spot? A procurement story of general purpose compute nodes. In: <i>ASHPC22 - Austrian-Slovenian HPC Meeting 2022</i>. EuroCC Austria c/o Universität Wien; 2022:7. doi:<a href=\"https://doi.org/10.25365/phaidra.337\">10.25365/phaidra.337</a>","short":"A. Schlögl, A. Hornoiu, S. Elefante, S. Stadlbauer, in:, ASHPC22 - Austrian-Slovenian HPC Meeting 2022, EuroCC Austria c/o Universität Wien, 2022, p. 7.","ista":"Schlögl A, Hornoiu A, Elefante S, Stadlbauer S. 2022. Where is the sweet spot? A procurement story of general purpose compute nodes. ASHPC22 - Austrian-Slovenian HPC Meeting 2022. ASHPC: Austrian-Slovenian HPC Meeting, 7.","mla":"Schlögl, Alois, et al. “Where Is the Sweet Spot? A Procurement Story of General Purpose Compute Nodes.” <i>ASHPC22 - Austrian-Slovenian HPC Meeting 2022</i>, EuroCC Austria c/o Universität Wien, 2022, p. 7, doi:<a href=\"https://doi.org/10.25365/phaidra.337\">10.25365/phaidra.337</a>.","ieee":"A. Schlögl, A. Hornoiu, S. Elefante, and S. Stadlbauer, “Where is the sweet spot? A procurement story of general purpose compute nodes,” in <i>ASHPC22 - Austrian-Slovenian HPC Meeting 2022</i>, Grundlsee, Austria, 2022, p. 7.","chicago":"Schlögl, Alois, Andrei Hornoiu, Stefano Elefante, and Stephan Stadlbauer. “Where Is the Sweet Spot? A Procurement Story of General Purpose Compute Nodes.” In <i>ASHPC22 - Austrian-Slovenian HPC Meeting 2022</i>, 7. EuroCC Austria c/o Universität Wien, 2022. <a href=\"https://doi.org/10.25365/phaidra.337\">https://doi.org/10.25365/phaidra.337</a>.","apa":"Schlögl, A., Hornoiu, A., Elefante, S., &#38; Stadlbauer, S. (2022). Where is the sweet spot? A procurement story of general purpose compute nodes. In <i>ASHPC22 - Austrian-Slovenian HPC Meeting 2022</i> (p. 7). Grundlsee, Austria: EuroCC Austria c/o Universität Wien. <a href=\"https://doi.org/10.25365/phaidra.337\">https://doi.org/10.25365/phaidra.337</a>"},"publication_identifier":{"isbn":["978-3-200-08499-5"]},"file_date_updated":"2023-05-05T09:06:00Z","conference":{"start_date":"2022-05-31","location":"Grundlsee, Austria","end_date":"2022-06-02","name":"ASHPC: Austrian-Slovenian HPC Meeting"},"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"date_published":"2022-06-02T00:00:00Z","author":[{"full_name":"Schlögl, Alois","id":"45BF87EE-F248-11E8-B48F-1D18A9856A87","first_name":"Alois","last_name":"Schlögl","orcid":"0000-0002-5621-8100"},{"first_name":"Andrei","last_name":"Hornoiu","full_name":"Hornoiu, Andrei","id":"77129392-B450-11EA-8745-D4653DDC885E"},{"first_name":"Stefano","last_name":"Elefante","full_name":"Elefante, Stefano","id":"490F40CE-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Stephan","last_name":"Stadlbauer","full_name":"Stadlbauer, Stephan","id":"4D0BC184-F248-11E8-B48F-1D18A9856A87"}],"article_processing_charge":"No","doi":"10.25365/phaidra.337","date_updated":"2023-05-16T07:42:56Z","file":[{"file_size":7180531,"file_name":"BOOKLET_ASHPC22.pdf","checksum":"e3f8c240b85422ce2190e7b203cc2563","file_id":"12895","date_updated":"2023-05-05T09:06:00Z","content_type":"application/pdf","success":1,"date_created":"2023-05-05T09:06:00Z","relation":"main_file","creator":"schloegl","access_level":"open_access"}],"publication_status":"published","ddc":["000"],"day":"02","month":"06","language":[{"iso":"eng"}]},{"quality_controlled":"1","keyword":["Catalysis","General Chemistry"],"scopus_import":"1","article_processing_charge":"No","date_updated":"2023-05-15T08:30:13Z","doi":"10.1021/acscatal.2c04025","author":[{"first_name":"Zhouxiang","last_name":"Zhao","full_name":"Zhao, Zhouxiang"},{"first_name":"Bartholomäus","last_name":"Pieber","orcid":"0000-0001-8689-388X","full_name":"Pieber, Bartholomäus","id":"93e5e5b2-0da6-11ed-8a41-af589a024726"},{"first_name":"Martina","last_name":"Delbianco","full_name":"Delbianco, Martina"}],"date_published":"2022-10-27T00:00:00Z","publication_status":"published","intvolume":"        12","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1021/acscatal.2c04025"}],"month":"10","language":[{"iso":"eng"}],"day":"27","date_created":"2023-05-08T08:28:54Z","oa_version":"Published Version","publisher":"American Chemical Society","publication":"ACS Catalysis","title":"Modulating the surface and photophysical properties of carbon dots to access colloidal photocatalysts for cross-couplings","extern":"1","abstract":[{"lang":"eng","text":"Photoredox-mediated Ni-catalyzed cross-couplings are powerful transformations to form carbon–heteroatom bonds and are generally photocatalyzed by noble metal complexes. Low-cost and easy-to-prepare carbon dots (CDs) are attractive quasi-homogeneous photocatalyst alternatives, but their applicability is limited by their short photoluminescence (PL) lifetimes. By tuning the surface and PL properties of CDs, we designed colloidal CD nano-photocatalysts for a broad range of Ni-mediated cross-couplings between aryl halides and nucleophiles. In particular, a CD decorated with amino groups permitted coupling to a wide range of aryl halides and thiols under mild, base-free conditions. Mechanistic studies suggested dynamic quenching of the CD excited state by the Ni co-catalyst and identified that pyridinium iodide (pyHI), a previously used additive in metallaphotocatalyzed cross-couplings, can also act as a photocatalyst in such transformations."}],"year":"2022","_id":"12923","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"journal_article","volume":12,"page":"13831-13837","publication_identifier":{"eissn":["2155-5435"]},"citation":{"chicago":"Zhao, Zhouxiang, Bartholomäus Pieber, and Martina Delbianco. “Modulating the Surface and Photophysical Properties of Carbon Dots to Access Colloidal Photocatalysts for Cross-Couplings.” <i>ACS Catalysis</i>. American Chemical Society, 2022. <a href=\"https://doi.org/10.1021/acscatal.2c04025\">https://doi.org/10.1021/acscatal.2c04025</a>.","ieee":"Z. Zhao, B. Pieber, and M. Delbianco, “Modulating the surface and photophysical properties of carbon dots to access colloidal photocatalysts for cross-couplings,” <i>ACS Catalysis</i>, vol. 12, no. 22. American Chemical Society, pp. 13831–13837, 2022.","apa":"Zhao, Z., Pieber, B., &#38; Delbianco, M. (2022). Modulating the surface and photophysical properties of carbon dots to access colloidal photocatalysts for cross-couplings. <i>ACS Catalysis</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acscatal.2c04025\">https://doi.org/10.1021/acscatal.2c04025</a>","ama":"Zhao Z, Pieber B, Delbianco M. Modulating the surface and photophysical properties of carbon dots to access colloidal photocatalysts for cross-couplings. <i>ACS Catalysis</i>. 2022;12(22):13831-13837. doi:<a href=\"https://doi.org/10.1021/acscatal.2c04025\">10.1021/acscatal.2c04025</a>","mla":"Zhao, Zhouxiang, et al. “Modulating the Surface and Photophysical Properties of Carbon Dots to Access Colloidal Photocatalysts for Cross-Couplings.” <i>ACS Catalysis</i>, vol. 12, no. 22, American Chemical Society, 2022, pp. 13831–37, doi:<a href=\"https://doi.org/10.1021/acscatal.2c04025\">10.1021/acscatal.2c04025</a>.","ista":"Zhao Z, Pieber B, Delbianco M. 2022. Modulating the surface and photophysical properties of carbon dots to access colloidal photocatalysts for cross-couplings. ACS Catalysis. 12(22), 13831–13837.","short":"Z. Zhao, B. Pieber, M. Delbianco, ACS Catalysis 12 (2022) 13831–13837."},"issue":"22","article_type":"original","oa":1,"status":"public"},{"day":"14","language":[{"iso":"eng"}],"month":"11","intvolume":"        61","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1002/anie.202211433"}],"publication_status":"published","author":[{"first_name":"Cristian","last_name":"Cavedon","full_name":"Cavedon, Cristian"},{"full_name":"Gisbertz, Sebastian","first_name":"Sebastian","last_name":"Gisbertz"},{"full_name":"Reischauer, Susanne","first_name":"Susanne","last_name":"Reischauer"},{"full_name":"Vogl, Sarah","first_name":"Sarah","last_name":"Vogl"},{"first_name":"Eric","last_name":"Sperlich","full_name":"Sperlich, Eric"},{"last_name":"Burke","first_name":"John H.","full_name":"Burke, John H."},{"last_name":"Wallick","first_name":"Rachel F.","full_name":"Wallick, Rachel F."},{"first_name":"Stefanie","last_name":"Schrottke","full_name":"Schrottke, Stefanie"},{"last_name":"Hsu","first_name":"Wei‐Hsin","full_name":"Hsu, Wei‐Hsin"},{"first_name":"Lucia","last_name":"Anghileri","full_name":"Anghileri, Lucia"},{"first_name":"Yannik","last_name":"Pfeifer","full_name":"Pfeifer, Yannik"},{"first_name":"Noah","last_name":"Richter","full_name":"Richter, Noah"},{"last_name":"Teutloff","first_name":"Christian","full_name":"Teutloff, Christian"},{"full_name":"Müller‐Werkmeister, Henrike","first_name":"Henrike","last_name":"Müller‐Werkmeister"},{"full_name":"Cambié, Dario","last_name":"Cambié","first_name":"Dario"},{"full_name":"Seeberger, Peter H.","last_name":"Seeberger","first_name":"Peter H."},{"last_name":"Vura‐Weis","first_name":"Josh","full_name":"Vura‐Weis, Josh"},{"full_name":"van der Veen, Renske M.","first_name":"Renske M.","last_name":"van der Veen"},{"last_name":"Thomas","first_name":"Arne","full_name":"Thomas, Arne"},{"id":"93e5e5b2-0da6-11ed-8a41-af589a024726","full_name":"Pieber, Bartholomäus","orcid":"0000-0001-8689-388X","last_name":"Pieber","first_name":"Bartholomäus"}],"date_published":"2022-11-14T00:00:00Z","date_updated":"2023-05-15T08:27:25Z","doi":"10.1002/anie.202211433","article_processing_charge":"No","scopus_import":"1","keyword":["General Chemistry","Catalysis"],"quality_controlled":"1","article_number":"e202211433","status":"public","oa":1,"article_type":"original","issue":"46","citation":{"ieee":"C. Cavedon <i>et al.</i>, “Intraligand charge transfer enables visible‐light‐mediated Nickel‐catalyzed cross-coupling reactions,” <i>Angewandte Chemie International Edition</i>, vol. 61, no. 46. Wiley, 2022.","chicago":"Cavedon, Cristian, Sebastian Gisbertz, Susanne Reischauer, Sarah Vogl, Eric Sperlich, John H. Burke, Rachel F. Wallick, et al. “Intraligand Charge Transfer Enables Visible‐light‐mediated Nickel‐catalyzed Cross-Coupling Reactions.” <i>Angewandte Chemie International Edition</i>. Wiley, 2022. <a href=\"https://doi.org/10.1002/anie.202211433\">https://doi.org/10.1002/anie.202211433</a>.","apa":"Cavedon, C., Gisbertz, S., Reischauer, S., Vogl, S., Sperlich, E., Burke, J. H., … Pieber, B. (2022). Intraligand charge transfer enables visible‐light‐mediated Nickel‐catalyzed cross-coupling reactions. <i>Angewandte Chemie International Edition</i>. Wiley. <a href=\"https://doi.org/10.1002/anie.202211433\">https://doi.org/10.1002/anie.202211433</a>","ama":"Cavedon C, Gisbertz S, Reischauer S, et al. Intraligand charge transfer enables visible‐light‐mediated Nickel‐catalyzed cross-coupling reactions. <i>Angewandte Chemie International Edition</i>. 2022;61(46). doi:<a href=\"https://doi.org/10.1002/anie.202211433\">10.1002/anie.202211433</a>","ista":"Cavedon C, Gisbertz S, Reischauer S, Vogl S, Sperlich E, Burke JH, Wallick RF, Schrottke S, Hsu W, Anghileri L, Pfeifer Y, Richter N, Teutloff C, Müller‐Werkmeister H, Cambié D, Seeberger PH, Vura‐Weis J, van der Veen RM, Thomas A, Pieber B. 2022. Intraligand charge transfer enables visible‐light‐mediated Nickel‐catalyzed cross-coupling reactions. Angewandte Chemie International Edition. 61(46), e202211433.","short":"C. Cavedon, S. Gisbertz, S. Reischauer, S. Vogl, E. Sperlich, J.H. Burke, R.F. Wallick, S. Schrottke, W. Hsu, L. Anghileri, Y. Pfeifer, N. Richter, C. Teutloff, H. Müller‐Werkmeister, D. Cambié, P.H. Seeberger, J. Vura‐Weis, R.M. van der Veen, A. Thomas, B. Pieber, Angewandte Chemie International Edition 61 (2022).","mla":"Cavedon, Cristian, et al. “Intraligand Charge Transfer Enables Visible‐light‐mediated Nickel‐catalyzed Cross-Coupling Reactions.” <i>Angewandte Chemie International Edition</i>, vol. 61, no. 46, e202211433, Wiley, 2022, doi:<a href=\"https://doi.org/10.1002/anie.202211433\">10.1002/anie.202211433</a>."},"publication_identifier":{"eissn":["1521-3773"],"issn":["1433-7851"]},"volume":61,"type":"journal_article","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"12924","year":"2022","abstract":[{"lang":"eng","text":"We demonstrate that several visible-light-mediated carbon−heteroatom cross-coupling reactions can be carried out using a photoactive NiII precatalyst that forms in situ from a nickel salt and a bipyridine ligand decorated with two carbazole groups (Ni(Czbpy)Cl2). The activation of this precatalyst towards cross-coupling reactions follows a hitherto undisclosed mechanism that is different from previously reported light-responsive nickel complexes that undergo metal-to-ligand charge transfer. Theoretical and spectroscopic investigations revealed that irradiation of Ni(Czbpy)Cl2 with visible light causes an initial intraligand charge transfer event that triggers productive catalysis. Ligand polymerization affords a porous, recyclable organic polymer for heterogeneous nickel catalysis of cross-coupling reactions. The heterogeneous catalyst shows stable performance in a packed-bed flow reactor during a week of continuous operation."}],"extern":"1","title":"Intraligand charge transfer enables visible‐light‐mediated Nickel‐catalyzed cross-coupling reactions","publication":"Angewandte Chemie International Edition","publisher":"Wiley","oa_version":"Published Version","date_created":"2023-05-08T08:30:11Z"},{"keyword":["Physical and Theoretical Chemistry","General Physics and Astronomy"],"scopus_import":"1","quality_controlled":"1","date_published":"2022-10-04T00:00:00Z","author":[{"full_name":"Gamper, Jakob","first_name":"Jakob","last_name":"Gamper"},{"full_name":"Kluibenschedl, Florian","id":"7499e70e-eb2c-11ec-b98b-f925648bc9d9","first_name":"Florian","last_name":"Kluibenschedl"},{"full_name":"Weiss, Alexander K. H.","first_name":"Alexander K. H.","last_name":"Weiss"},{"full_name":"Hofer, Thomas S.","first_name":"Thomas S.","last_name":"Hofer"}],"article_processing_charge":"No","doi":"10.1039/d2cp03921d","date_updated":"2023-05-15T07:54:08Z","intvolume":"        24","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1039/D2CP03921D"}],"publication_status":"published","month":"10","language":[{"iso":"eng"}],"pmid":1,"day":"04","date_created":"2023-05-10T14:48:46Z","oa_version":"Published Version","publication":"Physical Chemistry Chemical Physics","title":"From vibrational spectroscopy and quantum tunnelling to periodic band structures – a self-supervised, all-purpose neural network approach to general quantum problems","publisher":"Royal Society of Chemistry","abstract":[{"lang":"eng","text":"In this work, a feed-forward artificial neural network (FF-ANN) design capable of locating eigensolutions to Schrödinger's equation via self-supervised learning is outlined. Based on the input potential determining the nature of the quantum problem, the presented FF-ANN strategy identifies valid solutions solely by minimizing Schrödinger's equation encoded in a suitably designed global loss function. In addition to benchmark calculations of prototype systems with known analytical solutions, the outlined methodology was also applied to experimentally accessible quantum systems, such as the vibrational states of molecular hydrogen H2 and its isotopologues HD and D2 as well as the torsional tunnel splitting in the phenol molecule. It is shown that in conjunction with the use of SIREN activation functions a high accuracy in the energy eigenvalues and wavefunctions is achieved without the requirement to adjust the implementation to the vastly different range of input potentials, thereby even considering problems under periodic boundary conditions."}],"extern":"1","_id":"12938","year":"2022","volume":24,"page":"25191-25202","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"journal_article","citation":{"ama":"Gamper J, Kluibenschedl F, Weiss AKH, Hofer TS. From vibrational spectroscopy and quantum tunnelling to periodic band structures – a self-supervised, all-purpose neural network approach to general quantum problems. <i>Physical Chemistry Chemical Physics</i>. 2022;24(41):25191-25202. doi:<a href=\"https://doi.org/10.1039/d2cp03921d\">10.1039/d2cp03921d</a>","ista":"Gamper J, Kluibenschedl F, Weiss AKH, Hofer TS. 2022. From vibrational spectroscopy and quantum tunnelling to periodic band structures – a self-supervised, all-purpose neural network approach to general quantum problems. Physical Chemistry Chemical Physics. 24(41), 25191–25202.","mla":"Gamper, Jakob, et al. “From Vibrational Spectroscopy and Quantum Tunnelling to Periodic Band Structures – a Self-Supervised, All-Purpose Neural Network Approach to General Quantum Problems.” <i>Physical Chemistry Chemical Physics</i>, vol. 24, no. 41, Royal Society of Chemistry, 2022, pp. 25191–202, doi:<a href=\"https://doi.org/10.1039/d2cp03921d\">10.1039/d2cp03921d</a>.","short":"J. Gamper, F. Kluibenschedl, A.K.H. Weiss, T.S. Hofer, Physical Chemistry Chemical Physics 24 (2022) 25191–25202.","ieee":"J. Gamper, F. Kluibenschedl, A. K. H. Weiss, and T. S. Hofer, “From vibrational spectroscopy and quantum tunnelling to periodic band structures – a self-supervised, all-purpose neural network approach to general quantum problems,” <i>Physical Chemistry Chemical Physics</i>, vol. 24, no. 41. Royal Society of Chemistry, pp. 25191–25202, 2022.","chicago":"Gamper, Jakob, Florian Kluibenschedl, Alexander K. H. Weiss, and Thomas S. Hofer. “From Vibrational Spectroscopy and Quantum Tunnelling to Periodic Band Structures – a Self-Supervised, All-Purpose Neural Network Approach to General Quantum Problems.” <i>Physical Chemistry Chemical Physics</i>. Royal Society of Chemistry, 2022. <a href=\"https://doi.org/10.1039/d2cp03921d\">https://doi.org/10.1039/d2cp03921d</a>.","apa":"Gamper, J., Kluibenschedl, F., Weiss, A. K. H., &#38; Hofer, T. S. (2022). From vibrational spectroscopy and quantum tunnelling to periodic band structures – a self-supervised, all-purpose neural network approach to general quantum problems. <i>Physical Chemistry Chemical Physics</i>. Royal Society of Chemistry. <a href=\"https://doi.org/10.1039/d2cp03921d\">https://doi.org/10.1039/d2cp03921d</a>"},"publication_identifier":{"issn":["1463-9076","1463-9084"]},"status":"public","oa":1,"issue":"41","article_type":"original","external_id":{"pmid":["36254856"]}},{"citation":{"ama":"Assen FP, Abe J, Hons M, et al. Multitier mechanics control stromal adaptations in swelling lymph nodes. <i>Nature Immunology</i>. 2022;23:1246-1255. doi:<a href=\"https://doi.org/10.1038/s41590-022-01257-4\">10.1038/s41590-022-01257-4</a>","mla":"Assen, Frank P., et al. “Multitier Mechanics Control Stromal Adaptations in Swelling Lymph Nodes.” <i>Nature Immunology</i>, vol. 23, Springer Nature, 2022, pp. 1246–55, doi:<a href=\"https://doi.org/10.1038/s41590-022-01257-4\">10.1038/s41590-022-01257-4</a>.","ista":"Assen FP, Abe J, Hons M, Hauschild R, Shamipour S, Kaufmann W, Costanzo T, Krens G, Brown M, Ludewig B, Hippenmeyer S, Heisenberg C-PJ, Weninger W, Hannezo EB, Luther SA, Stein JV, Sixt MK. 2022. Multitier mechanics control stromal adaptations in swelling lymph nodes. Nature Immunology. 23, 1246–1255.","short":"F.P. Assen, J. Abe, M. Hons, R. Hauschild, S. Shamipour, W. Kaufmann, T. Costanzo, G. Krens, M. Brown, B. Ludewig, S. Hippenmeyer, C.-P.J. Heisenberg, W. Weninger, E.B. Hannezo, S.A. Luther, J.V. Stein, M.K. Sixt, Nature Immunology 23 (2022) 1246–1255.","chicago":"Assen, Frank P, Jun Abe, Miroslav Hons, Robert Hauschild, Shayan Shamipour, Walter Kaufmann, Tommaso Costanzo, et al. “Multitier Mechanics Control Stromal Adaptations in Swelling Lymph Nodes.” <i>Nature Immunology</i>. Springer Nature, 2022. <a href=\"https://doi.org/10.1038/s41590-022-01257-4\">https://doi.org/10.1038/s41590-022-01257-4</a>.","ieee":"F. P. Assen <i>et al.</i>, “Multitier mechanics control stromal adaptations in swelling lymph nodes,” <i>Nature Immunology</i>, vol. 23. Springer Nature, pp. 1246–1255, 2022.","apa":"Assen, F. P., Abe, J., Hons, M., Hauschild, R., Shamipour, S., Kaufmann, W., … Sixt, M. K. (2022). Multitier mechanics control stromal adaptations in swelling lymph nodes. <i>Nature Immunology</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41590-022-01257-4\">https://doi.org/10.1038/s41590-022-01257-4</a>"},"publication_identifier":{"issn":["1529-2908"],"eissn":["1529-2916"]},"status":"public","oa":1,"acknowledgement":"This research was supported by the Scientific Service Units of IST Austria through resources provided by the Imaging and Optics, Electron Microscopy, Preclinical and Life Science Facilities. We thank C. Moussion for providing anti-PNAd antibody and D. Critchley for Talin1-floxed mice, and E. Papusheva for providing a custom 3D channel alignment script. This work was supported by a European Research Council grant ERC-CoG-72437 to M.S. M.H. was supported by Czech Sciencundation GACR 20-24603Y and Charles University PRIMUS/20/MED/013.","external_id":{"isi":["000822975900002"]},"article_type":"original","_id":"9794","has_accepted_license":"1","year":"2022","page":"1246-1255","volume":23,"type":"journal_article","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","abstract":[{"text":"Lymph nodes (LNs) comprise two main structural elements: fibroblastic reticular cells that form dedicated niches for immune cell interaction and capsular fibroblasts that build a shell around the organ. Immunological challenge causes LNs to increase more than tenfold in size within a few days. Here, we characterized the biomechanics of LN swelling on the cellular and organ scale. We identified lymphocyte trapping by influx and proliferation as drivers of an outward pressure force, causing fibroblastic reticular cells of the T-zone (TRCs) and their associated conduits to stretch. After an initial phase of relaxation, TRCs sensed the resulting strain through cell matrix adhesions, which coordinated local growth and remodeling of the stromal network. While the expanded TRC network readopted its typical configuration, a massive fibrotic reaction of the organ capsule set in and countered further organ expansion. Thus, different fibroblast populations mechanically control LN swelling in a multitier fashion.","lang":"eng"}],"oa_version":"Published Version","ec_funded":1,"date_created":"2021-08-06T09:09:11Z","title":"Multitier mechanics control stromal adaptations in swelling lymph nodes","department":[{"_id":"SiHi"},{"_id":"CaHe"},{"_id":"EdHa"},{"_id":"EM-Fac"},{"_id":"Bio"},{"_id":"MiSi"}],"publication":"Nature Immunology","publisher":"Springer Nature","language":[{"iso":"eng"}],"project":[{"_id":"25FE9508-B435-11E9-9278-68D0E5697425","grant_number":"724373","name":"Cellular navigation along spatial gradients","call_identifier":"H2020"}],"month":"07","isi":1,"day":"11","ddc":["570"],"intvolume":"        23","publication_status":"published","file":[{"file_id":"11642","date_updated":"2022-07-25T07:11:32Z","file_name":"2022_NatureImmunology_Assen.pdf","checksum":"628e7b49809f22c75b428842efe70c68","file_size":11475325,"creator":"dernst","access_level":"open_access","relation":"main_file","success":1,"date_created":"2022-07-25T07:11:32Z","content_type":"application/pdf"}],"scopus_import":"1","quality_controlled":"1","date_published":"2022-07-11T00:00:00Z","author":[{"orcid":"0000-0003-3470-6119","last_name":"Assen","first_name":"Frank P","id":"3A8E7F24-F248-11E8-B48F-1D18A9856A87","full_name":"Assen, Frank P"},{"first_name":"Jun","last_name":"Abe","full_name":"Abe, Jun"},{"full_name":"Hons, Miroslav","id":"4167FE56-F248-11E8-B48F-1D18A9856A87","first_name":"Miroslav","last_name":"Hons","orcid":"0000-0002-6625-3348"},{"id":"4E01D6B4-F248-11E8-B48F-1D18A9856A87","full_name":"Hauschild, Robert","last_name":"Hauschild","orcid":"0000-0001-9843-3522","first_name":"Robert"},{"full_name":"Shamipour, Shayan","id":"40B34FE2-F248-11E8-B48F-1D18A9856A87","first_name":"Shayan","last_name":"Shamipour"},{"orcid":"0000-0001-9735-5315","last_name":"Kaufmann","first_name":"Walter","id":"3F99E422-F248-11E8-B48F-1D18A9856A87","full_name":"Kaufmann, Walter"},{"first_name":"Tommaso","orcid":"0000-0001-9732-3815","last_name":"Costanzo","full_name":"Costanzo, Tommaso","id":"D93824F4-D9BA-11E9-BB12-F207E6697425"},{"full_name":"Krens, Gabriel","id":"2B819732-F248-11E8-B48F-1D18A9856A87","first_name":"Gabriel","orcid":"0000-0003-4761-5996","last_name":"Krens"},{"first_name":"Markus","last_name":"Brown","full_name":"Brown, Markus","id":"3DAB9AFC-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Ludewig, Burkhard","last_name":"Ludewig","first_name":"Burkhard"},{"id":"37B36620-F248-11E8-B48F-1D18A9856A87","full_name":"Hippenmeyer, Simon","last_name":"Hippenmeyer","orcid":"0000-0003-2279-1061","first_name":"Simon"},{"first_name":"Carl-Philipp J","last_name":"Heisenberg","orcid":"0000-0002-0912-4566","full_name":"Heisenberg, Carl-Philipp J","id":"39427864-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Weninger","first_name":"Wolfgang","full_name":"Weninger, Wolfgang"},{"id":"3A9DB764-F248-11E8-B48F-1D18A9856A87","full_name":"Hannezo, Edouard B","last_name":"Hannezo","orcid":"0000-0001-6005-1561","first_name":"Edouard B"},{"full_name":"Luther, Sanjiv A.","last_name":"Luther","first_name":"Sanjiv A."},{"first_name":"Jens V.","last_name":"Stein","full_name":"Stein, Jens V."},{"id":"41E9FBEA-F248-11E8-B48F-1D18A9856A87","full_name":"Sixt, Michael K","orcid":"0000-0002-4561-241X","last_name":"Sixt","first_name":"Michael K"}],"date_updated":"2023-08-02T06:53:07Z","doi":"10.1038/s41590-022-01257-4","article_processing_charge":"No","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"acknowledged_ssus":[{"_id":"Bio"},{"_id":"EM-Fac"},{"_id":"PreCl"},{"_id":"LifeSc"}],"file_date_updated":"2022-07-25T07:11:32Z"},{"publication":"Journal of Comparative Neurology","department":[{"_id":"MaJö"}],"title":"Change in the neurochemical signature and morphological development of the parvocellular isthmic projection to the avian tectum","publisher":"Wiley","date_created":"2021-08-23T08:40:59Z","oa_version":"None","abstract":[{"text":"Neurons can change their classical neurotransmitters during ontogeny, sometimes going through stages of dual release. Here, we explored the development of the neurotransmitter identity of neurons of the avian nucleus isthmi parvocellularis (Ipc), whose axon terminals are retinotopically arranged in the optic tectum (TeO) and exert a focal gating effect upon the ascending transmission of retinal inputs. Although cholinergic and glutamatergic markers are both found in Ipc neurons and terminals of adult pigeons and chicks, the mRNA expression of the vesicular acetylcholine transporter, VAChT, is weak or absent. To explore how the Ipc neurotransmitter identity is established during ontogeny, we analyzed the expression of mRNAs coding for cholinergic (ChAT, VAChT, and CHT) and glutamatergic (VGluT2 and VGluT3) markers in chick embryos at different developmental stages. We found that between E12 and E18, Ipc neurons expressed all cholinergic mRNAs and also VGluT2 mRNA; however, from E16 through posthatch stages, VAChT mRNA expression was specifically diminished. Our ex vivo deposits of tracer crystals and intracellular filling experiments revealed that Ipc axons exhibit a mature paintbrush morphology late in development, experiencing marked morphological transformations during the period of presumptive dual vesicular transmitter release. Additionally, although ChAT protein immunoassays increasingly label the growing Ipc axon, this labeling was consistently restricted to sparse portions of the terminal branches. Combined, these results suggest that the synthesis of glutamate and acetylcholine, and their vesicular release, is complexly linked to the developmental processes of branching, growing and remodeling of these unique axons.","lang":"eng"}],"volume":530,"page":"553-573","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","type":"journal_article","_id":"9955","year":"2022","acknowledgement":"This work was supported by FONDECYT grants 1151432 and 1210169 to Gonzalo J. Marín. FONDECYT grant 1210069 to Jorge Mpodozis. Spanish Ministry of Science, Innovation and Universities (MCIU), State Research Agency (AEI) and European Regional Development Fund (FEDER), PGC2018-098229-B-100 to José L Ferrán. Spanish Ministry of Economy and Competitiveness Excellency Grant BFU2014-57516P (with European Community FEDER support), and a Seneca Foundation (Autonomous Community of Murcia) Excellency Research contract, ref: 19904/ GERM/15; project name: Genoarchitectonic Brain Development and Applications to Neurodegenerative Diseases and Cancer (5672 Fundación Séneca) to Luis Puelles. The authors gratefully acknowledge the valuable editorial help provided by Sara Fernández-Collemann. The authors also thank Elisa Sentis and Solano Henríquez for expert technical help.","status":"public","issue":"2","external_id":{"isi":["000686420000001"],"pmid":["34363623"]},"article_type":"original","citation":{"chicago":"Reyes‐Pinto, Rosana, José L. Ferrán, Tomas A Vega Zuniga, Cristian González‐Cabrera, Harald Luksch, Jorge Mpodozis, Luis Puelles, and Gonzalo J. Marín. “Change in the Neurochemical Signature and Morphological Development of the Parvocellular Isthmic Projection to the Avian Tectum.” <i>Journal of Comparative Neurology</i>. Wiley, 2022. <a href=\"https://doi.org/10.1002/cne.25229\">https://doi.org/10.1002/cne.25229</a>.","ieee":"R. Reyes‐Pinto <i>et al.</i>, “Change in the neurochemical signature and morphological development of the parvocellular isthmic projection to the avian tectum,” <i>Journal of Comparative Neurology</i>, vol. 530, no. 2. Wiley, pp. 553–573, 2022.","apa":"Reyes‐Pinto, R., Ferrán, J. L., Vega Zuniga, T. A., González‐Cabrera, C., Luksch, H., Mpodozis, J., … Marín, G. J. (2022). Change in the neurochemical signature and morphological development of the parvocellular isthmic projection to the avian tectum. <i>Journal of Comparative Neurology</i>. Wiley. <a href=\"https://doi.org/10.1002/cne.25229\">https://doi.org/10.1002/cne.25229</a>","ama":"Reyes‐Pinto R, Ferrán JL, Vega Zuniga TA, et al. Change in the neurochemical signature and morphological development of the parvocellular isthmic projection to the avian tectum. <i>Journal of Comparative Neurology</i>. 2022;530(2):553-573. doi:<a href=\"https://doi.org/10.1002/cne.25229\">10.1002/cne.25229</a>","ista":"Reyes‐Pinto R, Ferrán JL, Vega Zuniga TA, González‐Cabrera C, Luksch H, Mpodozis J, Puelles L, Marín GJ. 2022. Change in the neurochemical signature and morphological development of the parvocellular isthmic projection to the avian tectum. Journal of Comparative Neurology. 530(2), 553–573.","mla":"Reyes‐Pinto, Rosana, et al. “Change in the Neurochemical Signature and Morphological Development of the Parvocellular Isthmic Projection to the Avian Tectum.” <i>Journal of Comparative Neurology</i>, vol. 530, no. 2, Wiley, 2022, pp. 553–73, doi:<a href=\"https://doi.org/10.1002/cne.25229\">10.1002/cne.25229</a>.","short":"R. Reyes‐Pinto, J.L. Ferrán, T.A. Vega Zuniga, C. González‐Cabrera, H. Luksch, J. Mpodozis, L. Puelles, G.J. Marín, Journal of Comparative Neurology 530 (2022) 553–573."},"publication_identifier":{"eissn":["1096-9861"],"issn":["0021-9967"]},"author":[{"full_name":"Reyes‐Pinto, Rosana","first_name":"Rosana","last_name":"Reyes‐Pinto"},{"first_name":"José L.","last_name":"Ferrán","full_name":"Ferrán, José L."},{"id":"2E7C4E78-F248-11E8-B48F-1D18A9856A87","full_name":"Vega Zuniga, Tomas A","last_name":"Vega Zuniga","first_name":"Tomas A"},{"full_name":"González‐Cabrera, Cristian","last_name":"González‐Cabrera","first_name":"Cristian"},{"full_name":"Luksch, Harald","first_name":"Harald","last_name":"Luksch"},{"full_name":"Mpodozis, Jorge","first_name":"Jorge","last_name":"Mpodozis"},{"last_name":"Puelles","first_name":"Luis","full_name":"Puelles, Luis"},{"full_name":"Marín, Gonzalo J.","last_name":"Marín","first_name":"Gonzalo J."}],"date_published":"2022-02-01T00:00:00Z","article_processing_charge":"No","date_updated":"2023-08-11T10:58:17Z","doi":"10.1002/cne.25229","scopus_import":"1","quality_controlled":"1","intvolume":"       530","publication_status":"published","pmid":1,"day":"01","month":"02","isi":1,"language":[{"iso":"eng"}]},{"type":"journal_article","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","page":"709-764","volume":105,"year":"2022","has_accepted_license":"1","_id":"9977","article_type":"original","external_id":{"arxiv":["1811.05376"],"isi":["000755205700001"]},"issue":"2","acknowledgement":"We warmly thank S. Gukov for valuable discussions on the GPPV invariant ̂Z𝑎(𝑀3; 𝑞). The first\r\nauthor was supported in part by the center of excellence grant ‘Center for Quantum Geometry\r\nof Moduli Spaces’ from the Danish National Research Foundation (DNRF95) and by the ERCSynergy\r\ngrant ‘ReNewQuantum’. The second author received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Skłodowska-Curie grant agreement no. 754411.","status":"public","oa":1,"publication_identifier":{"eissn":["1469-7750"]},"citation":{"apa":"Mistegaard, W., &#38; Andersen, J. E. (2022). Resurgence analysis of quantum invariants of Seifert fibered homology spheres. <i>Journal of the London Mathematical Society</i>. Wiley. <a href=\"https://doi.org/10.1112/jlms.12506\">https://doi.org/10.1112/jlms.12506</a>","ieee":"W. Mistegaard and J. E. Andersen, “Resurgence analysis of quantum invariants of Seifert fibered homology spheres,” <i>Journal of the London Mathematical Society</i>, vol. 105, no. 2. Wiley, pp. 709–764, 2022.","chicago":"Mistegaard, William, and Jørgen Ellegaard Andersen. “Resurgence Analysis of Quantum Invariants of Seifert Fibered Homology Spheres.” <i>Journal of the London Mathematical Society</i>. Wiley, 2022. <a href=\"https://doi.org/10.1112/jlms.12506\">https://doi.org/10.1112/jlms.12506</a>.","short":"W. Mistegaard, J.E. Andersen, Journal of the London Mathematical Society 105 (2022) 709–764.","mla":"Mistegaard, William, and Jørgen Ellegaard Andersen. “Resurgence Analysis of Quantum Invariants of Seifert Fibered Homology Spheres.” <i>Journal of the London Mathematical Society</i>, vol. 105, no. 2, Wiley, 2022, pp. 709–64, doi:<a href=\"https://doi.org/10.1112/jlms.12506\">10.1112/jlms.12506</a>.","ista":"Mistegaard W, Andersen JE. 2022. Resurgence analysis of quantum invariants of Seifert fibered homology spheres. Journal of the London Mathematical Society. 105(2), 709–764.","ama":"Mistegaard W, Andersen JE. Resurgence analysis of quantum invariants of Seifert fibered homology spheres. <i>Journal of the London Mathematical Society</i>. 2022;105(2):709-764. doi:<a href=\"https://doi.org/10.1112/jlms.12506\">10.1112/jlms.12506</a>"},"publisher":"Wiley","department":[{"_id":"TaHa"}],"title":"Resurgence analysis of quantum invariants of Seifert fibered homology spheres","publication":"Journal of the London Mathematical Society","oa_version":"Published Version","ec_funded":1,"date_created":"2021-08-31T12:51:40Z","arxiv":1,"abstract":[{"lang":"eng","text":"For a Seifert fibered homology sphere X we show that the q-series invariant Zˆ0(X; q) introduced by Gukov-Pei-Putrov-Vafa, is a resummation of the Ohtsuki series Z0(X). We show that for every even k ∈ N there exists a full asymptotic expansion of Zˆ0(X; q) for q tending to e 2πi/k, and in particular that the limit Zˆ0(X; e 2πi/k) exists and is equal to the\r\nWRT quantum invariant τk(X). We show that the poles of the Borel transform of Z0(X) coincide with the classical complex Chern-Simons values, which we further show classifies the corresponding components of the moduli space of flat SL(2, C)-connections."}],"publication_status":"published","file":[{"content_type":"application/pdf","success":1,"date_created":"2022-03-24T11:42:25Z","relation":"main_file","access_level":"open_access","creator":"dernst","file_size":649130,"file_name":"2022_JourLondonMathSoc_Andersen.pdf","checksum":"9c72327d39f34f1a6eaa98fa4b8493f2","file_id":"10917","date_updated":"2022-03-24T11:42:25Z"}],"intvolume":"       105","day":"01","ddc":["510"],"project":[{"name":"ISTplus - Postdoctoral Fellowships","grant_number":"754411","_id":"260C2330-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"}],"language":[{"iso":"eng"}],"month":"03","isi":1,"file_date_updated":"2022-03-24T11:42:25Z","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"doi":"10.1112/jlms.12506","date_updated":"2023-08-02T06:53:51Z","article_processing_charge":"Yes (via OA deal)","author":[{"full_name":"Mistegaard, William","id":"41B03CD0-62AE-11E9-84EF-0718E6697425","first_name":"William","last_name":"Mistegaard"},{"full_name":"Andersen, Jørgen Ellegaard","last_name":"Andersen","first_name":"Jørgen Ellegaard"}],"date_published":"2022-03-01T00:00:00Z","quality_controlled":"1","scopus_import":"1"},{"publication_identifier":{"eissn":["2374-3468"],"issn":["2159-5399"],"isbn":["978-1-57735-866-4"]},"citation":{"apa":"Henzinger, T. A., Lechner, M., &#38; Zikelic, D. (2021). Scalable verification of quantized neural networks. In <i>Proceedings of the AAAI Conference on Artificial Intelligence</i> (Vol. 35, pp. 3787–3795). Virtual: AAAI Press.","chicago":"Henzinger, Thomas A, Mathias Lechner, and Dorde Zikelic. “Scalable Verification of Quantized Neural Networks.” In <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, 35:3787–95. AAAI Press, 2021.","ieee":"T. A. Henzinger, M. Lechner, and D. Zikelic, “Scalable verification of quantized neural networks,” in <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, Virtual, 2021, vol. 35, no. 5A, pp. 3787–3795.","short":"T.A. Henzinger, M. Lechner, D. Zikelic, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 3787–3795.","ista":"Henzinger TA, Lechner M, Zikelic D. 2021. Scalable verification of quantized neural networks. Proceedings of the AAAI Conference on Artificial Intelligence. AAAI: Association for the Advancement of Artificial Intelligence, Technical Tracks, vol. 35, 3787–3795.","mla":"Henzinger, Thomas A., et al. “Scalable Verification of Quantized Neural Networks.” <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, vol. 35, no. 5A, AAAI Press, 2021, pp. 3787–95.","ama":"Henzinger TA, Lechner M, Zikelic D. Scalable verification of quantized neural networks. In: <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>. Vol 35. AAAI Press; 2021:3787-3795."},"issue":"5A","external_id":{"arxiv":["2012.08185"]},"acknowledgement":"This research was supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein\r\nAward), ERC CoG 863818 (FoRM-SMArt), and the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 665385.\r\n","status":"public","oa":1,"year":"2021","has_accepted_license":"1","_id":"10665","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"conference","volume":35,"page":"3787-3795","abstract":[{"text":"Formal verification of neural networks is an active topic of research, and recent advances have significantly increased the size of the networks that verification tools can handle. However, most methods are designed for verification of an idealized model of the actual network which works over real arithmetic and ignores rounding imprecisions. This idealization is in stark contrast to network quantization, which is a technique that trades numerical precision for computational efficiency and is, therefore, often applied in practice. Neglecting rounding errors of such low-bit quantized neural networks has been shown to lead to wrong conclusions about the network’s correctness. Thus, the desired approach for verifying quantized neural networks would be one that takes these rounding errors\r\ninto account. In this paper, we show that verifying the bitexact implementation of quantized neural networks with bitvector specifications is PSPACE-hard, even though verifying idealized real-valued networks and satisfiability of bit-vector specifications alone are each in NP. Furthermore, we explore several practical heuristics toward closing the complexity gap between idealized and bit-exact verification. In particular, we propose three techniques for making SMT-based verification of quantized neural networks more scalable. Our experiments demonstrate that our proposed methods allow a speedup of up to three orders of magnitude over existing approaches.","lang":"eng"}],"arxiv":1,"date_created":"2022-01-25T15:15:02Z","ec_funded":1,"oa_version":"Published Version","publisher":"AAAI Press","publication":"Proceedings of the AAAI Conference on Artificial Intelligence","department":[{"_id":"GradSch"},{"_id":"ToHe"}],"title":"Scalable verification of quantized neural networks","month":"05","language":[{"iso":"eng"}],"project":[{"name":"International IST Doctoral Program","grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"},{"call_identifier":"FWF","name":"The Wittgenstein Prize","grant_number":"Z211","_id":"25F42A32-B435-11E9-9278-68D0E5697425"},{"call_identifier":"H2020","_id":"0599E47C-7A3F-11EA-A408-12923DDC885E","name":"Formal Methods for Stochastic Models: Algorithms and Applications","grant_number":"863818"}],"ddc":["000"],"day":"28","file":[{"file_id":"10684","date_updated":"2022-01-26T07:41:16Z","checksum":"2bc8155b2526a70fba5b7301bc89dbd1","file_name":"16496-Article Text-19990-1-2-20210518 (1).pdf","file_size":137235,"access_level":"open_access","creator":"mlechner","relation":"main_file","date_created":"2022-01-26T07:41:16Z","success":1,"content_type":"application/pdf"}],"publication_status":"published","main_file_link":[{"url":"https://ojs.aaai.org/index.php/AAAI/article/view/16496","open_access":"1"}],"intvolume":"        35","quality_controlled":"1","scopus_import":"1","article_processing_charge":"No","date_updated":"2025-07-14T09:10:11Z","alternative_title":["Technical Tracks"],"related_material":{"record":[{"id":"11362","status":"public","relation":"dissertation_contains"}]},"author":[{"full_name":"Henzinger, Thomas A","id":"40876CD8-F248-11E8-B48F-1D18A9856A87","first_name":"Thomas A","last_name":"Henzinger","orcid":"0000-0002-2985-7724"},{"id":"3DC22916-F248-11E8-B48F-1D18A9856A87","full_name":"Lechner, Mathias","last_name":"Lechner","first_name":"Mathias"},{"first_name":"Dorde","last_name":"Zikelic","orcid":"0000-0002-4681-1699","full_name":"Zikelic, Dorde","id":"294AA7A6-F248-11E8-B48F-1D18A9856A87"}],"date_published":"2021-05-28T00:00:00Z","conference":{"location":"Virtual","start_date":"2021-02-02","name":"AAAI: Association for the Advancement of Artificial Intelligence","end_date":"2021-02-09"},"file_date_updated":"2022-01-26T07:41:16Z"},{"isi":1,"language":[{"iso":"eng"}],"project":[{"name":"The Wittgenstein Prize","grant_number":"Z211","_id":"25F42A32-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"}],"ddc":["000"],"main_file_link":[{"url":"https://arxiv.org/abs/2103.08187","open_access":"1"}],"publication_status":"published","license":"https://creativecommons.org/licenses/by-nc-nd/3.0/","quality_controlled":"1","author":[{"id":"3DC22916-F248-11E8-B48F-1D18A9856A87","full_name":"Lechner, Mathias","last_name":"Lechner","first_name":"Mathias"},{"full_name":"Hasani, Ramin","first_name":"Ramin","last_name":"Hasani"},{"first_name":"Radu","last_name":"Grosu","full_name":"Grosu, Radu"},{"last_name":"Rus","first_name":"Daniela","full_name":"Rus, Daniela"},{"first_name":"Thomas A","orcid":"0000-0002-2985-7724","last_name":"Henzinger","full_name":"Henzinger, Thomas A","id":"40876CD8-F248-11E8-B48F-1D18A9856A87"}],"date_published":"2021-01-01T00:00:00Z","article_processing_charge":"No","date_updated":"2023-08-17T06:58:38Z","doi":"10.1109/ICRA48506.2021.9561036","related_material":{"record":[{"id":"11362","relation":"dissertation_contains","status":"public"}]},"conference":{"start_date":"2021-05-30","location":"Xi'an, China","end_date":"2021-06-05","name":"ICRA: International Conference on Robotics and Automation"},"tmp":{"name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode","image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (3.0)"},"citation":{"ieee":"M. Lechner, R. Hasani, R. Grosu, D. Rus, and T. A. Henzinger, “Adversarial training is not ready for robot learning,” in <i>2021 IEEE International Conference on Robotics and Automation</i>, Xi’an, China, 2021, pp. 4140–4147.","chicago":"Lechner, Mathias, Ramin Hasani, Radu Grosu, Daniela Rus, and Thomas A Henzinger. “Adversarial Training Is Not Ready for Robot Learning.” In <i>2021 IEEE International Conference on Robotics and Automation</i>, 4140–47. ICRA, 2021. <a href=\"https://doi.org/10.1109/ICRA48506.2021.9561036\">https://doi.org/10.1109/ICRA48506.2021.9561036</a>.","apa":"Lechner, M., Hasani, R., Grosu, R., Rus, D., &#38; Henzinger, T. A. (2021). Adversarial training is not ready for robot learning. In <i>2021 IEEE International Conference on Robotics and Automation</i> (pp. 4140–4147). Xi’an, China. <a href=\"https://doi.org/10.1109/ICRA48506.2021.9561036\">https://doi.org/10.1109/ICRA48506.2021.9561036</a>","ama":"Lechner M, Hasani R, Grosu R, Rus D, Henzinger TA. Adversarial training is not ready for robot learning. In: <i>2021 IEEE International Conference on Robotics and Automation</i>. ICRA. ; 2021:4140-4147. doi:<a href=\"https://doi.org/10.1109/ICRA48506.2021.9561036\">10.1109/ICRA48506.2021.9561036</a>","mla":"Lechner, Mathias, et al. “Adversarial Training Is Not Ready for Robot Learning.” <i>2021 IEEE International Conference on Robotics and Automation</i>, 2021, pp. 4140–47, doi:<a href=\"https://doi.org/10.1109/ICRA48506.2021.9561036\">10.1109/ICRA48506.2021.9561036</a>.","ista":"Lechner M, Hasani R, Grosu R, Rus D, Henzinger TA. 2021. Adversarial training is not ready for robot learning. 2021 IEEE International Conference on Robotics and Automation. ICRA: International Conference on Robotics and AutomationICRA, 4140–4147.","short":"M. Lechner, R. Hasani, R. Grosu, D. Rus, T.A. Henzinger, in:, 2021 IEEE International Conference on Robotics and Automation, 2021, pp. 4140–4147."},"publication_identifier":{"isbn":["978-1-7281-9078-5"],"issn":["1050-4729"],"eissn":["2577-087X"],"eisbn":["978-1-7281-9077-8"]},"status":"public","oa":1,"acknowledgement":"M.L. and T.A.H. are supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). R.H. and D.R. are supported by Boeing and R.G. by Horizon-2020 ECSEL Project grant no. 783163 (iDev40).","external_id":{"isi":["000765738803040"],"arxiv":["2103.08187"]},"_id":"10666","year":"2021","has_accepted_license":"1","page":"4140-4147","user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","type":"conference","abstract":[{"text":"Adversarial training is an effective method to train deep learning models that are resilient to norm-bounded perturbations, with the cost of nominal performance drop. While adversarial training appears to enhance the robustness and safety of a deep model deployed in open-world decision-critical applications, counterintuitively, it induces undesired behaviors in robot learning settings. In this paper, we show theoretically and experimentally that neural controllers obtained via adversarial training are subjected to three types of defects, namely transient, systematic, and conditional errors. We first generalize adversarial training to a safety-domain optimization scheme allowing for more generic specifications. We then prove that such a learning process tends to cause certain error profiles. We support our theoretical results by a thorough experimental safety analysis in a robot-learning task. Our results suggest that adversarial training is not yet ready for robot learning.","lang":"eng"}],"series_title":"ICRA","arxiv":1,"date_created":"2022-01-25T15:44:54Z","oa_version":"None","publication":"2021 IEEE International Conference on Robotics and Automation","department":[{"_id":"GradSch"},{"_id":"ToHe"}],"title":"Adversarial training is not ready for robot learning"},{"language":[{"iso":"eng"}],"project":[{"call_identifier":"H2020","grant_number":"665385","name":"International IST Doctoral Program","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"},{"name":"Formal Methods for Stochastic Models: Algorithms and Applications","grant_number":"863818","_id":"0599E47C-7A3F-11EA-A408-12923DDC885E","call_identifier":"H2020"},{"grant_number":"Z211","name":"The Wittgenstein Prize","_id":"25F42A32-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"}],"month":"12","day":"01","ddc":["000"],"publication_status":"published","file":[{"file_size":452492,"file_name":"infinite_time_horizon_safety_o.pdf","checksum":"0fc0f852525c10dda9cc9ffea07fb4e4","file_id":"10682","date_updated":"2022-01-26T07:39:59Z","content_type":"application/pdf","success":1,"date_created":"2022-01-26T07:39:59Z","relation":"main_file","creator":"mlechner","access_level":"open_access"}],"main_file_link":[{"url":"https://proceedings.neurips.cc/paper/2021/hash/544defa9fddff50c53b71c43e0da72be-Abstract.html","open_access":"1"}],"quality_controlled":"1","alternative_title":[" Advances in Neural Information Processing Systems"],"doi":"10.48550/arXiv.2111.03165","related_material":{"record":[{"status":"public","relation":"dissertation_contains","id":"11362"}]},"date_updated":"2025-07-14T09:10:12Z","article_processing_charge":"No","date_published":"2021-12-01T00:00:00Z","author":[{"first_name":"Mathias","last_name":"Lechner","full_name":"Lechner, Mathias","id":"3DC22916-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Ðorđe","last_name":"Žikelić","full_name":"Žikelić, Ðorđe"},{"first_name":"Krishnendu","orcid":"0000-0002-4561-241X","last_name":"Chatterjee","full_name":"Chatterjee, Krishnendu","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87"},{"orcid":"0000-0002-2985-7724","last_name":"Henzinger","first_name":"Thomas A","id":"40876CD8-F248-11E8-B48F-1D18A9856A87","full_name":"Henzinger, Thomas A"}],"tmp":{"name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode","image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (3.0)"},"conference":{"location":"Virtual","start_date":"2021-12-06","name":"NeurIPS: Neural Information Processing Systems","end_date":"2021-12-10"},"file_date_updated":"2022-01-26T07:39:59Z","citation":{"ama":"Lechner M, Žikelić Ð, Chatterjee K, Henzinger TA. Infinite time horizon safety of Bayesian neural networks. In: <i>35th Conference on Neural Information Processing Systems</i>. ; 2021. doi:<a href=\"https://doi.org/10.48550/arXiv.2111.03165\">10.48550/arXiv.2111.03165</a>","mla":"Lechner, Mathias, et al. “Infinite Time Horizon Safety of Bayesian Neural Networks.” <i>35th Conference on Neural Information Processing Systems</i>, 2021, doi:<a href=\"https://doi.org/10.48550/arXiv.2111.03165\">10.48550/arXiv.2111.03165</a>.","ista":"Lechner M, Žikelić Ð, Chatterjee K, Henzinger TA. 2021. Infinite time horizon safety of Bayesian neural networks. 35th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems,  Advances in Neural Information Processing Systems, .","short":"M. Lechner, Ð. Žikelić, K. Chatterjee, T.A. Henzinger, in:, 35th Conference on Neural Information Processing Systems, 2021.","ieee":"M. Lechner, Ð. Žikelić, K. Chatterjee, and T. A. Henzinger, “Infinite time horizon safety of Bayesian neural networks,” in <i>35th Conference on Neural Information Processing Systems</i>, Virtual, 2021.","chicago":"Lechner, Mathias, Ðorđe Žikelić, Krishnendu Chatterjee, and Thomas A Henzinger. “Infinite Time Horizon Safety of Bayesian Neural Networks.” In <i>35th Conference on Neural Information Processing Systems</i>, 2021. <a href=\"https://doi.org/10.48550/arXiv.2111.03165\">https://doi.org/10.48550/arXiv.2111.03165</a>.","apa":"Lechner, M., Žikelić, Ð., Chatterjee, K., &#38; Henzinger, T. A. (2021). Infinite time horizon safety of Bayesian neural networks. In <i>35th Conference on Neural Information Processing Systems</i>. Virtual. <a href=\"https://doi.org/10.48550/arXiv.2111.03165\">https://doi.org/10.48550/arXiv.2111.03165</a>"},"external_id":{"arxiv":["2111.03165"]},"status":"public","acknowledgement":"This research was supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award), ERC CoG 863818 (FoRM-SMArt), and the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 665385.","oa":1,"year":"2021","has_accepted_license":"1","_id":"10667","type":"conference","user_id":"2EBD1598-F248-11E8-B48F-1D18A9856A87","abstract":[{"lang":"eng","text":"Bayesian neural networks (BNNs) place distributions over the weights of a neural network to model uncertainty in the data and the network's prediction. We consider the problem of verifying safety when running a Bayesian neural network policy in a feedback loop with infinite time horizon systems. Compared to the existing sampling-based approaches, which are inapplicable to the infinite time horizon setting, we train a separate deterministic neural network that serves as an infinite time horizon safety certificate. In particular, we show that the certificate network guarantees the safety of the system over a subset of the BNN weight posterior's support. Our method first computes a safe weight set and then alters the BNN's weight posterior to reject samples outside this set. Moreover, we show how to extend our approach to a safe-exploration reinforcement learning setting, in order to avoid unsafe trajectories during the training of the policy. We evaluate our approach on a series of reinforcement learning benchmarks, including non-Lyapunovian safety specifications."}],"arxiv":1,"oa_version":"Published Version","date_created":"2022-01-25T15:45:58Z","ec_funded":1,"title":"Infinite time horizon safety of Bayesian neural networks","department":[{"_id":"GradSch"},{"_id":"ToHe"},{"_id":"KrCh"}],"publication":"35th Conference on Neural Information Processing Systems"},{"abstract":[{"text":"Robustness to variations in lighting conditions is a key objective for any deep vision system. To this end, our paper extends the receptive field of convolutional neural networks with two residual components, ubiquitous in the visual processing system of vertebrates: On-center and off-center pathways, with an excitatory center and inhibitory surround; OOCS for short. The On-center pathway is excited by the presence of a light stimulus in its center, but not in its surround, whereas the Off-center pathway is excited by the absence of a light stimulus in its center, but not in its surround. We design OOCS pathways via a difference of Gaussians, with their variance computed analytically from the size of the receptive fields. OOCS pathways complement each other in their response to light stimuli, ensuring this way a strong edge-detection capability, and as a result an accurate and robust inference under challenging lighting conditions. We provide extensive empirical evidence showing that networks supplied with OOCS pathways gain accuracy and illumination-robustness from the novel edge representation, compared to other baselines.","lang":"eng"}],"publisher":"ML Research Press","publication":"Proceedings of the 38th International Conference on Machine Learning","department":[{"_id":"GradSch"},{"_id":"ToHe"}],"title":"On-off center-surround receptive fields for accurate and robust image classification","date_created":"2022-01-25T15:46:33Z","oa_version":"Published Version","acknowledgement":"Z.B. is supported by the Doctoral College Resilient Embedded Systems, which is run jointly by the TU Wien’s Faculty of Informatics and the UAS Technikum Wien. R.G. is partially supported by the Horizon 2020 Era-Permed project Persorad, and ECSEL Project grant no. 783163 (iDev40). R.H and D.R were partially supported by Boeing and MIT. M.L. is supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award).","status":"public","oa":1,"publication_identifier":{"issn":["2640-3498"]},"citation":{"ieee":"Z. Babaiee, R. Hasani, M. Lechner, D. Rus, and R. Grosu, “On-off center-surround receptive fields for accurate and robust image classification,” in <i>Proceedings of the 38th International Conference on Machine Learning</i>, Virtual, 2021, vol. 139, pp. 478–489.","chicago":"Babaiee, Zahra, Ramin Hasani, Mathias Lechner, Daniela Rus, and Radu Grosu. “On-off Center-Surround Receptive Fields for Accurate and Robust Image Classification.” In <i>Proceedings of the 38th International Conference on Machine Learning</i>, 139:478–89. ML Research Press, 2021.","apa":"Babaiee, Z., Hasani, R., Lechner, M., Rus, D., &#38; Grosu, R. (2021). On-off center-surround receptive fields for accurate and robust image classification. In <i>Proceedings of the 38th International Conference on Machine Learning</i> (Vol. 139, pp. 478–489). Virtual: ML Research Press.","ama":"Babaiee Z, Hasani R, Lechner M, Rus D, Grosu R. On-off center-surround receptive fields for accurate and robust image classification. In: <i>Proceedings of the 38th International Conference on Machine Learning</i>. Vol 139. ML Research Press; 2021:478-489.","ista":"Babaiee Z, Hasani R, Lechner M, Rus D, Grosu R. 2021. On-off center-surround receptive fields for accurate and robust image classification. Proceedings of the 38th International Conference on Machine Learning. ML: Machine Learning, PMLR, vol. 139, 478–489.","short":"Z. Babaiee, R. Hasani, M. Lechner, D. Rus, R. Grosu, in:, Proceedings of the 38th International Conference on Machine Learning, ML Research Press, 2021, pp. 478–489.","mla":"Babaiee, Zahra, et al. “On-off Center-Surround Receptive Fields for Accurate and Robust Image Classification.” <i>Proceedings of the 38th International Conference on Machine Learning</i>, vol. 139, ML Research Press, 2021, pp. 478–89."},"user_id":"2EBD1598-F248-11E8-B48F-1D18A9856A87","type":"conference","volume":139,"page":"478-489","year":"2021","has_accepted_license":"1","_id":"10668","article_processing_charge":"No","alternative_title":["PMLR"],"date_updated":"2022-05-04T15:02:27Z","author":[{"full_name":"Babaiee, Zahra","first_name":"Zahra","last_name":"Babaiee"},{"full_name":"Hasani, Ramin","last_name":"Hasani","first_name":"Ramin"},{"id":"3DC22916-F248-11E8-B48F-1D18A9856A87","full_name":"Lechner, Mathias","last_name":"Lechner","first_name":"Mathias"},{"last_name":"Rus","first_name":"Daniela","full_name":"Rus, Daniela"},{"full_name":"Grosu, Radu","first_name":"Radu","last_name":"Grosu"}],"date_published":"2021-07-01T00:00:00Z","quality_controlled":"1","file_date_updated":"2022-01-26T07:38:32Z","conference":{"end_date":"2021-07-24","name":"ML: Machine Learning","start_date":"2021-07-18","location":"Virtual"},"tmp":{"name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode","image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (3.0)"},"ddc":["000"],"day":"01","month":"07","project":[{"call_identifier":"FWF","_id":"25F42A32-B435-11E9-9278-68D0E5697425","name":"The Wittgenstein Prize","grant_number":"Z211"}],"language":[{"iso":"eng"}],"file":[{"access_level":"open_access","creator":"mlechner","relation":"main_file","success":1,"date_created":"2022-01-26T07:38:32Z","content_type":"application/pdf","file_id":"10681","date_updated":"2022-01-26T07:38:32Z","file_name":"babaiee21a.pdf","checksum":"d30eae62561bb517d9f978437d7677db","file_size":4246561}],"publication_status":"published","main_file_link":[{"url":"https://proceedings.mlr.press/v139/babaiee21a","open_access":"1"}],"intvolume":"       139"},{"oa":1,"acknowledgement":"The authors would like to thank the reviewers for their insightful comments. RH and RG were partially supported by\r\nHorizon-2020 ECSEL Project grant No. 783163 (iDev40). RH was partially supported by Boeing. ML was supported\r\nin part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). SG was funded by FWF\r\nproject W1255-N23. JC was partially supported by NAWA Polish Returns grant PPN/PPO/2018/1/00029. SS was supported by NSF awards DCL-2040599, CCF-1918225, and CPS-1446832.\r\n","status":"public","issue":"13","external_id":{"arxiv":["2012.08863"]},"citation":{"apa":"Grunbacher, S., Hasani, R., Lechner, M., Cyranka, J., Smolka, S. A., &#38; Grosu, R. (2021). On the verification of neural ODEs with stochastic guarantees. In <i>Proceedings of the AAAI Conference on Artificial Intelligence</i> (Vol. 35, pp. 11525–11535). Virtual: AAAI Press.","ieee":"S. Grunbacher, R. Hasani, M. Lechner, J. Cyranka, S. A. Smolka, and R. Grosu, “On the verification of neural ODEs with stochastic guarantees,” in <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, Virtual, 2021, vol. 35, no. 13, pp. 11525–11535.","chicago":"Grunbacher, Sophie, Ramin Hasani, Mathias Lechner, Jacek Cyranka, Scott A Smolka, and Radu Grosu. “On the Verification of Neural ODEs with Stochastic Guarantees.” In <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, 35:11525–35. AAAI Press, 2021.","short":"S. Grunbacher, R. Hasani, M. Lechner, J. Cyranka, S.A. Smolka, R. Grosu, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 11525–11535.","mla":"Grunbacher, Sophie, et al. “On the Verification of Neural ODEs with Stochastic Guarantees.” <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, vol. 35, no. 13, AAAI Press, 2021, pp. 11525–35.","ista":"Grunbacher S, Hasani R, Lechner M, Cyranka J, Smolka SA, Grosu R. 2021. On the verification of neural ODEs with stochastic guarantees. Proceedings of the AAAI Conference on Artificial Intelligence. AAAI: Association for the Advancement of Artificial Intelligence, Technical Tracks, vol. 35, 11525–11535.","ama":"Grunbacher S, Hasani R, Lechner M, Cyranka J, Smolka SA, Grosu R. On the verification of neural ODEs with stochastic guarantees. In: <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>. Vol 35. AAAI Press; 2021:11525-11535."},"publication_identifier":{"issn":["2159-5399"],"eissn":["2374-3468"],"isbn":["978-1-57735-866-4"]},"volume":35,"page":"11525-11535","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","type":"conference","_id":"10669","has_accepted_license":"1","year":"2021","arxiv":1,"abstract":[{"text":"We show that Neural ODEs, an emerging class of timecontinuous neural networks, can be verified by solving a set of global-optimization problems. For this purpose, we introduce Stochastic Lagrangian Reachability (SLR), an\r\nabstraction-based technique for constructing a tight Reachtube (an over-approximation of the set of reachable states\r\nover a given time-horizon), and provide stochastic guarantees in the form of confidence intervals for the Reachtube bounds. SLR inherently avoids the infamous wrapping effect (accumulation of over-approximation errors) by performing local optimization steps to expand safe regions instead of repeatedly forward-propagating them as is done by deterministic reachability methods. To enable fast local optimizations, we introduce a novel forward-mode adjoint sensitivity method to compute gradients without the need for backpropagation. Finally, we establish asymptotic and non-asymptotic convergence rates for SLR.","lang":"eng"}],"publication":"Proceedings of the AAAI Conference on Artificial Intelligence","department":[{"_id":"GradSch"},{"_id":"ToHe"}],"title":"On the verification of neural ODEs with stochastic guarantees","publisher":"AAAI Press","date_created":"2022-01-25T15:47:20Z","oa_version":"Published Version","ddc":["000"],"day":"28","month":"05","language":[{"iso":"eng"}],"project":[{"call_identifier":"FWF","grant_number":"Z211","name":"The Wittgenstein Prize","_id":"25F42A32-B435-11E9-9278-68D0E5697425"}],"main_file_link":[{"open_access":"1","url":"https://ojs.aaai.org/index.php/AAAI/article/view/17372"}],"intvolume":"        35","file":[{"file_id":"10680","date_updated":"2022-01-26T07:38:08Z","file_size":286906,"file_name":"17372-Article Text-20866-1-2-20210518.pdf","checksum":"468d07041e282a1d46ffdae92f709630","relation":"main_file","creator":"mlechner","access_level":"open_access","content_type":"application/pdf","success":1,"date_created":"2022-01-26T07:38:08Z"}],"publication_status":"published","date_published":"2021-05-28T00:00:00Z","author":[{"last_name":"Grunbacher","first_name":"Sophie","full_name":"Grunbacher, Sophie"},{"first_name":"Ramin","last_name":"Hasani","full_name":"Hasani, Ramin"},{"last_name":"Lechner","first_name":"Mathias","id":"3DC22916-F248-11E8-B48F-1D18A9856A87","full_name":"Lechner, Mathias"},{"first_name":"Jacek","last_name":"Cyranka","full_name":"Cyranka, Jacek"},{"full_name":"Smolka, Scott A","first_name":"Scott A","last_name":"Smolka"},{"last_name":"Grosu","first_name":"Radu","full_name":"Grosu, Radu"}],"article_processing_charge":"No","date_updated":"2022-05-24T06:33:14Z","alternative_title":["Technical Tracks"],"quality_controlled":"1","file_date_updated":"2022-01-26T07:38:08Z","conference":{"location":"Virtual","start_date":"2021-02-02","name":"AAAI: Association for the Advancement of Artificial Intelligence","end_date":"2021-02-09"}},{"day":"01","ddc":["000"],"language":[{"iso":"eng"}],"project":[{"call_identifier":"FWF","grant_number":"Z211","name":"The Wittgenstein Prize","_id":"25F42A32-B435-11E9-9278-68D0E5697425"}],"month":"12","publication_status":"published","file":[{"file_id":"10679","date_updated":"2022-01-26T07:37:24Z","file_name":"NeurIPS-2021-causal-navigation-by-continuous-time-neural-networks-Paper.pdf","checksum":"be81f0ade174a8c9b2d4fe09590b2021","file_size":6841228,"creator":"mlechner","access_level":"open_access","relation":"main_file","success":1,"date_created":"2022-01-26T07:37:24Z","content_type":"application/pdf"}],"main_file_link":[{"url":"https://proceedings.neurips.cc/paper/2021/hash/67ba02d73c54f0b83c05507b7fb7267f-Abstract.html","open_access":"1"}],"alternative_title":[" Advances in Neural Information Processing Systems"],"date_updated":"2022-01-26T14:33:31Z","article_processing_charge":"No","date_published":"2021-12-01T00:00:00Z","author":[{"full_name":"Vorbach, Charles J","last_name":"Vorbach","first_name":"Charles J"},{"first_name":"Ramin","last_name":"Hasani","full_name":"Hasani, Ramin"},{"full_name":"Amini, Alexander","last_name":"Amini","first_name":"Alexander"},{"last_name":"Lechner","first_name":"Mathias","id":"3DC22916-F248-11E8-B48F-1D18A9856A87","full_name":"Lechner, Mathias"},{"last_name":"Rus","first_name":"Daniela","full_name":"Rus, Daniela"}],"quality_controlled":"1","file_date_updated":"2022-01-26T07:37:24Z","tmp":{"name":"Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0)","legal_code_url":"https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode","image":"/images/cc_by_nc_nd.png","short":"CC BY-NC-ND (3.0)"},"conference":{"end_date":"2021-12-10","name":"NeurIPS: Neural Information Processing Systems","start_date":"2021-12-06","location":"Virtual"},"external_id":{"arxiv":["2106.08314"]},"oa":1,"status":"public","acknowledgement":"C.V., R.H. A.A. and D.R. are partially supported by Boeing and MIT. A.A. is supported by the National Science Foundation (NSF) Graduate Research Fellowship Program. M.L. is supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). Research was sponsored by the United States Air Force Research Laboratory and the United States Air Force Artificial Intelligence Accelerator and was accomplished under Cooperative Agreement Number FA8750-19-2-1000. The views and conclusions contained in this document are those of the authors\r\nand should not be interpreted as representing the official policies, either expressed or implied, of the United States Air Force or the U.S. Government. The U.S. Government is authorized to reproduce and distribute reprints for Government purposes notwithstanding any copyright notation herein.\r\n","citation":{"ama":"Vorbach CJ, Hasani R, Amini A, Lechner M, Rus D. Causal navigation by continuous-time neural networks. In: <i>35th Conference on Neural Information Processing Systems</i>. ; 2021.","ista":"Vorbach CJ, Hasani R, Amini A, Lechner M, Rus D. 2021. Causal navigation by continuous-time neural networks. 35th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems,  Advances in Neural Information Processing Systems, .","mla":"Vorbach, Charles J., et al. “Causal Navigation by Continuous-Time Neural Networks.” <i>35th Conference on Neural Information Processing Systems</i>, 2021.","short":"C.J. Vorbach, R. Hasani, A. Amini, M. Lechner, D. Rus, in:, 35th Conference on Neural Information Processing Systems, 2021.","chicago":"Vorbach, Charles J, Ramin Hasani, Alexander Amini, Mathias Lechner, and Daniela Rus. “Causal Navigation by Continuous-Time Neural Networks.” In <i>35th Conference on Neural Information Processing Systems</i>, 2021.","ieee":"C. J. Vorbach, R. Hasani, A. Amini, M. Lechner, and D. Rus, “Causal navigation by continuous-time neural networks,” in <i>35th Conference on Neural Information Processing Systems</i>, Virtual, 2021.","apa":"Vorbach, C. J., Hasani, R., Amini, A., Lechner, M., &#38; Rus, D. (2021). Causal navigation by continuous-time neural networks. In <i>35th Conference on Neural Information Processing Systems</i>. Virtual."},"type":"conference","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","has_accepted_license":"1","year":"2021","_id":"10670","arxiv":1,"abstract":[{"text":"Imitation learning enables high-fidelity, vision-based learning of policies within rich, photorealistic environments. However, such techniques often rely on traditional discrete-time neural models and face difficulties in generalizing to domain shifts by failing to account for the causal relationships between the agent and the environment. In this paper, we propose a theoretical and experimental framework for learning causal representations using continuous-time neural networks, specifically over their discrete-time counterparts. We evaluate our method in the context of visual-control learning of drones over a series of complex tasks, ranging from short- and long-term navigation, to chasing static and dynamic objects through photorealistic environments. Our results demonstrate that causal continuous-time\r\ndeep models can perform robust navigation tasks, where advanced recurrent models fail. These models learn complex causal control representations directly from raw visual inputs and scale to solve a variety of tasks using imitation learning.","lang":"eng"}],"title":"Causal navigation by continuous-time neural networks","department":[{"_id":"GradSch"},{"_id":"ToHe"}],"publication":"35th Conference on Neural Information Processing Systems","oa_version":"Published Version","date_created":"2022-01-25T15:47:50Z"},{"page":"7657-7666","volume":35,"type":"conference","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"10671","year":"2021","has_accepted_license":"1","acknowledgement":"R.H. and D.R. are partially supported by Boeing. R.H. and R.G. were partially supported by the Horizon-2020 ECSEL\r\nProject grant No. 783163 (iDev40). M.L. was supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). A.A. is supported by the National Science Foundation (NSF) Graduate Research Fellowship Program. This research work is partially drawn from the PhD dissertation of R.H.","status":"public","oa":1,"external_id":{"arxiv":["2006.04439"]},"issue":"9","citation":{"chicago":"Hasani, Ramin, Mathias Lechner, Alexander Amini, Daniela Rus, and Radu Grosu. “Liquid Time-Constant Networks.” In <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, 35:7657–66. AAAI Press, 2021.","ieee":"R. Hasani, M. Lechner, A. Amini, D. Rus, and R. Grosu, “Liquid time-constant networks,” in <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, Virtual, 2021, vol. 35, no. 9, pp. 7657–7666.","apa":"Hasani, R., Lechner, M., Amini, A., Rus, D., &#38; Grosu, R. (2021). Liquid time-constant networks. In <i>Proceedings of the AAAI Conference on Artificial Intelligence</i> (Vol. 35, pp. 7657–7666). Virtual: AAAI Press.","ama":"Hasani R, Lechner M, Amini A, Rus D, Grosu R. Liquid time-constant networks. In: <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>. Vol 35. AAAI Press; 2021:7657-7666.","short":"R. Hasani, M. Lechner, A. Amini, D. Rus, R. Grosu, in:, Proceedings of the AAAI Conference on Artificial Intelligence, AAAI Press, 2021, pp. 7657–7666.","ista":"Hasani R, Lechner M, Amini A, Rus D, Grosu R. 2021. Liquid time-constant networks. Proceedings of the AAAI Conference on Artificial Intelligence. AAAI: Association for the Advancement of Artificial Intelligence, Technical Tracks, vol. 35, 7657–7666.","mla":"Hasani, Ramin, et al. “Liquid Time-Constant Networks.” <i>Proceedings of the AAAI Conference on Artificial Intelligence</i>, vol. 35, no. 9, AAAI Press, 2021, pp. 7657–66."},"publication_identifier":{"issn":["2159-5399"],"eissn":["2374-3468"],"isbn":["978-1-57735-866-4"]},"department":[{"_id":"GradSch"},{"_id":"ToHe"}],"title":"Liquid time-constant networks","publication":"Proceedings of the AAAI Conference on Artificial Intelligence","publisher":"AAAI Press","oa_version":"Published Version","date_created":"2022-01-25T15:48:36Z","arxiv":1,"abstract":[{"text":"We introduce a new class of time-continuous recurrent neural network models. Instead of declaring a learning system’s dynamics by implicit nonlinearities, we construct networks of linear first-order dynamical systems modulated via nonlinear interlinked gates. The resulting models represent dynamical systems with varying (i.e., liquid) time-constants coupled to their hidden state, with outputs being computed by numerical differential equation solvers. These neural networks exhibit stable and bounded behavior, yield superior expressivity within the family of neural ordinary differential equations, and give rise to improved performance on time-series prediction tasks. To demonstrate these properties, we first take a theoretical approach to find bounds over their dynamics, and compute their expressive power by the trajectory length measure in a latent trajectory space. We then conduct a series of time-series prediction experiments to manifest the approximation capability of Liquid Time-Constant Networks (LTCs) compared to classical and modern RNNs.","lang":"eng"}],"main_file_link":[{"open_access":"1","url":"https://ojs.aaai.org/index.php/AAAI/article/view/16936"}],"intvolume":"        35","publication_status":"published","file":[{"date_updated":"2022-01-26T07:36:03Z","file_id":"10678","file_name":"16936-Article Text-20430-1-2-20210518 (1).pdf","checksum":"0f06995fba06dbcfa7ed965fc66027ff","file_size":4302669,"access_level":"open_access","creator":"mlechner","relation":"main_file","success":1,"date_created":"2022-01-26T07:36:03Z","content_type":"application/pdf"}],"day":"28","ddc":["000"],"project":[{"call_identifier":"FWF","_id":"25F42A32-B435-11E9-9278-68D0E5697425","name":"The Wittgenstein Prize","grant_number":"Z211"}],"language":[{"iso":"eng"}],"month":"05","file_date_updated":"2022-01-26T07:36:03Z","conference":{"name":"AAAI: Association for the Advancement of Artificial Intelligence","end_date":"2021-02-09","location":"Virtual","start_date":"2021-02-02"},"date_published":"2021-05-28T00:00:00Z","author":[{"first_name":"Ramin","last_name":"Hasani","full_name":"Hasani, Ramin"},{"first_name":"Mathias","last_name":"Lechner","full_name":"Lechner, Mathias","id":"3DC22916-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Alexander","last_name":"Amini","full_name":"Amini, Alexander"},{"first_name":"Daniela","last_name":"Rus","full_name":"Rus, Daniela"},{"first_name":"Radu","last_name":"Grosu","full_name":"Grosu, Radu"}],"date_updated":"2022-05-24T06:36:54Z","alternative_title":["Technical Tracks"],"article_processing_charge":"No","quality_controlled":"1"},{"publisher":"International Federation for Computational Logic","publication":"Logical Methods in Computer Science","department":[{"_id":"ToHe"}],"title":"Determinacy in discrete-bidding infinite-duration games","date_created":"2022-01-25T16:32:13Z","oa_version":"Published Version","arxiv":1,"abstract":[{"lang":"eng","text":"In two-player games on graphs, the players move a token through a graph to produce an infinite path, which determines the winner of the game. Such games are central in formal methods since they model the interaction between a non-terminating system and its environment. In bidding games the players bid for the right to move the token: in each round, the players simultaneously submit bids, and the higher bidder moves the token and pays the other player. Bidding games are known to have a clean and elegant mathematical structure that relies on the ability of the players to submit arbitrarily small bids. Many applications, however, require a fixed granularity for the bids, which can represent, for example, the monetary value expressed in cents. We study, for the first time, the combination of discrete-bidding and infinite-duration games. Our most important result proves that these games form a large determined subclass of concurrent games, where determinacy is the strong property that there always exists exactly one player who can guarantee winning the game. In particular, we show that, in contrast to non-discrete bidding games, the mechanism with which tied bids are resolved plays an important role in discrete-bidding games. We study several natural tie-breaking mechanisms and show that, while some do not admit determinacy, most natural mechanisms imply determinacy for every pair of initial budgets."}],"user_id":"4359f0d1-fa6c-11eb-b949-802e58b17ae8","type":"journal_article","volume":17,"page":"10:1-10:23","year":"2021","has_accepted_license":"1","_id":"10674","issue":"1","external_id":{"arxiv":["1905.03588"],"isi":["000658724600010"]},"article_type":"original","oa":1,"status":"public","acknowledgement":"This research was supported in part by the Austrian Science Fund (FWF) under grants S11402-N23 (RiSE/SHiNE), Z211-N23 (Wittgenstein Award), and M 2369-N33 (Meitner fellowship).\r\n","publication_identifier":{"eissn":["1860-5974"]},"citation":{"short":"M. Aghajohari, G. Avni, T.A. Henzinger, Logical Methods in Computer Science 17 (2021) 10:1-10:23.","ista":"Aghajohari M, Avni G, Henzinger TA. 2021. Determinacy in discrete-bidding infinite-duration games. Logical Methods in Computer Science. 17(1), 10:1-10:23.","mla":"Aghajohari, Milad, et al. “Determinacy in Discrete-Bidding Infinite-Duration Games.” <i>Logical Methods in Computer Science</i>, vol. 17, no. 1, International Federation for Computational Logic, 2021, p. 10:1-10:23, doi:<a href=\"https://doi.org/10.23638/LMCS-17(1:10)2021\">10.23638/LMCS-17(1:10)2021</a>.","ama":"Aghajohari M, Avni G, Henzinger TA. Determinacy in discrete-bidding infinite-duration games. <i>Logical Methods in Computer Science</i>. 2021;17(1):10:1-10:23. doi:<a href=\"https://doi.org/10.23638/LMCS-17(1:10)2021\">10.23638/LMCS-17(1:10)2021</a>","apa":"Aghajohari, M., Avni, G., &#38; Henzinger, T. A. (2021). Determinacy in discrete-bidding infinite-duration games. <i>Logical Methods in Computer Science</i>. International Federation for Computational Logic. <a href=\"https://doi.org/10.23638/LMCS-17(1:10)2021\">https://doi.org/10.23638/LMCS-17(1:10)2021</a>","ieee":"M. Aghajohari, G. Avni, and T. A. Henzinger, “Determinacy in discrete-bidding infinite-duration games,” <i>Logical Methods in Computer Science</i>, vol. 17, no. 1. International Federation for Computational Logic, p. 10:1-10:23, 2021.","chicago":"Aghajohari, Milad, Guy Avni, and Thomas A Henzinger. “Determinacy in Discrete-Bidding Infinite-Duration Games.” <i>Logical Methods in Computer Science</i>. International Federation for Computational Logic, 2021. <a href=\"https://doi.org/10.23638/LMCS-17(1:10)2021\">https://doi.org/10.23638/LMCS-17(1:10)2021</a>."},"file_date_updated":"2022-01-26T08:04:50Z","tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"article_processing_charge":"No","doi":"10.23638/LMCS-17(1:10)2021","date_updated":"2023-08-17T06:56:42Z","date_published":"2021-02-03T00:00:00Z","author":[{"full_name":"Aghajohari, Milad","first_name":"Milad","last_name":"Aghajohari"},{"last_name":"Avni","orcid":"0000-0001-5588-8287","first_name":"Guy","id":"463C8BC2-F248-11E8-B48F-1D18A9856A87","full_name":"Avni, Guy"},{"first_name":"Thomas A","last_name":"Henzinger","orcid":"0000-0002-2985-7724","full_name":"Henzinger, Thomas A","id":"40876CD8-F248-11E8-B48F-1D18A9856A87"}],"quality_controlled":"1","keyword":["computer science","computer science and game theory","logic in computer science"],"scopus_import":"1","file":[{"relation":"main_file","creator":"alisjak","access_level":"open_access","content_type":"application/pdf","success":1,"date_created":"2022-01-26T08:04:50Z","file_id":"10690","date_updated":"2022-01-26T08:04:50Z","file_size":819878,"file_name":"2021_LMCS_AGHAJOHAR.pdf","checksum":"b35586a50ed1ca8f44767de116d18d81"}],"publication_status":"published","intvolume":"        17","ddc":["510"],"day":"03","month":"02","isi":1,"language":[{"iso":"eng"}],"project":[{"_id":"264B3912-B435-11E9-9278-68D0E5697425","name":"Formal Methods meets Algorithmic Game Theory","grant_number":"M02369","call_identifier":"FWF"},{"name":"Rigorous Systems Engineering","grant_number":"S11402-N23","_id":"25F2ACDE-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"},{"call_identifier":"FWF","name":"The Wittgenstein Prize","grant_number":"Z211","_id":"25F42A32-B435-11E9-9278-68D0E5697425"}]},{"abstract":[{"text":"Civl is a static verifier for concurrent programs designed around the conceptual framework of layered refinement,\r\nwhich views the task of verifying a program as a sequence of program simplification steps each justified by its own invariant. Civl verifies a layered concurrent program that compactly expresses all the programs in this sequence and the supporting invariants. This paper presents the design and implementation of the Civl verifier.","lang":"eng"}],"date_created":"2022-01-26T08:01:30Z","oa_version":"Published Version","publisher":"TU Wien Academic Press","publication":"Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design","department":[{"_id":"ToHe"}],"title":"The Civl verifier","publication_identifier":{"isbn":["978-3-85448-046-4"]},"citation":{"chicago":"Kragl, Bernhard, and Shaz Qadeer. “The Civl Verifier.” In <i>Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design</i>, edited by Piskac Ruzica and Michael W. Whalen, 2:143–152. TU Wien Academic Press, 2021. <a href=\"https://doi.org/10.34727/2021/isbn.978-3-85448-046-4_23\">https://doi.org/10.34727/2021/isbn.978-3-85448-046-4_23</a>.","ieee":"B. Kragl and S. Qadeer, “The Civl verifier,” in <i>Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design</i>, Virtual, 2021, vol. 2, pp. 143–152.","apa":"Kragl, B., &#38; Qadeer, S. (2021). The Civl verifier. In P. Ruzica &#38; M. W. Whalen (Eds.), <i>Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design</i> (Vol. 2, pp. 143–152). Virtual: TU Wien Academic Press. <a href=\"https://doi.org/10.34727/2021/isbn.978-3-85448-046-4_23\">https://doi.org/10.34727/2021/isbn.978-3-85448-046-4_23</a>","ama":"Kragl B, Qadeer S. The Civl verifier. In: Ruzica P, Whalen MW, eds. <i>Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design</i>. Vol 2. TU Wien Academic Press; 2021:143–152. doi:<a href=\"https://doi.org/10.34727/2021/isbn.978-3-85448-046-4_23\">10.34727/2021/isbn.978-3-85448-046-4_23</a>","mla":"Kragl, Bernhard, and Shaz Qadeer. “The Civl Verifier.” <i>Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design</i>, edited by Piskac Ruzica and Michael W. Whalen, vol. 2, TU Wien Academic Press, 2021, pp. 143–152, doi:<a href=\"https://doi.org/10.34727/2021/isbn.978-3-85448-046-4_23\">10.34727/2021/isbn.978-3-85448-046-4_23</a>.","ista":"Kragl B, Qadeer S. 2021. The Civl verifier. Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design. FMCAD: Formal Methods in Computer-Aided Design, Conference Series, vol. 2, 143–152.","short":"B. Kragl, S. Qadeer, in:, P. Ruzica, M.W. Whalen (Eds.), Proceedings of the 21st Conference on Formal Methods in Computer-Aided Design, TU Wien Academic Press, 2021, pp. 143–152."},"status":"public","oa":1,"acknowledgement":"This research was performed while Bernhard Kragl was at IST Austria, supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award).","year":"2021","has_accepted_license":"1","_id":"10688","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","type":"conference","volume":2,"page":"143–152","quality_controlled":"1","article_processing_charge":"No","alternative_title":["Conference Series"],"date_updated":"2022-01-26T08:20:41Z","doi":"10.34727/2021/isbn.978-3-85448-046-4_23","date_published":"2021-10-01T00:00:00Z","author":[{"full_name":"Kragl, Bernhard","id":"320FC952-F248-11E8-B48F-1D18A9856A87","first_name":"Bernhard","last_name":"Kragl","orcid":"0000-0001-7745-9117"},{"full_name":"Qadeer, Shaz","first_name":"Shaz","last_name":"Qadeer"}],"editor":[{"full_name":"Ruzica, Piskac","first_name":"Piskac","last_name":"Ruzica"},{"first_name":"Michael W.","last_name":"Whalen","full_name":"Whalen, Michael W."}],"conference":{"location":"Virtual","start_date":"2021-10-20","name":"FMCAD: Formal Methods in Computer-Aided Design","end_date":"2021-10-22"},"tmp":{"image":"/images/cc_by.png","short":"CC BY (4.0)","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"file_date_updated":"2022-01-26T08:04:29Z","month":"10","project":[{"name":"The Wittgenstein Prize","grant_number":"Z211","_id":"25F42A32-B435-11E9-9278-68D0E5697425","call_identifier":"FWF"}],"language":[{"iso":"eng"}],"ddc":["000"],"day":"01","file":[{"relation":"main_file","creator":"cchlebak","access_level":"open_access","content_type":"application/pdf","success":1,"date_created":"2022-01-26T08:04:29Z","date_updated":"2022-01-26T08:04:29Z","file_id":"10689","file_size":390555,"file_name":"2021_FCAD2021_Kragl.pdf","checksum":"35438ac9f9750340b7f8ae4ae3220d9f"}],"publication_status":"published","intvolume":"         2"},{"date_published":"2021-03-01T00:00:00Z","author":[{"full_name":"Polshyn, Hryhoriy","id":"edfc7cb1-526e-11ec-b05a-e6ecc27e4e48","first_name":"Hryhoriy","last_name":"Polshyn","orcid":"0000-0001-8223-8896"},{"full_name":"Zhu, Jihang","last_name":"Zhu","first_name":"Jihang"},{"full_name":"Kumar, Manish","last_name":"Kumar","first_name":"Manish"},{"full_name":"Zhang, Yuxuan","last_name":"Zhang","first_name":"Yuxuan"},{"first_name":"Fangyuan","last_name":"Yang","full_name":"Yang, Fangyuan"},{"full_name":"Tschirhart, Charles","last_name":"Tschirhart","first_name":"Charles"},{"full_name":"Serlin, Marec","last_name":"Serlin","first_name":"Marec"},{"last_name":"Watanabe","first_name":"Kenji","full_name":"Watanabe, Kenji"},{"last_name":"Tanaguchi","first_name":"Takashi","full_name":"Tanaguchi, Takashi"},{"full_name":"MacDonald, Allan","first_name":"Allan","last_name":"MacDonald"},{"last_name":"Young","first_name":"Andrea","full_name":"Young, Andrea"}],"date_updated":"2022-01-27T10:46:23Z","alternative_title":["Bulletin of the American Physical Society"],"article_processing_charge":"No","abstract":[{"lang":"eng","text":"We experimentally investigate narrow and topologically nontrivial moiré minibands hosted by van der Waals heterostructures consisting of a graphene monolayer rotationally faulted with respect to a Bernal-stacked bilayer. At fillings ν= 1 and 3 electrons per moiré unit cell within these bands, we observe quantized anomalous Hall effects with Rxy≈h/2e2, indicative of spontaneous polarization of the system into a single valley-projected band with Chern number C= 2. Remarkably, we also observe the evidence of symmetry broken Chern insulator states at ν= 1.5 and 3.5. At ν= 3 we find that the sign of the quantum anomalous Hall effect can be reversed via field-effect control of the chemical potential. This curious effect arises from the magnetization contribution due to topological edge states, which drive a reversal of the total magnetization and thus a switch of the favored magnetic state. Remarkably, we find that this switch is hysteretic, which we use to demonstrate non-volatile electric-field-induced reversal of the magnetic state. Voltage control of magnetic states can be used to electrically pattern nonvolatile magnetic domain structures hosting chiral edge states, with applications ranging from reconfigurable microwave circuit elements to ultra-low-power magnetic memory."}],"quality_controlled":"1","extern":"1","title":"Orbital Chern insulator states in twisted monolayer-bilayer graphene and electrical switching of topological and magnetic order","publication":"APS March Meeting 2021","article_number":"E42.00010","publisher":"American Physical Society","oa_version":"Published Version","date_created":"2022-01-27T09:49:48Z","conference":{"start_date":"2021-03-15","location":"Virtual","end_date":"2021-03-19","name":"APS: American Physical Society"},"status":"public","oa":1,"day":"01","issue":"1","citation":{"mla":"Polshyn, Hryhoriy, et al. “Orbital Chern Insulator States in Twisted Monolayer-Bilayer Graphene and Electrical Switching of Topological and Magnetic Order.” <i>APS March Meeting 2021</i>, vol. 66, no. 1, E42.00010, American Physical Society, 2021.","short":"H. Polshyn, J. Zhu, M. Kumar, Y. Zhang, F. Yang, C. Tschirhart, M. Serlin, K. Watanabe, T. Tanaguchi, A. MacDonald, A. Young, in:, APS March Meeting 2021, American Physical Society, 2021.","ista":"Polshyn H, Zhu J, Kumar M, Zhang Y, Yang F, Tschirhart C, Serlin M, Watanabe K, Tanaguchi T, MacDonald A, Young A. 2021. Orbital Chern insulator states in twisted monolayer-bilayer graphene and electrical switching of topological and magnetic order. APS March Meeting 2021. APS: American Physical Society, Bulletin of the American Physical Society, vol. 66, E42.00010.","ama":"Polshyn H, Zhu J, Kumar M, et al. Orbital Chern insulator states in twisted monolayer-bilayer graphene and electrical switching of topological and magnetic order. In: <i>APS March Meeting 2021</i>. Vol 66. American Physical Society; 2021.","apa":"Polshyn, H., Zhu, J., Kumar, M., Zhang, Y., Yang, F., Tschirhart, C., … Young, A. (2021). Orbital Chern insulator states in twisted monolayer-bilayer graphene and electrical switching of topological and magnetic order. In <i>APS March Meeting 2021</i> (Vol. 66). Virtual: American Physical Society.","ieee":"H. Polshyn <i>et al.</i>, “Orbital Chern insulator states in twisted monolayer-bilayer graphene and electrical switching of topological and magnetic order,” in <i>APS March Meeting 2021</i>, Virtual, 2021, vol. 66, no. 1.","chicago":"Polshyn, Hryhoriy, Jihang Zhu, Manish Kumar, Yuxuan Zhang, Fangyuan Yang, Charles Tschirhart, Marec Serlin, et al. “Orbital Chern Insulator States in Twisted Monolayer-Bilayer Graphene and Electrical Switching of Topological and Magnetic Order.” In <i>APS March Meeting 2021</i>, Vol. 66. American Physical Society, 2021."},"language":[{"iso":"eng"}],"publication_identifier":{"issn":["0003-0503"]},"month":"03","volume":66,"type":"conference","user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","_id":"10692","intvolume":"        66","main_file_link":[{"open_access":"1","url":"https://meetings.aps.org/Meeting/MAR21/Session/E42.10"}],"year":"2021"}]