--- _id: '10668' abstract: - lang: eng 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.' 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). alternative_title: - PMLR article_processing_charge: No author: - first_name: Zahra full_name: Babaiee, Zahra last_name: Babaiee - first_name: Ramin full_name: Hasani, Ramin last_name: Hasani - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Daniela full_name: Rus, Daniela last_name: Rus - first_name: Radu full_name: Grosu, Radu last_name: Grosu citation: ama: 'Babaiee Z, Hasani R, Lechner M, Rus D, Grosu R. On-off center-surround receptive fields for accurate and robust image classification. In: Proceedings of the 38th International Conference on Machine Learning. Vol 139. ML Research Press; 2021:478-489.' apa: 'Babaiee, Z., Hasani, R., Lechner, M., Rus, D., & Grosu, R. (2021). On-off center-surround receptive fields for accurate and robust image classification. In Proceedings of the 38th International Conference on Machine Learning (Vol. 139, pp. 478–489). Virtual: ML Research Press.' 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 Proceedings of the 38th International Conference on Machine Learning, 139:478–89. ML Research Press, 2021. 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 Proceedings of the 38th International Conference on Machine Learning, Virtual, 2021, vol. 139, pp. 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.' mla: Babaiee, Zahra, et al. “On-off Center-Surround Receptive Fields for Accurate and Robust Image Classification.” Proceedings of the 38th International Conference on Machine Learning, vol. 139, ML Research Press, 2021, pp. 478–89. 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. conference: end_date: 2021-07-24 location: Virtual name: 'ML: Machine Learning' start_date: 2021-07-18 date_created: 2022-01-25T15:46:33Z date_published: 2021-07-01T00:00:00Z date_updated: 2022-05-04T15:02:27Z day: '01' ddc: - '000' department: - _id: GradSch - _id: ToHe file: - access_level: open_access checksum: d30eae62561bb517d9f978437d7677db content_type: application/pdf creator: mlechner date_created: 2022-01-26T07:38:32Z date_updated: 2022-01-26T07:38:32Z file_id: '10681' file_name: babaiee21a.pdf file_size: 4246561 relation: main_file success: 1 file_date_updated: 2022-01-26T07:38:32Z has_accepted_license: '1' intvolume: ' 139' language: - iso: eng license: https://creativecommons.org/licenses/by-nc-nd/3.0/ main_file_link: - open_access: '1' url: https://proceedings.mlr.press/v139/babaiee21a month: '07' oa: 1 oa_version: Published Version page: 478-489 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Proceedings of the 38th International Conference on Machine Learning publication_identifier: issn: - 2640-3498 publication_status: published publisher: ML Research Press quality_controlled: '1' status: public title: On-off center-surround receptive fields for accurate and robust image classification tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) short: CC BY-NC-ND (3.0) type: conference user_id: 2EBD1598-F248-11E8-B48F-1D18A9856A87 volume: 139 year: '2021' ... --- _id: '10669' abstract: - lang: eng 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." 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" alternative_title: - Technical Tracks article_processing_charge: No arxiv: 1 author: - first_name: Sophie full_name: Grunbacher, Sophie last_name: Grunbacher - first_name: Ramin full_name: Hasani, Ramin last_name: Hasani - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Jacek full_name: Cyranka, Jacek last_name: Cyranka - first_name: Scott A full_name: Smolka, Scott A last_name: Smolka - first_name: Radu full_name: Grosu, Radu last_name: Grosu citation: ama: 'Grunbacher S, Hasani R, Lechner M, Cyranka J, Smolka SA, Grosu R. On the verification of neural ODEs with stochastic guarantees. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol 35. AAAI Press; 2021:11525-11535.' apa: 'Grunbacher, S., Hasani, R., Lechner, M., Cyranka, J., Smolka, S. A., & Grosu, R. (2021). On the verification of neural ODEs with stochastic guarantees. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 11525–11535). Virtual: AAAI Press.' 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 Proceedings of the AAAI Conference on Artificial Intelligence, 35:11525–35. AAAI Press, 2021. 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 Proceedings of the AAAI Conference on Artificial Intelligence, Virtual, 2021, vol. 35, no. 13, pp. 11525–11535. 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.' mla: Grunbacher, Sophie, et al. “On the Verification of Neural ODEs with Stochastic Guarantees.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 13, AAAI Press, 2021, pp. 11525–35. 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. conference: end_date: 2021-02-09 location: Virtual name: 'AAAI: Association for the Advancement of Artificial Intelligence' start_date: 2021-02-02 date_created: 2022-01-25T15:47:20Z date_published: 2021-05-28T00:00:00Z date_updated: 2022-05-24T06:33:14Z day: '28' ddc: - '000' department: - _id: GradSch - _id: ToHe external_id: arxiv: - '2012.08863' file: - access_level: open_access checksum: 468d07041e282a1d46ffdae92f709630 content_type: application/pdf creator: mlechner date_created: 2022-01-26T07:38:08Z date_updated: 2022-01-26T07:38:08Z file_id: '10680' file_name: 17372-Article Text-20866-1-2-20210518.pdf file_size: 286906 relation: main_file success: 1 file_date_updated: 2022-01-26T07:38:08Z has_accepted_license: '1' intvolume: ' 35' issue: '13' language: - iso: eng main_file_link: - open_access: '1' url: https://ojs.aaai.org/index.php/AAAI/article/view/17372 month: '05' oa: 1 oa_version: Published Version page: 11525-11535 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Proceedings of the AAAI Conference on Artificial Intelligence publication_identifier: eissn: - 2374-3468 isbn: - 978-1-57735-866-4 issn: - 2159-5399 publication_status: published publisher: AAAI Press quality_controlled: '1' status: public title: On the verification of neural ODEs with stochastic guarantees type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 35 year: '2021' ... --- _id: '10670' abstract: - lang: eng 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." 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" alternative_title: - ' Advances in Neural Information Processing Systems' article_processing_charge: No arxiv: 1 author: - first_name: Charles J full_name: Vorbach, Charles J last_name: Vorbach - first_name: Ramin full_name: Hasani, Ramin last_name: Hasani - first_name: Alexander full_name: Amini, Alexander last_name: Amini - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Daniela full_name: Rus, Daniela last_name: Rus citation: ama: 'Vorbach CJ, Hasani R, Amini A, Lechner M, Rus D. Causal navigation by continuous-time neural networks. In: 35th Conference on Neural Information Processing Systems. ; 2021.' apa: Vorbach, C. J., Hasani, R., Amini, A., Lechner, M., & Rus, D. (2021). Causal navigation by continuous-time neural networks. In 35th Conference on Neural Information Processing Systems. Virtual. chicago: Vorbach, Charles J, Ramin Hasani, Alexander Amini, Mathias Lechner, and Daniela Rus. “Causal Navigation by Continuous-Time Neural Networks.” In 35th Conference on Neural Information Processing Systems, 2021. ieee: C. J. Vorbach, R. Hasani, A. Amini, M. Lechner, and D. Rus, “Causal navigation by continuous-time neural networks,” in 35th Conference on Neural Information Processing Systems, Virtual, 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.” 35th Conference on Neural Information Processing Systems, 2021. short: C.J. Vorbach, R. Hasani, A. Amini, M. Lechner, D. Rus, in:, 35th Conference on Neural Information Processing Systems, 2021. conference: end_date: 2021-12-10 location: Virtual name: 'NeurIPS: Neural Information Processing Systems' start_date: 2021-12-06 date_created: 2022-01-25T15:47:50Z date_published: 2021-12-01T00:00:00Z date_updated: 2022-01-26T14:33:31Z day: '01' ddc: - '000' department: - _id: GradSch - _id: ToHe external_id: arxiv: - '2106.08314' file: - access_level: open_access checksum: be81f0ade174a8c9b2d4fe09590b2021 content_type: application/pdf creator: mlechner date_created: 2022-01-26T07:37:24Z date_updated: 2022-01-26T07:37:24Z file_id: '10679' file_name: NeurIPS-2021-causal-navigation-by-continuous-time-neural-networks-Paper.pdf file_size: 6841228 relation: main_file success: 1 file_date_updated: 2022-01-26T07:37:24Z has_accepted_license: '1' language: - iso: eng main_file_link: - open_access: '1' url: https://proceedings.neurips.cc/paper/2021/hash/67ba02d73c54f0b83c05507b7fb7267f-Abstract.html month: '12' oa: 1 oa_version: Published Version project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: 35th Conference on Neural Information Processing Systems publication_status: published quality_controlled: '1' status: public title: Causal navigation by continuous-time neural networks tmp: image: /images/cc_by_nc_nd.png legal_code_url: https://creativecommons.org/licenses/by-nc-nd/3.0/legalcode name: Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) short: CC BY-NC-ND (3.0) type: conference user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2021' ... --- _id: '10671' abstract: - lang: eng 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. 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." alternative_title: - Technical Tracks article_processing_charge: No arxiv: 1 author: - first_name: Ramin full_name: Hasani, Ramin last_name: Hasani - first_name: Mathias full_name: Lechner, Mathias id: 3DC22916-F248-11E8-B48F-1D18A9856A87 last_name: Lechner - first_name: Alexander full_name: Amini, Alexander last_name: Amini - first_name: Daniela full_name: Rus, Daniela last_name: Rus - first_name: Radu full_name: Grosu, Radu last_name: Grosu citation: ama: 'Hasani R, Lechner M, Amini A, Rus D, Grosu R. Liquid time-constant networks. In: Proceedings of the AAAI Conference on Artificial Intelligence. Vol 35. AAAI Press; 2021:7657-7666.' apa: 'Hasani, R., Lechner, M., Amini, A., Rus, D., & Grosu, R. (2021). Liquid time-constant networks. In Proceedings of the AAAI Conference on Artificial Intelligence (Vol. 35, pp. 7657–7666). Virtual: AAAI Press.' chicago: Hasani, Ramin, Mathias Lechner, Alexander Amini, Daniela Rus, and Radu Grosu. “Liquid Time-Constant Networks.” In Proceedings of the AAAI Conference on Artificial Intelligence, 35:7657–66. AAAI Press, 2021. ieee: R. Hasani, M. Lechner, A. Amini, D. Rus, and R. Grosu, “Liquid time-constant networks,” in Proceedings of the AAAI Conference on Artificial Intelligence, Virtual, 2021, vol. 35, no. 9, 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.” Proceedings of the AAAI Conference on Artificial Intelligence, vol. 35, no. 9, AAAI Press, 2021, pp. 7657–66. 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. conference: end_date: 2021-02-09 location: Virtual name: 'AAAI: Association for the Advancement of Artificial Intelligence' start_date: 2021-02-02 date_created: 2022-01-25T15:48:36Z date_published: 2021-05-28T00:00:00Z date_updated: 2022-05-24T06:36:54Z day: '28' ddc: - '000' department: - _id: GradSch - _id: ToHe external_id: arxiv: - '2006.04439' file: - access_level: open_access checksum: 0f06995fba06dbcfa7ed965fc66027ff content_type: application/pdf creator: mlechner date_created: 2022-01-26T07:36:03Z date_updated: 2022-01-26T07:36:03Z file_id: '10678' file_name: 16936-Article Text-20430-1-2-20210518 (1).pdf file_size: 4302669 relation: main_file success: 1 file_date_updated: 2022-01-26T07:36:03Z has_accepted_license: '1' intvolume: ' 35' issue: '9' language: - iso: eng main_file_link: - open_access: '1' url: https://ojs.aaai.org/index.php/AAAI/article/view/16936 month: '05' oa: 1 oa_version: Published Version page: 7657-7666 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Proceedings of the AAAI Conference on Artificial Intelligence publication_identifier: eissn: - 2374-3468 isbn: - 978-1-57735-866-4 issn: - 2159-5399 publication_status: published publisher: AAAI Press quality_controlled: '1' status: public title: Liquid time-constant networks type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 35 year: '2021' ... --- _id: '10694' abstract: - lang: eng text: 'In a two-player zero-sum graph game the players move a token throughout a graph to produce an infinite path, which determines the winner or payoff of the game. Traditionally, the players alternate turns in moving the token. In bidding games, however, the players have budgets, and in each turn, we hold an “auction” (bidding) to determine which player moves the token: both players simultaneously submit bids and the higher bidder moves the token. The bidding mechanisms differ in their payment schemes. Bidding games were largely studied with variants of first-price bidding in which only the higher bidder pays his bid. We focus on all-pay bidding, where both players pay their bids. Finite-duration all-pay bidding games were studied and shown to be technically more challenging than their first-price counterparts. We study for the first time, infinite-duration all-pay bidding games. Our most interesting results are for mean-payoff objectives: we portray a complete picture for games played on strongly-connected graphs. We study both pure (deterministic) and mixed (probabilistic) strategies and completely characterize the optimal and almost-sure (with probability 1) payoffs the players can respectively guarantee. We show that mean-payoff games under all-pay bidding exhibit the intriguing mathematical properties of their first-price counterparts; namely, an equivalence with random-turn games in which in each turn, the player who moves is selected according to a (biased) coin toss. The equivalences for all-pay bidding are more intricate and unexpected than for first-price bidding.' 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 by the European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 665385. article_processing_charge: No arxiv: 1 author: - first_name: Guy full_name: Avni, Guy id: 463C8BC2-F248-11E8-B48F-1D18A9856A87 last_name: Avni orcid: 0000-0001-5588-8287 - first_name: Ismael R full_name: Jecker, Ismael R id: 85D7C63E-7D5D-11E9-9C0F-98C4E5697425 last_name: Jecker - first_name: Dorde full_name: Zikelic, Dorde id: 294AA7A6-F248-11E8-B48F-1D18A9856A87 last_name: Zikelic orcid: 0000-0002-4681-1699 citation: ama: 'Avni G, Jecker IR, Zikelic D. Infinite-duration all-pay bidding games. In: Marx D, ed. Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms. Society for Industrial and Applied Mathematics; 2021:617-636. doi:10.1137/1.9781611976465.38' apa: 'Avni, G., Jecker, I. R., & Zikelic, D. (2021). Infinite-duration all-pay bidding games. In D. Marx (Ed.), Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (pp. 617–636). Virtual: Society for Industrial and Applied Mathematics. https://doi.org/10.1137/1.9781611976465.38' chicago: Avni, Guy, Ismael R Jecker, and Dorde Zikelic. “Infinite-Duration All-Pay Bidding Games.” In Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, edited by Dániel Marx, 617–36. Society for Industrial and Applied Mathematics, 2021. https://doi.org/10.1137/1.9781611976465.38. ieee: G. Avni, I. R. Jecker, and D. Zikelic, “Infinite-duration all-pay bidding games,” in Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, Virtual, 2021, pp. 617–636. ista: 'Avni G, Jecker IR, Zikelic D. 2021. Infinite-duration all-pay bidding games. Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms. SODA: Symposium on Discrete Algorithms, 617–636.' mla: Avni, Guy, et al. “Infinite-Duration All-Pay Bidding Games.” Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, edited by Dániel Marx, Society for Industrial and Applied Mathematics, 2021, pp. 617–36, doi:10.1137/1.9781611976465.38. short: G. Avni, I.R. Jecker, D. Zikelic, in:, D. Marx (Ed.), Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, Society for Industrial and Applied Mathematics, 2021, pp. 617–636. conference: end_date: 2021-01-13 location: Virtual name: 'SODA: Symposium on Discrete Algorithms' start_date: 2021-01-10 date_created: 2022-01-27T12:11:23Z date_published: 2021-01-01T00:00:00Z date_updated: 2025-07-14T09:10:12Z day: '01' department: - _id: GradSch - _id: KrCh doi: 10.1137/1.9781611976465.38 ec_funded: 1 editor: - first_name: Dániel full_name: Marx, Dániel last_name: Marx external_id: arxiv: - '2005.06636' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2005.06636 month: '01' oa: 1 oa_version: Preprint page: 617-636 project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize - _id: 0599E47C-7A3F-11EA-A408-12923DDC885E call_identifier: H2020 grant_number: '863818' name: 'Formal Methods for Stochastic Models: Algorithms and Applications' - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program publication: Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms publication_identifier: isbn: - 978-1-61197-646-5 publication_status: published publisher: Society for Industrial and Applied Mathematics quality_controlled: '1' scopus_import: '1' status: public title: Infinite-duration all-pay bidding games type: conference user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2021' ... --- _id: '11458' abstract: - lang: eng text: 'The increasing computational requirements of deep neural networks (DNNs) have led to significant interest in obtaining DNN models that are sparse, yet accurate. Recent work has investigated the even harder case of sparse training, where the DNN weights are, for as much as possible, already sparse to reduce computational costs during training. Existing sparse training methods are often empirical and can have lower accuracy relative to the dense baseline. In this paper, we present a general approach called Alternating Compressed/DeCompressed (AC/DC) training of DNNs, demonstrate convergence for a variant of the algorithm, and show that AC/DC outperforms existing sparse training methods in accuracy at similar computational budgets; at high sparsity levels, AC/DC even outperforms existing methods that rely on accurate pre-trained dense models. An important property of AC/DC is that it allows co-training of dense and sparse models, yielding accurate sparse–dense model pairs at the end of the training process. This is useful in practice, where compressed variants may be desirable for deployment in resource-constrained settings without re-doing the entire training flow, and also provides us with insights into the accuracy gap between dense and compressed models. The code is available at: https://github.com/IST-DASLab/ACDC.' acknowledged_ssus: - _id: ScienComp acknowledgement: This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 805223 ScaleML), and a CNRS PEPS grant. This research was supported by the Scientific Service Units (SSU) of IST Austria through resources provided by Scientific Computing (SciComp). We would also like to thank Christoph Lampert for his feedback on an earlier version of this work, as well as for providing hardware for the Transformer-XL experiments. article_processing_charge: No arxiv: 1 author: - first_name: Elena-Alexandra full_name: Peste, Elena-Alexandra id: 32D78294-F248-11E8-B48F-1D18A9856A87 last_name: Peste - first_name: Eugenia B full_name: Iofinova, Eugenia B id: f9a17499-f6e0-11ea-865d-fdf9a3f77117 last_name: Iofinova orcid: 0000-0002-7778-3221 - first_name: Adrian full_name: Vladu, Adrian last_name: Vladu - first_name: Dan-Adrian full_name: Alistarh, Dan-Adrian id: 4A899BFC-F248-11E8-B48F-1D18A9856A87 last_name: Alistarh orcid: 0000-0003-3650-940X citation: ama: 'Peste E-A, Iofinova EB, Vladu A, Alistarh D-A. AC/DC: Alternating Compressed/DeCompressed training of deep neural networks. In: 35th Conference on Neural Information Processing Systems. Vol 34. Curran Associates; 2021:8557-8570.' apa: 'Peste, E.-A., Iofinova, E. B., Vladu, A., & Alistarh, D.-A. (2021). AC/DC: Alternating Compressed/DeCompressed training of deep neural networks. In 35th Conference on Neural Information Processing Systems (Vol. 34, pp. 8557–8570). Virtual, Online: Curran Associates.' chicago: 'Peste, Elena-Alexandra, Eugenia B Iofinova, Adrian Vladu, and Dan-Adrian Alistarh. “AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks.” In 35th Conference on Neural Information Processing Systems, 34:8557–70. Curran Associates, 2021.' ieee: 'E.-A. Peste, E. B. Iofinova, A. Vladu, and D.-A. Alistarh, “AC/DC: Alternating Compressed/DeCompressed training of deep neural networks,” in 35th Conference on Neural Information Processing Systems, Virtual, Online, 2021, vol. 34, pp. 8557–8570.' ista: 'Peste E-A, Iofinova EB, Vladu A, Alistarh D-A. 2021. AC/DC: Alternating Compressed/DeCompressed training of deep neural networks. 35th Conference on Neural Information Processing Systems. NeurIPS: Neural Information Processing Systems vol. 34, 8557–8570.' mla: 'Peste, Elena-Alexandra, et al. “AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks.” 35th Conference on Neural Information Processing Systems, vol. 34, Curran Associates, 2021, pp. 8557–70.' short: E.-A. Peste, E.B. Iofinova, A. Vladu, D.-A. Alistarh, in:, 35th Conference on Neural Information Processing Systems, Curran Associates, 2021, pp. 8557–8570. conference: end_date: 2021-12-14 location: Virtual, Online name: 'NeurIPS: Neural Information Processing Systems' start_date: 2021-12-06 date_created: 2022-06-20T12:11:53Z date_published: 2021-12-06T00:00:00Z date_updated: 2023-06-01T12:54:45Z day: '6' department: - _id: GradSch - _id: DaAl ec_funded: 1 external_id: arxiv: - '2106.12379' intvolume: ' 34' language: - iso: eng main_file_link: - open_access: '1' url: https://proceedings.neurips.cc/paper/2021/file/48000647b315f6f00f913caa757a70b3-Paper.pdf month: '12' oa: 1 oa_version: Published Version page: 8557-8570 project: - _id: 268A44D6-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '805223' name: Elastic Coordination for Scalable Machine Learning publication: 35th Conference on Neural Information Processing Systems publication_identifier: isbn: - '9781713845393' issn: - 1049-5258 publication_status: published publisher: Curran Associates quality_controlled: '1' related_material: record: - id: '13074' relation: dissertation_contains status: public scopus_import: '1' status: public title: 'AC/DC: Alternating Compressed/DeCompressed training of deep neural networks' type: conference user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 volume: 34 year: '2021' ... --- _id: '8909' abstract: - lang: eng text: Spin qubits are considered to be among the most promising candidates for building a quantum processor. Group IV hole spin qubits have moved into the focus of interest due to the ease of operation and compatibility with Si technology. In addition, Ge offers the option for monolithic superconductor-semiconductor integration. Here we demonstrate a hole spin qubit operating at fields below 10 mT, the critical field of Al, by exploiting the large out-of-plane hole g-factors in planar Ge and by encoding the qubit into the singlet-triplet states of a double quantum dot. We observe electrically controlled X and Z-rotations with tunable frequencies exceeding 100 MHz and dephasing times of 1μs which we extend beyond 15μs with echo techniques. These results show that Ge hole singlet triplet qubits outperform their electronic Si and GaAs based counterparts in speed and coherence, respectively. In addition, they are on par with Ge single spin qubits, but can be operated at much lower fields underlining their potential for on chip integration with superconducting technologies. acknowledged_ssus: - _id: M-Shop - _id: NanoFab acknowledgement: This research was supported by the Scientific Service Units of Institute of Science and Technology (IST) Austria through resources provided by the Miba Machine Shop and the nanofabrication facility, and was made possible with the support of the NOMIS Foundation. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under Marie Sklodowska-Curie grant agreements no. 844511 and no. 75441, and by the Austrian Science Fund FWF-P 30207 project. A.B. acknowledges support from the European Union Horizon 2020 FET project microSPIRE, no. 766955. M. Botifoll and J.A. acknowledge funding from Generalitat de Catalunya 2017 SGR 327. The Catalan Institute of Nanoscience and Nanotechnology (ICN2) is supported by the Severo Ochoa programme from the Spanish Ministery of Economy (MINECO) (grant no. SEV-2017-0706) and is funded by the Catalonian Research Centre (CERCA) Programme, Generalitat de Catalunya. Part of the present work has been performed within the framework of the Universitat Autónoma de Barcelona Materials Science PhD programme. Part of the HAADF scanning transmission electron microscopy was conducted in the Laboratorio de Microscopias Avanzadas at Instituto de Nanociencia de Aragon, Universidad de Zaragoza. ICN2 acknowledge support from the Spanish Superior Council of Scientific Research (CSIC) Research Platform on Quantum Technologies PTI-001. M.B. acknowledges funding from the Catalan Agency for Management of University and Research Grants (AGAUR) Generalitat de Catalunya formation of investigators (FI) PhD grant. article_processing_charge: No article_type: original arxiv: 1 author: - first_name: Daniel full_name: Jirovec, Daniel id: 4C473F58-F248-11E8-B48F-1D18A9856A87 last_name: Jirovec orcid: 0000-0002-7197-4801 - first_name: Andrea C full_name: Hofmann, Andrea C id: 340F461A-F248-11E8-B48F-1D18A9856A87 last_name: Hofmann - first_name: Andrea full_name: Ballabio, Andrea last_name: Ballabio - first_name: Philipp M. full_name: Mutter, Philipp M. last_name: Mutter - first_name: Giulio full_name: Tavani, Giulio last_name: Tavani - first_name: Marc full_name: Botifoll, Marc last_name: Botifoll - first_name: Alessandro full_name: Crippa, Alessandro id: 1F2B21A2-F6E7-11E9-9B82-F7DBE5697425 last_name: Crippa orcid: 0000-0002-2968-611X - first_name: Josip full_name: Kukucka, Josip id: 3F5D8856-F248-11E8-B48F-1D18A9856A87 last_name: Kukucka - first_name: Oliver full_name: Sagi, Oliver id: 71616374-A8E9-11E9-A7CA-09ECE5697425 last_name: Sagi - first_name: Frederico full_name: Martins, Frederico id: 38F80F9A-1CB8-11EA-BC76-B49B3DDC885E last_name: Martins orcid: 0000-0003-2668-2401 - first_name: Jaime full_name: Saez Mollejo, Jaime id: e0390f72-f6e0-11ea-865d-862393336714 last_name: Saez Mollejo - first_name: Ivan full_name: Prieto Gonzalez, Ivan id: 2A307FE2-F248-11E8-B48F-1D18A9856A87 last_name: Prieto Gonzalez orcid: 0000-0002-7370-5357 - first_name: Maksim full_name: Borovkov, Maksim id: 2ac7a0a2-3562-11eb-9256-fbd18ea55087 last_name: Borovkov - first_name: Jordi full_name: Arbiol, Jordi last_name: Arbiol - first_name: Daniel full_name: Chrastina, Daniel last_name: Chrastina - first_name: Giovanni full_name: Isella, Giovanni last_name: Isella - first_name: Georgios full_name: Katsaros, Georgios id: 38DB5788-F248-11E8-B48F-1D18A9856A87 last_name: Katsaros orcid: 0000-0001-8342-202X citation: ama: Jirovec D, Hofmann AC, Ballabio A, et al. A singlet triplet hole spin qubit in planar Ge. Nature Materials. 2021;20(8):1106–1112. doi:10.1038/s41563-021-01022-2 apa: Jirovec, D., Hofmann, A. C., Ballabio, A., Mutter, P. M., Tavani, G., Botifoll, M., … Katsaros, G. (2021). A singlet triplet hole spin qubit in planar Ge. Nature Materials. Springer Nature. https://doi.org/10.1038/s41563-021-01022-2 chicago: Jirovec, Daniel, Andrea C Hofmann, Andrea Ballabio, Philipp M. Mutter, Giulio Tavani, Marc Botifoll, Alessandro Crippa, et al. “A Singlet Triplet Hole Spin Qubit in Planar Ge.” Nature Materials. Springer Nature, 2021. https://doi.org/10.1038/s41563-021-01022-2. ieee: D. Jirovec et al., “A singlet triplet hole spin qubit in planar Ge,” Nature Materials, vol. 20, no. 8. Springer Nature, pp. 1106–1112, 2021. ista: Jirovec D, Hofmann AC, Ballabio A, Mutter PM, Tavani G, Botifoll M, Crippa A, Kukucka J, Sagi O, Martins F, Saez Mollejo J, Prieto Gonzalez I, Borovkov M, Arbiol J, Chrastina D, Isella G, Katsaros G. 2021. A singlet triplet hole spin qubit in planar Ge. Nature Materials. 20(8), 1106–1112. mla: Jirovec, Daniel, et al. “A Singlet Triplet Hole Spin Qubit in Planar Ge.” Nature Materials, vol. 20, no. 8, Springer Nature, 2021, pp. 1106–1112, doi:10.1038/s41563-021-01022-2. short: D. Jirovec, A.C. Hofmann, A. Ballabio, P.M. Mutter, G. Tavani, M. Botifoll, A. Crippa, J. Kukucka, O. Sagi, F. Martins, J. Saez Mollejo, I. Prieto Gonzalez, M. Borovkov, J. Arbiol, D. Chrastina, G. Isella, G. Katsaros, Nature Materials 20 (2021) 1106–1112. date_created: 2020-12-02T10:50:47Z date_published: 2021-08-01T00:00:00Z date_updated: 2024-03-25T23:30:14Z day: '01' department: - _id: GeKa - _id: NanoFab - _id: GradSch doi: 10.1038/s41563-021-01022-2 ec_funded: 1 external_id: arxiv: - '2011.13755' isi: - '000657596400001' intvolume: ' 20' isi: 1 issue: '8' language: - iso: eng main_file_link: - open_access: '1' url: https://arxiv.org/abs/2011.13755 month: '08' oa: 1 oa_version: Preprint page: 1106–1112 project: - _id: 26A151DA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '844511' name: Majorana bound states in Ge/SiGe heterostructures - _id: 260C2330-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '754411' name: ISTplus - Postdoctoral Fellowships - _id: 2641CE5E-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: P30207 name: Hole spin orbit qubits in Ge quantum wells - _id: 262116AA-B435-11E9-9278-68D0E5697425 name: Hybrid Semiconductor - Superconductor Quantum Devices publication: Nature Materials publication_identifier: eissn: - 1476-4660 issn: - 1476-1122 publication_status: published publisher: Springer Nature quality_controlled: '1' related_material: link: - description: News on IST Homepage relation: press_release url: https://ist.ac.at/en/news/quantum-computing-with-holes/ record: - id: '9323' relation: research_data status: public - id: '10058' relation: dissertation_contains status: public scopus_import: '1' status: public title: A singlet triplet hole spin qubit in planar Ge type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 20 year: '2021' ... --- _id: '8934' abstract: - lang: eng text: "In this thesis, we consider several of the most classical and fundamental problems in static analysis and formal verification, including invariant generation, reachability analysis, termination analysis of probabilistic programs, data-flow analysis, quantitative analysis of Markov chains and Markov decision processes, and the problem of data packing in cache management.\r\nWe use techniques from parameterized complexity theory, polyhedral geometry, and real algebraic geometry to significantly improve the state-of-the-art, in terms of both scalability and completeness guarantees, for the mentioned problems. In some cases, our results are the first theoretical improvements for the respective problems in two or three decades." acknowledgement: 'The research was partially supported by an IBM PhD fellowship, a Facebook PhD fellowship, and DOC fellowship #24956 of the Austrian Academy of Sciences (OeAW).' alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Amir Kafshdar full_name: Goharshady, Amir Kafshdar id: 391365CE-F248-11E8-B48F-1D18A9856A87 last_name: Goharshady orcid: 0000-0003-1702-6584 citation: ama: Goharshady AK. Parameterized and algebro-geometric advances in static program analysis. 2021. doi:10.15479/AT:ISTA:8934 apa: Goharshady, A. K. (2021). Parameterized and algebro-geometric advances in static program analysis. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:8934 chicago: Goharshady, Amir Kafshdar. “Parameterized and Algebro-Geometric Advances in Static Program Analysis.” Institute of Science and Technology Austria, 2021. https://doi.org/10.15479/AT:ISTA:8934. ieee: A. K. Goharshady, “Parameterized and algebro-geometric advances in static program analysis,” Institute of Science and Technology Austria, 2021. ista: Goharshady AK. 2021. Parameterized and algebro-geometric advances in static program analysis. Institute of Science and Technology Austria. mla: Goharshady, Amir Kafshdar. Parameterized and Algebro-Geometric Advances in Static Program Analysis. Institute of Science and Technology Austria, 2021, doi:10.15479/AT:ISTA:8934. short: A.K. Goharshady, Parameterized and Algebro-Geometric Advances in Static Program Analysis, Institute of Science and Technology Austria, 2021. date_created: 2020-12-10T12:17:07Z date_published: 2021-01-01T00:00:00Z date_updated: 2025-06-02T08:53:47Z day: '01' ddc: - '005' degree_awarded: PhD department: - _id: KrCh - _id: GradSch doi: 10.15479/AT:ISTA:8934 file: - access_level: open_access checksum: d1b9db3725aed34dadd81274aeb9426c content_type: application/pdf creator: akafshda date_created: 2020-12-22T20:08:44Z date_updated: 2021-12-23T23:30:04Z embargo: 2021-12-22 file_id: '8969' file_name: Thesis-pdfa.pdf file_size: 5251507 relation: main_file - access_level: closed checksum: 1661df7b393e6866d2460eba3c905130 content_type: application/zip creator: akafshda date_created: 2020-12-22T20:08:50Z date_updated: 2021-03-04T23:30:04Z embargo_to: open_access file_id: '8970' file_name: source.zip file_size: 10636756 relation: source_file file_date_updated: 2021-12-23T23:30:04Z has_accepted_license: '1' language: - iso: eng license: https://creativecommons.org/publicdomain/zero/1.0/ month: '01' oa: 1 oa_version: Published Version page: '278' project: - _id: 267066CE-B435-11E9-9278-68D0E5697425 name: Quantitative Analysis of Probablistic Systems with a focus on Crypto-currencies - _id: 266EEEC0-B435-11E9-9278-68D0E5697425 name: Quantitative Game-theoretic Analysis of Blockchain Applications and Smart Contracts publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '1386' relation: part_of_dissertation status: public - id: '1437' relation: part_of_dissertation status: public - id: '639' relation: part_of_dissertation status: public - id: '6918' relation: part_of_dissertation status: public - id: '6490' relation: part_of_dissertation status: public - id: '7158' relation: part_of_dissertation status: public - id: '6009' relation: part_of_dissertation status: public - id: '949' relation: part_of_dissertation status: public - id: '311' relation: part_of_dissertation status: public - id: '7810' relation: part_of_dissertation status: public - id: '8089' relation: part_of_dissertation status: public - id: '8728' relation: part_of_dissertation status: public - id: '5977' relation: part_of_dissertation status: public - id: '6056' relation: part_of_dissertation status: public - id: '6175' relation: part_of_dissertation status: public - id: '6340' relation: part_of_dissertation status: public - id: '6378' relation: part_of_dissertation status: public - id: '6380' relation: part_of_dissertation status: public - id: '66' relation: part_of_dissertation status: public - id: '6780' relation: part_of_dissertation status: public - id: '7014' relation: part_of_dissertation status: public status: public supervisor: - first_name: Krishnendu full_name: Chatterjee, Krishnendu id: 2E5DCA20-F248-11E8-B48F-1D18A9856A87 last_name: Chatterjee orcid: 0000-0002-4561-241X title: Parameterized and algebro-geometric advances in static program analysis tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: dissertation user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2021' ... --- _id: '6995' abstract: - lang: eng text: Human brain organoids represent a powerful tool for the study of human neurological diseases particularly those that impact brain growth and structure. However, many neurological diseases lack obvious anatomical abnormalities, yet significantly impact neural network functions, raising the question of whether organoids possess sufficient neural network architecture and complexity to model these conditions. Here, we explore the network level functions of brain organoids using calcium sensor imaging and extracellular recording approaches that together reveal the existence of complex oscillatory network behaviors reminiscent of intact brain preparations. We further demonstrate strikingly abnormal epileptiform network activity in organoids derived from a Rett Syndrome patient despite only modest anatomical differences from isogenically matched controls, and rescue with an unconventional neuromodulatory drug Pifithrin-α. Together, these findings provide an essential foundation for the utilization of human brain organoids to study intact and disordered human brain network formation and illustrate their utility in therapeutic discovery. acknowledgement: We thank S. Butler, T. Carmichael and members of the laboratory of B.G.N. for helpful discussions and comments on the manuscript; N. Vishlaghi and F. Turcios-Hernandez for technical assistance, and J. Lee, S.-K. Lee, H. Shinagawa and K. Yoshikawa for valuable reagents. We also thank the UCLA Eli and Edythe Broad Stem Cell Research Center (BSCRC) and Intellectual and Developmental Disabilities Research Center microscopy cores for access to imaging facilities. This work was supported by grants from the California Institute for Regenerative Medicine (CIRM) (DISC1-08819 to B.G.N.), the National Institute of Health (R01NS089817, R01DA051897 and P50HD103557 to B.G.N.; K08NS119747 to R.A.S.; K99HD096105 to M.W.; R01MH123922, R01MH121521 and P50HD103557 to M.J.G.; R01GM099134 to K.P.; R01NS103788 to W.E.L.; R01NS088571 to J.M.P.; R01NS030549 and R01AG050474 to I.M.), and research awards from the UCLA Jonsson Comprehensive Cancer Center and BSCRC Ablon Scholars Program (to B.G.N.), the BSCRC Innovation Program (to B.G.N., K.P. and W.E.L.), the UCLA BSCRC Steffy Brain Aging Research Fund (to B.G.N. and W.E.L.) and the UCLA Clinical and Translational Science Institute (to B.G.N.), Paul Allen Family Foundation Frontiers Group (to K.P. and W.E.L.), the March of Dimes Foundation (to W.E.L.) and the Simons Foundation Autism Research Initiative Bridge to Independence Program (to R.A.S. and M.J.G.). R.A.S. was also supported by the UCLA/NINDS Translational Neuroscience Training Grant (R25NS065723), a Research and Training Fellowship from the American Epilepsy Society, a Taking Flight Award from CURE Epilepsy and a Clinician Scientist training award from the UCLA BSCRC. J.E.B. was supported by the UCLA BSCRC Rose Hills Foundation Graduate Scholarship Training Program. M.W. was supported by postdoctoral training awards provided by the UCLA BSCRC and the Uehara Memorial Foundation. O.A.M. and A.K. were supported in part by the UCLA-California State University Northridge CIRM-Bridges training program (EDUC2-08411). We also acknowledge the support of the IDDRC Cells, Circuits and Systems Analysis, Microscopy and Genetics and Genomics Cores of the Semel Institute of Neuroscience at UCLA, which are supported by the NICHD (U54HD087101 and P50HD10355701). We lastly acknowledge support from a Quantitative and Computational Biosciences Collaboratory Postdoctoral Fellowship to S.M. and the Quantitative and Computational Biosciences Collaboratory community, directed by M. Pellegrini. alternative_title: - Nature Neuroscience article_processing_charge: Yes author: - first_name: Ranmal A. full_name: Samarasinghe, Ranmal A. last_name: Samarasinghe - first_name: Osvaldo full_name: Miranda, Osvaldo id: 862A3C56-A8BF-11E9-B4FA-D9E3E5697425 last_name: Miranda orcid: 0000-0001-6618-6889 - first_name: Jessie E. full_name: Buth, Jessie E. last_name: Buth - first_name: Simon full_name: Mitchell, Simon last_name: Mitchell - first_name: Isabella full_name: Ferando, Isabella last_name: Ferando - first_name: Momoko full_name: Watanabe, Momoko last_name: Watanabe - first_name: Arinnae full_name: Kurdian, Arinnae last_name: Kurdian - first_name: Peyman full_name: Golshani, Peyman last_name: Golshani - first_name: Kathrin full_name: Plath, Kathrin last_name: Plath - first_name: William E. full_name: Lowry, William E. last_name: Lowry - first_name: Jack M. full_name: Parent, Jack M. last_name: Parent - first_name: Istvan full_name: Mody, Istvan last_name: Mody - first_name: Bennett G. full_name: Novitch, Bennett G. last_name: Novitch citation: ama: Samarasinghe RA, Miranda O, Buth JE, et al. Identification of Neural Oscillations and Epileptiform Changes in Human Brain Organoids. Vol 24. Springer Nature; 2021. doi:10.1038/s41593-021-00906-5 apa: Samarasinghe, R. A., Miranda, O., Buth, J. E., Mitchell, S., Ferando, I., Watanabe, M., … Novitch, B. G. (2021). Identification of neural oscillations and epileptiform changes in human brain organoids (Vol. 24). Springer Nature. https://doi.org/10.1038/s41593-021-00906-5 chicago: Samarasinghe, Ranmal A., Osvaldo Miranda, Jessie E. Buth, Simon Mitchell, Isabella Ferando, Momoko Watanabe, Arinnae Kurdian, et al. Identification of Neural Oscillations and Epileptiform Changes in Human Brain Organoids. Vol. 24. Springer Nature, 2021. https://doi.org/10.1038/s41593-021-00906-5. ieee: R. A. Samarasinghe et al., Identification of neural oscillations and epileptiform changes in human brain organoids, vol. 24. Springer Nature, 2021. ista: Samarasinghe RA, Miranda O, Buth JE, Mitchell S, Ferando I, Watanabe M, Kurdian A, Golshani P, Plath K, Lowry WE, Parent JM, Mody I, Novitch BG. 2021. Identification of neural oscillations and epileptiform changes in human brain organoids, Springer Nature, 32p. mla: Samarasinghe, Ranmal A., et al. Identification of Neural Oscillations and Epileptiform Changes in Human Brain Organoids. Vol. 24, Springer Nature, 2021, doi:10.1038/s41593-021-00906-5. short: R.A. Samarasinghe, O. Miranda, J.E. Buth, S. Mitchell, I. Ferando, M. Watanabe, A. Kurdian, P. Golshani, K. Plath, W.E. Lowry, J.M. Parent, I. Mody, B.G. Novitch, Identification of Neural Oscillations and Epileptiform Changes in Human Brain Organoids, Springer Nature, 2021. date_created: 2019-11-10T11:23:58Z date_published: 2021-08-23T00:00:00Z date_updated: 2023-08-04T10:49:44Z day: '23' department: - _id: GradSch - _id: SiHi doi: 10.1038/s41593-021-00906-5 external_id: isi: - '000687516300001' pmid: - '34426698 ' intvolume: ' 24' isi: 1 language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.1038/s41593-021-00906-5 month: '08' oa: 1 oa_version: Published Version page: '32' pmid: 1 publication_identifier: eissn: - 1546-1726 issn: - 1097-6256 publication_status: published publisher: Springer Nature status: public title: Identification of neural oscillations and epileptiform changes in human brain organoids type: technical_report user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 24 year: '2021' ... --- _id: '14278' abstract: - lang: eng text: 'The Birkhoff conjecture says that the boundary of a strictly convex integrable billiard table is necessarily an ellipse. In this article, we consider a stronger notion of integrability, namely, integrability close to the boundary, and prove a local version of this conjecture: a small perturbation of almost every ellipse that preserves integrability near the boundary, is itself an ellipse. We apply this result to study local spectral rigidity of ellipses using the connection between the wave trace of the Laplacian and the dynamics near the boundary and establish rigidity for almost all of them.' article_number: '2111.12171' article_processing_charge: No arxiv: 1 author: - first_name: Illya full_name: Koval, Illya id: 2eed1f3b-896a-11ed-bdf8-93c7c4bf159e last_name: Koval citation: ama: Koval I. Local strong Birkhoff conjecture and local spectral rigidity of almost every ellipse. arXiv. doi:10.48550/ARXIV.2111.12171 apa: Koval, I. (n.d.). Local strong Birkhoff conjecture and local spectral rigidity of almost every ellipse. arXiv. https://doi.org/10.48550/ARXIV.2111.12171 chicago: Koval, Illya. “Local Strong Birkhoff Conjecture and Local Spectral Rigidity of Almost Every Ellipse.” ArXiv, n.d. https://doi.org/10.48550/ARXIV.2111.12171. ieee: I. Koval, “Local strong Birkhoff conjecture and local spectral rigidity of almost every ellipse,” arXiv. . ista: Koval I. Local strong Birkhoff conjecture and local spectral rigidity of almost every ellipse. arXiv, 2111.12171. mla: Koval, Illya. “Local Strong Birkhoff Conjecture and Local Spectral Rigidity of Almost Every Ellipse.” ArXiv, 2111.12171, doi:10.48550/ARXIV.2111.12171. short: I. Koval, ArXiv (n.d.). date_created: 2023-09-06T08:35:43Z date_published: 2021-11-23T00:00:00Z date_updated: 2023-09-15T06:44:00Z day: '23' department: - _id: GradSch doi: 10.48550/ARXIV.2111.12171 external_id: arxiv: - '2111.12171' language: - iso: eng main_file_link: - open_access: '1' url: https://doi.org/10.48550/arXiv.2111.12171 month: '11' oa: 1 oa_version: Preprint publication: arXiv publication_status: submitted status: public title: Local strong Birkhoff conjecture and local spectral rigidity of almost every ellipse type: preprint user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2021' ... --- _id: '9022' abstract: - lang: eng text: "In the first part of the thesis we consider Hermitian random matrices. Firstly, we consider sample covariance matrices XX∗ with X having independent identically distributed (i.i.d.) centred entries. We prove a Central Limit Theorem for differences of linear statistics of XX∗ and its minor after removing the first column of X. Secondly, we consider Wigner-type matrices and prove that the eigenvalue statistics near cusp singularities of the limiting density of states are universal and that they form a Pearcey process. Since the limiting eigenvalue distribution admits only square root (edge) and cubic root (cusp) singularities, this concludes the third and last remaining case of the Wigner-Dyson-Mehta universality conjecture. The main technical ingredients are an optimal local law at the cusp, and the proof of the fast relaxation to equilibrium of the Dyson Brownian motion in the cusp regime.\r\nIn the second part we consider non-Hermitian matrices X with centred i.i.d. entries. We normalise the entries of X to have variance N −1. It is well known that the empirical eigenvalue density converges to the uniform distribution on the unit disk (circular law). In the first project, we prove universality of the local eigenvalue statistics close to the edge of the spectrum. This is the non-Hermitian analogue of the TracyWidom universality at the Hermitian edge. Technically we analyse the evolution of the spectral distribution of X along the Ornstein-Uhlenbeck flow for very long time\r\n(up to t = +∞). In the second project, we consider linear statistics of eigenvalues for macroscopic test functions f in the Sobolev space H2+ϵ and prove their convergence to the projection of the Gaussian Free Field on the unit disk. We prove this result for non-Hermitian matrices with real or complex entries. The main technical ingredients are: (i) local law for products of two resolvents at different spectral parameters, (ii) analysis of correlated Dyson Brownian motions.\r\nIn the third and final part we discuss the mathematically rigorous application of supersymmetric techniques (SUSY ) to give a lower tail estimate of the lowest singular value of X − z, with z ∈ C. More precisely, we use superbosonisation formula to give an integral representation of the resolvent of (X − z)(X − z)∗ which reduces to two and three contour integrals in the complex and real case, respectively. The rigorous analysis of these integrals is quite challenging since simple saddle point analysis cannot be applied (the main contribution comes from a non-trivial manifold). Our result\r\nimproves classical smoothing inequalities in the regime |z| ≈ 1; this result is essential to prove edge universality for i.i.d. non-Hermitian matrices." acknowledgement: I gratefully acknowledge the financial support from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 665385 and my advisor’s ERC Advanced Grant No. 338804. alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Giorgio full_name: Cipolloni, Giorgio id: 42198EFA-F248-11E8-B48F-1D18A9856A87 last_name: Cipolloni orcid: 0000-0002-4901-7992 citation: ama: Cipolloni G. Fluctuations in the spectrum of random matrices. 2021. doi:10.15479/AT:ISTA:9022 apa: Cipolloni, G. (2021). Fluctuations in the spectrum of random matrices. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:9022 chicago: Cipolloni, Giorgio. “Fluctuations in the Spectrum of Random Matrices.” Institute of Science and Technology Austria, 2021. https://doi.org/10.15479/AT:ISTA:9022. ieee: G. Cipolloni, “Fluctuations in the spectrum of random matrices,” Institute of Science and Technology Austria, 2021. ista: Cipolloni G. 2021. Fluctuations in the spectrum of random matrices. Institute of Science and Technology Austria. mla: Cipolloni, Giorgio. Fluctuations in the Spectrum of Random Matrices. Institute of Science and Technology Austria, 2021, doi:10.15479/AT:ISTA:9022. short: G. Cipolloni, Fluctuations in the Spectrum of Random Matrices, Institute of Science and Technology Austria, 2021. date_created: 2021-01-21T18:16:54Z date_published: 2021-01-25T00:00:00Z date_updated: 2023-09-07T13:29:32Z day: '25' ddc: - '510' degree_awarded: PhD department: - _id: GradSch - _id: LaEr doi: 10.15479/AT:ISTA:9022 ec_funded: 1 file: - access_level: open_access checksum: 5a93658a5f19478372523ee232887e2b content_type: application/pdf creator: gcipollo date_created: 2021-01-25T14:19:03Z date_updated: 2021-01-25T14:19:03Z file_id: '9043' file_name: thesis.pdf file_size: 4127796 relation: main_file success: 1 - access_level: closed checksum: e8270eddfe6a988e92a53c88d1d19b8c content_type: application/zip creator: gcipollo date_created: 2021-01-25T14:19:10Z date_updated: 2021-01-25T14:19:10Z file_id: '9044' file_name: Thesis_files.zip file_size: 12775206 relation: source_file file_date_updated: 2021-01-25T14:19:10Z has_accepted_license: '1' language: - iso: eng month: '01' oa: 1 oa_version: Published Version page: '380' project: - _id: 2564DBCA-B435-11E9-9278-68D0E5697425 call_identifier: H2020 grant_number: '665385' name: International IST Doctoral Program - _id: 258DCDE6-B435-11E9-9278-68D0E5697425 call_identifier: FP7 grant_number: '338804' name: Random matrices, universality and disordered quantum systems publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria status: public supervisor: - first_name: László full_name: Erdös, László id: 4DBD5372-F248-11E8-B48F-1D18A9856A87 last_name: Erdös orcid: 0000-0001-5366-9603 title: Fluctuations in the spectrum of random matrices type: dissertation user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2021' ... --- _id: '9056' abstract: - lang: eng text: "In this thesis we study persistence of multi-covers of Euclidean balls and the geometric structures underlying their computation, in particular Delaunay mosaics and Voronoi tessellations. The k-fold cover for some discrete input point set consists of the space where at least k balls of radius r around the input points overlap. Persistence is a notion that captures, in some sense, the topology of the shape underlying the input. While persistence is usually computed for the union of balls, the k-fold cover is of interest as it captures local density,\r\nand thus might approximate the shape of the input better if the input data is noisy. To compute persistence of these k-fold covers, we need a discretization that is provided by higher-order Delaunay mosaics. We present and implement a simple and efficient algorithm for the computation of higher-order Delaunay mosaics, and use it to give experimental results for their combinatorial properties. The algorithm makes use of a new geometric structure, the rhomboid tiling. It contains the higher-order Delaunay mosaics as slices, and by introducing a filtration\r\nfunction on the tiling, we also obtain higher-order α-shapes as slices. These allow us to compute persistence of the multi-covers for varying radius r; the computation for varying k is less straight-foward and involves the rhomboid tiling directly. We apply our algorithms to experimental sphere packings to shed light on their structural properties. Finally, inspired by periodic structures in packings and materials, we propose and implement an algorithm for periodic Delaunay triangulations to be integrated into the Computational Geometry Algorithms Library (CGAL), and discuss the implications on persistence for periodic data sets." alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Georg F full_name: Osang, Georg F id: 464B40D6-F248-11E8-B48F-1D18A9856A87 last_name: Osang orcid: 0000-0002-8882-5116 citation: ama: Osang GF. Multi-cover persistence and Delaunay mosaics. 2021. doi:10.15479/AT:ISTA:9056 apa: Osang, G. F. (2021). Multi-cover persistence and Delaunay mosaics. Institute of Science and Technology Austria, Klosterneuburg. https://doi.org/10.15479/AT:ISTA:9056 chicago: Osang, Georg F. “Multi-Cover Persistence and Delaunay Mosaics.” Institute of Science and Technology Austria, 2021. https://doi.org/10.15479/AT:ISTA:9056. ieee: G. F. Osang, “Multi-cover persistence and Delaunay mosaics,” Institute of Science and Technology Austria, Klosterneuburg, 2021. ista: 'Osang GF. 2021. Multi-cover persistence and Delaunay mosaics. Klosterneuburg: Institute of Science and Technology Austria.' mla: Osang, Georg F. Multi-Cover Persistence and Delaunay Mosaics. Institute of Science and Technology Austria, 2021, doi:10.15479/AT:ISTA:9056. short: G.F. Osang, Multi-Cover Persistence and Delaunay Mosaics, Institute of Science and Technology Austria, 2021. date_created: 2021-02-02T14:11:06Z date_published: 2021-02-01T00:00:00Z date_updated: 2023-09-07T13:29:01Z day: '01' ddc: - '006' - '514' - '516' degree_awarded: PhD department: - _id: HeEd - _id: GradSch doi: 10.15479/AT:ISTA:9056 file: - access_level: closed checksum: bcf27986147cab0533b6abadd74e7629 content_type: application/zip creator: patrickd date_created: 2021-02-02T14:09:25Z date_updated: 2021-02-03T10:37:28Z file_id: '9063' file_name: thesis_source.zip file_size: 13446994 relation: source_file - access_level: open_access checksum: 9cc8af266579a464385bbe2aff6af606 content_type: application/pdf creator: patrickd date_created: 2021-02-02T14:09:18Z date_updated: 2021-02-02T14:09:18Z file_id: '9064' file_name: thesis_pdfA2b.pdf file_size: 5210329 relation: main_file success: 1 file_date_updated: 2021-02-03T10:37:28Z has_accepted_license: '1' language: - iso: eng month: '02' oa: 1 oa_version: Published Version page: '134' place: Klosterneuburg publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria related_material: record: - id: '187' relation: part_of_dissertation status: public - id: '8703' relation: part_of_dissertation status: public status: public supervisor: - first_name: Herbert full_name: Edelsbrunner, Herbert id: 3FB178DA-F248-11E8-B48F-1D18A9856A87 last_name: Edelsbrunner orcid: 0000-0002-9823-6833 title: Multi-cover persistence and Delaunay mosaics tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: dissertation user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2021' ... --- _id: '9121' abstract: - lang: eng text: "We show that the energy gap for the BCS gap equation is\r\nΞ=μ(8e−2+o(1))exp(π2μ−−√a)\r\nin the low density limit μ→0. Together with the similar result for the critical temperature by Hainzl and Seiringer (Lett Math Phys 84: 99–107, 2008), this shows that, in the low density limit, the ratio of the energy gap and critical temperature is a universal constant independent of the interaction potential V. The results hold for a class of potentials with negative scattering length a and no bound states." acknowledgement: "Most of this work was done as part of the author’s master’s thesis. The author would like to thank Jan Philip Solovej for his supervision of this process.\r\nOpen Access funding provided by Institute of Science and Technology (IST Austria)" article_number: '20' article_processing_charge: Yes (via OA deal) article_type: original author: - first_name: Asbjørn Bækgaard full_name: Lauritsen, Asbjørn Bækgaard id: e1a2682f-dc8d-11ea-abe3-81da9ac728f1 last_name: Lauritsen orcid: 0000-0003-4476-2288 citation: ama: Lauritsen AB. The BCS energy gap at low density. Letters in Mathematical Physics. 2021;111. doi:10.1007/s11005-021-01358-5 apa: Lauritsen, A. B. (2021). The BCS energy gap at low density. Letters in Mathematical Physics. Springer Nature. https://doi.org/10.1007/s11005-021-01358-5 chicago: Lauritsen, Asbjørn Bækgaard. “The BCS Energy Gap at Low Density.” Letters in Mathematical Physics. Springer Nature, 2021. https://doi.org/10.1007/s11005-021-01358-5. ieee: A. B. Lauritsen, “The BCS energy gap at low density,” Letters in Mathematical Physics, vol. 111. Springer Nature, 2021. ista: Lauritsen AB. 2021. The BCS energy gap at low density. Letters in Mathematical Physics. 111, 20. mla: Lauritsen, Asbjørn Bækgaard. “The BCS Energy Gap at Low Density.” Letters in Mathematical Physics, vol. 111, 20, Springer Nature, 2021, doi:10.1007/s11005-021-01358-5. short: A.B. Lauritsen, Letters in Mathematical Physics 111 (2021). date_created: 2021-02-15T09:27:14Z date_published: 2021-02-12T00:00:00Z date_updated: 2023-09-05T15:17:16Z day: '12' ddc: - '510' department: - _id: GradSch doi: 10.1007/s11005-021-01358-5 external_id: isi: - '000617531900001' file: - access_level: open_access checksum: eaf1b3ff5026f120f0929a5c417dc842 content_type: application/pdf creator: dernst date_created: 2021-02-15T09:31:07Z date_updated: 2021-02-15T09:31:07Z file_id: '9122' file_name: 2021_LettersMathPhysics_Lauritsen.pdf file_size: 329332 relation: main_file success: 1 file_date_updated: 2021-02-15T09:31:07Z has_accepted_license: '1' intvolume: ' 111' isi: 1 keyword: - Mathematical Physics - Statistical and Nonlinear Physics language: - iso: eng month: '02' oa: 1 oa_version: Published Version project: - _id: B67AFEDC-15C9-11EA-A837-991A96BB2854 name: IST Austria Open Access Fund publication: Letters in Mathematical Physics publication_identifier: eissn: - 1573-0530 issn: - 0377-9017 publication_status: published publisher: Springer Nature quality_controlled: '1' status: public title: The BCS energy gap at low density tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: journal_article user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 volume: 111 year: '2021' ... --- _id: '9192' abstract: - lang: eng text: Here are the research data underlying the publication " Effects of fine-scale population structure on inbreeding in a long-term study of snapdragons (Antirrhinum majus)." Further information are summed up in the README document. article_processing_charge: No author: - first_name: Parvathy full_name: Surendranadh, Parvathy id: 455235B8-F248-11E8-B48F-1D18A9856A87 last_name: Surendranadh - first_name: Louise S full_name: Arathoon, Louise S id: 2CFCFF98-F248-11E8-B48F-1D18A9856A87 last_name: Arathoon orcid: 0000-0003-1771-714X - first_name: Carina full_name: Baskett, Carina id: 3B4A7CE2-F248-11E8-B48F-1D18A9856A87 last_name: Baskett orcid: 0000-0002-7354-8574 - first_name: David full_name: Field, David id: 419049E2-F248-11E8-B48F-1D18A9856A87 last_name: Field orcid: 0000-0002-4014-8478 - first_name: Melinda full_name: Pickup, Melinda id: 2C78037E-F248-11E8-B48F-1D18A9856A87 last_name: Pickup orcid: 0000-0001-6118-0541 - first_name: Nicholas H full_name: Barton, Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 citation: ama: Surendranadh P, Arathoon LS, Baskett C, Field D, Pickup M, Barton NH. Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus. 2021. doi:10.15479/AT:ISTA:9192 apa: Surendranadh, P., Arathoon, L. S., Baskett, C., Field, D., Pickup, M., & Barton, N. H. (2021). Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus. Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:9192 chicago: Surendranadh, Parvathy, Louise S Arathoon, Carina Baskett, David Field, Melinda Pickup, and Nicholas H Barton. “Effects of Fine-Scale Population Structure on the Distribution of Heterozygosity in a Long-Term Study of Antirrhinum Majus.” Institute of Science and Technology Austria, 2021. https://doi.org/10.15479/AT:ISTA:9192. ieee: P. Surendranadh, L. S. Arathoon, C. Baskett, D. Field, M. Pickup, and N. H. Barton, “Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus.” Institute of Science and Technology Austria, 2021. ista: Surendranadh P, Arathoon LS, Baskett C, Field D, Pickup M, Barton NH. 2021. Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus, Institute of Science and Technology Austria, 10.15479/AT:ISTA:9192. mla: Surendranadh, Parvathy, et al. Effects of Fine-Scale Population Structure on the Distribution of Heterozygosity in a Long-Term Study of Antirrhinum Majus. Institute of Science and Technology Austria, 2021, doi:10.15479/AT:ISTA:9192. short: P. Surendranadh, L.S. Arathoon, C. Baskett, D. Field, M. Pickup, N.H. Barton, (2021). contributor: - contributor_type: project_member first_name: Parvathy id: 455235B8-F248-11E8-B48F-1D18A9856A87 last_name: Surendranadh - contributor_type: project_member first_name: Louise S id: 2CFCFF98-F248-11E8-B48F-1D18A9856A87 last_name: Arathoon - contributor_type: project_member first_name: Carina id: 3B4A7CE2-F248-11E8-B48F-1D18A9856A87 last_name: Baskett - contributor_type: project_member first_name: David id: 419049E2-F248-11E8-B48F-1D18A9856A87 last_name: Field orcid: 0000-0002-4014-8478 - contributor_type: project_member first_name: Melinda id: 2C78037E-F248-11E8-B48F-1D18A9856A87 last_name: Pickup orcid: 0000-0001-6118-0541 - contributor_type: project_leader first_name: Nicholas H id: 4880FE40-F248-11E8-B48F-1D18A9856A87 last_name: Barton orcid: 0000-0002-8548-5240 date_created: 2021-02-24T17:49:21Z date_published: 2021-02-26T00:00:00Z date_updated: 2024-02-21T12:41:09Z day: '26' ddc: - '576' department: - _id: GradSch - _id: NiBa doi: 10.15479/AT:ISTA:9192 file: - access_level: open_access checksum: f85537815809a8a4b7da9d01163f88c0 content_type: application/x-zip-compressed creator: larathoo date_created: 2021-02-24T17:45:13Z date_updated: 2021-02-24T17:45:13Z file_id: '9193' file_name: Data_Code.zip file_size: 5934452 relation: main_file success: 1 file_date_updated: 2021-02-24T17:45:13Z has_accepted_license: '1' month: '02' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria related_material: record: - id: '11411' relation: used_in_publication status: public - id: '11321' relation: later_version status: public - id: '8254' relation: earlier_version status: public status: public title: Effects of fine-scale population structure on the distribution of heterozygosity in a long-term study of Antirrhinum majus tmp: image: /images/cc_by.png legal_code_url: https://creativecommons.org/licenses/by/4.0/legalcode name: Creative Commons Attribution 4.0 International Public License (CC-BY 4.0) short: CC BY (4.0) type: research_data user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2021' ... --- _id: '9323' abstract: - lang: eng text: This .zip File contains the data for figures presented in the main text and supplementary material of "A singlet triplet hole spin qubit in planar Ge" by D. Jirovec, et. al. The measurements were done using Labber Software and the data is stored in the hdf5 file format. The files can be opened using either the Labber Log Browser (https://labber.org/overview/) or Labber Python API (http://labber.org/online-doc/api/LogFile.html). A single file is acquired with QCodes and features the corresponding data type. XRD data are in .dat format and a code to open the data is provided. The code for simulations is as well provided in Python. article_processing_charge: No author: - first_name: Daniel full_name: Jirovec, Daniel id: 4C473F58-F248-11E8-B48F-1D18A9856A87 last_name: Jirovec orcid: 0000-0002-7197-4801 citation: ama: Jirovec D. Research data for “A singlet-triplet hole spin qubit planar Ge.” 2021. doi:10.15479/AT:ISTA:9323 apa: Jirovec, D. (2021). Research data for “A singlet-triplet hole spin qubit planar Ge.” Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:9323 chicago: Jirovec, Daniel. “Research Data for ‘A Singlet-Triplet Hole Spin Qubit Planar Ge.’” Institute of Science and Technology Austria, 2021. https://doi.org/10.15479/AT:ISTA:9323. ieee: D. Jirovec, “Research data for ‘A singlet-triplet hole spin qubit planar Ge.’” Institute of Science and Technology Austria, 2021. ista: Jirovec D. 2021. Research data for ‘A singlet-triplet hole spin qubit planar Ge’, Institute of Science and Technology Austria, 10.15479/AT:ISTA:9323. mla: Jirovec, Daniel. Research Data for “A Singlet-Triplet Hole Spin Qubit Planar Ge.” Institute of Science and Technology Austria, 2021, doi:10.15479/AT:ISTA:9323. short: D. Jirovec, (2021). contributor: - contributor_type: project_member first_name: Daniel id: 4C473F58-F248-11E8-B48F-1D18A9856A87 last_name: Jirovec date_created: 2021-04-14T09:50:22Z date_published: 2021-04-14T00:00:00Z date_updated: 2024-02-21T12:39:15Z day: '14' ddc: - '530' department: - _id: GradSch - _id: GeKa doi: 10.15479/AT:ISTA:9323 file: - access_level: open_access checksum: c569d2a2ce1694445cdbca19cf8ae023 content_type: application/x-zip-compressed creator: djirovec date_created: 2021-04-14T09:48:47Z date_updated: 2021-04-14T09:48:47Z file_id: '9324' file_name: DataRepositorySTqubit.zip file_size: 221832287 relation: main_file success: 1 - access_level: open_access checksum: 845bdf87430718ad6aff47eda7b5fc92 content_type: application/octet-stream creator: djirovec date_created: 2021-04-14T09:49:30Z date_updated: 2021-04-14T09:49:30Z file_id: '9325' file_name: ReadMe file_size: 4323 relation: main_file success: 1 file_date_updated: 2021-04-14T09:49:30Z has_accepted_license: '1' month: '04' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria related_material: record: - id: '8909' relation: used_in_publication status: public status: public title: Research data for "A singlet-triplet hole spin qubit planar Ge" tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2021' ... --- _id: '9327' abstract: - lang: eng text: "This archive contains the missing sweater mesh animations and displacement models for the code of \"Mechanics-Aware Deformation of Yarn Pattern Geometry\"\r\n\r\nCode Repository: https://git.ist.ac.at/gsperl/MADYPG" author: - first_name: Georg full_name: Sperl, Georg id: 4DD40360-F248-11E8-B48F-1D18A9856A87 last_name: Sperl - first_name: Rahul full_name: Narain, Rahul last_name: Narain - first_name: Christopher J full_name: Wojtan, Christopher J id: 3C61F1D2-F248-11E8-B48F-1D18A9856A87 last_name: Wojtan orcid: 0000-0001-6646-5546 citation: ama: Sperl G, Narain R, Wojtan C. Mechanics-Aware Deformation of Yarn Pattern Geometry (Additional Animation/Model Data). 2021. doi:10.15479/AT:ISTA:9327 apa: Sperl, G., Narain, R., & Wojtan, C. (2021). Mechanics-Aware Deformation of Yarn Pattern Geometry (Additional Animation/Model Data). IST Austria. https://doi.org/10.15479/AT:ISTA:9327 chicago: Sperl, Georg, Rahul Narain, and Chris Wojtan. “Mechanics-Aware Deformation of Yarn Pattern Geometry (Additional Animation/Model Data).” IST Austria, 2021. https://doi.org/10.15479/AT:ISTA:9327. ieee: G. Sperl, R. Narain, and C. Wojtan, “Mechanics-Aware Deformation of Yarn Pattern Geometry (Additional Animation/Model Data).” IST Austria, 2021. ista: Sperl G, Narain R, Wojtan C. 2021. Mechanics-Aware Deformation of Yarn Pattern Geometry (Additional Animation/Model Data), IST Austria, 10.15479/AT:ISTA:9327. mla: Sperl, Georg, et al. Mechanics-Aware Deformation of Yarn Pattern Geometry (Additional Animation/Model Data). IST Austria, 2021, doi:10.15479/AT:ISTA:9327. short: G. Sperl, R. Narain, C. Wojtan, (2021). date_created: 2021-04-16T14:26:19Z date_published: 2021-05-01T00:00:00Z date_updated: 2023-08-10T14:24:36Z ddc: - '005' department: - _id: GradSch - _id: ChWo doi: 10.15479/AT:ISTA:9327 file: - access_level: open_access checksum: 0324cb519273371708743f3282e7c081 content_type: application/zip creator: gsperl date_created: 2021-04-16T14:15:12Z date_updated: 2021-04-16T14:15:12Z file_id: '9328' file_name: MADYPG_extra_data.zip file_size: 802586232 relation: main_file success: 1 - access_level: open_access checksum: 4c224551adf852b136ec21a4e13f0c1b content_type: application/gzip creator: pub-gitlab-bot date_created: 2021-04-26T09:33:44Z date_updated: 2021-04-26T09:33:44Z file_id: '9353' file_name: MADYPG.zip file_size: 64962865 relation: main_file file_date_updated: 2021-04-26T09:33:44Z gitlab_commit_id: 6a77e7e22769230ae5f5edaa090fb4b828e57573 gitlab_url: https://git.ist.ac.at/gsperl/MADYPG has_accepted_license: '1' license: https://opensource.org/licenses/MIT month: '05' oa: 1 publisher: IST Austria related_material: record: - id: '9818' relation: used_for_analysis_in status: public status: public title: Mechanics-Aware Deformation of Yarn Pattern Geometry (Additional Animation/Model Data) tmp: legal_code_url: https://opensource.org/licenses/MIT name: The MIT License short: MIT type: software user_id: 8b945eb4-e2f2-11eb-945a-df72226e66a9 year: '2021' ... --- _id: '9356' abstract: - lang: eng text: 'In runtime verification, a monitor watches a trace of a system and, if possible, decides after observing each finite prefix whether or not the unknown infinite trace satisfies a given specification. We generalize the theory of runtime verification to monitors that attempt to estimate numerical values of quantitative trace properties (instead of attempting to conclude boolean values of trace specifications), such as maximal or average response time along a trace. Quantitative monitors are approximate: with every finite prefix, they can improve their estimate of the infinite trace''s unknown property value. Consequently, quantitative monitors can be compared with regard to a precision-cost trade-off: better approximations of the property value require more monitor resources, such as states (in the case of finite-state monitors) or registers, and additional resources yield better approximations. We introduce a formal framework for quantitative and approximate monitoring, show how it conservatively generalizes the classical boolean setting for monitoring, and give several precision-cost trade-offs for monitors. For example, we prove that there are quantitative properties for which every additional register improves monitoring precision.' acknowledgement: We thank the anonymous reviewers for their helpful comments. This research was supported in part by the Austrian Science Fund (FWF) under grant Z211-N23 (Wittgenstein Award). article_number: '9470547' article_processing_charge: No arxiv: 1 author: - first_name: Thomas A full_name: Henzinger, Thomas A id: 40876CD8-F248-11E8-B48F-1D18A9856A87 last_name: Henzinger orcid: 0000-0002-2985-7724 - first_name: Naci E full_name: Sarac, Naci E id: 8C6B42F8-C8E6-11E9-A03A-F2DCE5697425 last_name: Sarac citation: ama: 'Henzinger TA, Sarac NE. Quantitative and approximate monitoring. In: Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science. Institute of Electrical and Electronics Engineers; 2021. doi:10.1109/LICS52264.2021.9470547' apa: 'Henzinger, T. A., & Sarac, N. E. (2021). Quantitative and approximate monitoring. In Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science. Online: Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/LICS52264.2021.9470547' chicago: Henzinger, Thomas A, and Naci E Sarac. “Quantitative and Approximate Monitoring.” In Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/LICS52264.2021.9470547. ieee: T. A. Henzinger and N. E. Sarac, “Quantitative and approximate monitoring,” in Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science, Online, 2021. ista: 'Henzinger TA, Sarac NE. 2021. Quantitative and approximate monitoring. Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science. LICS: Symposium on Logic in Computer Science, 9470547.' mla: Henzinger, Thomas A., and Naci E. Sarac. “Quantitative and Approximate Monitoring.” Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science, 9470547, Institute of Electrical and Electronics Engineers, 2021, doi:10.1109/LICS52264.2021.9470547. short: T.A. Henzinger, N.E. Sarac, in:, Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science, Institute of Electrical and Electronics Engineers, 2021. conference: end_date: 2021-07-02 location: Online name: 'LICS: Symposium on Logic in Computer Science' start_date: 2021-06-29 date_created: 2021-04-30T17:30:47Z date_published: 2021-06-29T00:00:00Z date_updated: 2023-08-08T13:52:56Z day: '29' ddc: - '000' department: - _id: GradSch - _id: ToHe doi: 10.1109/LICS52264.2021.9470547 external_id: arxiv: - '2105.08353' isi: - '000947350400021' file: - access_level: open_access checksum: 6e4cba3f72775f479c5b1b75d1a4a0c4 content_type: application/pdf creator: esarac date_created: 2021-06-16T08:23:54Z date_updated: 2021-06-16T08:23:54Z file_id: '9557' file_name: qam.pdf file_size: 641990 relation: main_file success: 1 file_date_updated: 2021-06-16T08:23:54Z has_accepted_license: '1' isi: 1 language: - iso: eng month: '06' oa: 1 oa_version: Published Version project: - _id: 25F42A32-B435-11E9-9278-68D0E5697425 call_identifier: FWF grant_number: Z211 name: The Wittgenstein Prize publication: Proceedings of the 36th Annual ACM/IEEE Symposium on Logic in Computer Science publication_status: published publisher: Institute of Electrical and Electronics Engineers quality_controlled: '1' scopus_import: '1' status: public title: Quantitative and approximate monitoring type: conference user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 year: '2021' ... --- _id: '9387' abstract: - lang: eng text: We report the complete analysis of a deterministic model of deleterious mutations and negative selection against them at two haploid loci without recombination. As long as mutation is a weaker force than selection, mutant alleles remain rare at the only stable equilibrium, and otherwise, a variety of dynamics are possible. If the mutation-free genotype is absent, generally the only stable equilibrium is the one that corresponds to fixation of the mutant allele at the locus where it is less deleterious. This result suggests that fixation of a deleterious allele that follows a click of the Muller’s ratchet is governed by natural selection, instead of random drift. acknowledgement: This work was supported by the Russian Science Foundation grant N 16-14-10173. article_number: '110729' article_processing_charge: No article_type: original author: - first_name: Kseniia full_name: Khudiakova, Kseniia id: 4E6DC800-AE37-11E9-AC72-31CAE5697425 last_name: Khudiakova orcid: 0000-0002-6246-1465 - first_name: Tatiana Yu. full_name: Neretina, Tatiana Yu. last_name: Neretina - first_name: Alexey S. full_name: Kondrashov, Alexey S. last_name: Kondrashov citation: ama: Khudiakova K, Neretina TY, Kondrashov AS. Two linked loci under mutation-selection balance and Muller’s ratchet. Journal of Theoretical Biology. 2021;524. doi:10.1016/j.jtbi.2021.110729 apa: Khudiakova, K., Neretina, T. Y., & Kondrashov, A. S. (2021). Two linked loci under mutation-selection balance and Muller’s ratchet. Journal of Theoretical Biology. Elsevier . https://doi.org/10.1016/j.jtbi.2021.110729 chicago: Khudiakova, Kseniia, Tatiana Yu. Neretina, and Alexey S. Kondrashov. “Two Linked Loci under Mutation-Selection Balance and Muller’s Ratchet.” Journal of Theoretical Biology. Elsevier , 2021. https://doi.org/10.1016/j.jtbi.2021.110729. ieee: K. Khudiakova, T. Y. Neretina, and A. S. Kondrashov, “Two linked loci under mutation-selection balance and Muller’s ratchet,” Journal of Theoretical Biology, vol. 524. Elsevier , 2021. ista: Khudiakova K, Neretina TY, Kondrashov AS. 2021. Two linked loci under mutation-selection balance and Muller’s ratchet. Journal of Theoretical Biology. 524, 110729. mla: Khudiakova, Kseniia, et al. “Two Linked Loci under Mutation-Selection Balance and Muller’s Ratchet.” Journal of Theoretical Biology, vol. 524, 110729, Elsevier , 2021, doi:10.1016/j.jtbi.2021.110729. short: K. Khudiakova, T.Y. Neretina, A.S. Kondrashov, Journal of Theoretical Biology 524 (2021). date_created: 2021-05-12T05:58:42Z date_published: 2021-04-24T00:00:00Z date_updated: 2023-08-08T13:32:40Z day: '24' department: - _id: GradSch doi: 10.1016/j.jtbi.2021.110729 external_id: isi: - '000659161500002' intvolume: ' 524' isi: 1 keyword: - General Biochemistry - Genetics and Molecular Biology - Modelling and Simulation - Statistics and Probability - General Immunology and Microbiology - Applied Mathematics - General Agricultural and Biological Sciences - General Medicine language: - iso: eng main_file_link: - open_access: '1' url: https://www.biorxiv.org/content/10.1101/477489v1 month: '04' oa: 1 oa_version: Preprint publication: Journal of Theoretical Biology publication_identifier: issn: - 0022-5193 publication_status: published publisher: 'Elsevier ' quality_controlled: '1' status: public title: Two linked loci under mutation-selection balance and Muller’s ratchet type: journal_article user_id: 4359f0d1-fa6c-11eb-b949-802e58b17ae8 volume: 524 year: '2021' ... --- _id: '9389' abstract: - lang: eng text: "This .zip File contains the transport data for \"Non-topological zero bias peaks in full-shell nanowires induced by flux tunable Andreev states\" by M. Valentini, et. al. \r\nThe measurements were done using Labber Software and the data is stored in the hdf5 file format.\r\nInstructions of how to read the data are in \"Notebook_Valentini.pdf\"." acknowledged_ssus: - _id: NanoFab article_processing_charge: No author: - first_name: Marco full_name: Valentini, Marco id: C0BB2FAC-D767-11E9-B658-BC13E6697425 last_name: Valentini citation: ama: Valentini M. Research data for “Non-topological zero bias peaks in full-shell nanowires induced by flux tunable Andreev states.” 2021. doi:10.15479/AT:ISTA:9389 apa: Valentini, M. (2021). Research data for “Non-topological zero bias peaks in full-shell nanowires induced by flux tunable Andreev states.” Institute of Science and Technology Austria. https://doi.org/10.15479/AT:ISTA:9389 chicago: Valentini, Marco. “Research Data for ‘Non-Topological Zero Bias Peaks in Full-Shell Nanowires Induced by Flux Tunable Andreev States.’” Institute of Science and Technology Austria, 2021. https://doi.org/10.15479/AT:ISTA:9389. ieee: M. Valentini, “Research data for ‘Non-topological zero bias peaks in full-shell nanowires induced by flux tunable Andreev states.’” Institute of Science and Technology Austria, 2021. ista: Valentini M. 2021. Research data for ‘Non-topological zero bias peaks in full-shell nanowires induced by flux tunable Andreev states’, Institute of Science and Technology Austria, 10.15479/AT:ISTA:9389. mla: Valentini, Marco. Research Data for “Non-Topological Zero Bias Peaks in Full-Shell Nanowires Induced by Flux Tunable Andreev States.” Institute of Science and Technology Austria, 2021, doi:10.15479/AT:ISTA:9389. short: M. Valentini, (2021). contributor: - contributor_type: contact_person first_name: Marco id: C0BB2FAC-D767-11E9-B658-BC13E6697425 last_name: Valentini date_created: 2021-05-14T12:07:53Z date_published: 2021-01-01T00:00:00Z date_updated: 2024-02-21T12:40:09Z ddc: - '530' department: - _id: GradSch - _id: GeKa doi: 10.15479/AT:ISTA:9389 file: - access_level: open_access checksum: 80a905c4eef24dab6fb247e81a3d67f5 content_type: application/pdf creator: mvalenti date_created: 2021-05-14T11:42:23Z date_updated: 2021-05-14T11:42:23Z file_id: '9390' file_name: Notebook_Valentini.pdf file_size: 10572981 relation: main_file - access_level: open_access checksum: 1e61a7e63949448a8db0091cdac23570 content_type: application/x-zip-compressed creator: mvalenti date_created: 2021-05-14T11:56:48Z date_updated: 2021-05-14T11:56:48Z file_id: '9391' file_name: Experimental_data.zip file_size: 99076111 relation: main_file file_date_updated: 2021-05-14T11:56:48Z has_accepted_license: '1' oa: 1 oa_version: Published Version publisher: Institute of Science and Technology Austria related_material: record: - id: '8910' relation: used_in_publication status: public status: public title: Research data for "Non-topological zero bias peaks in full-shell nanowires induced by flux tunable Andreev states" tmp: image: /images/cc_0.png legal_code_url: https://creativecommons.org/publicdomain/zero/1.0/legalcode name: Creative Commons Public Domain Dedication (CC0 1.0) short: CC0 (1.0) type: research_data user_id: 2DF688A6-F248-11E8-B48F-1D18A9856A87 year: '2021' ... --- _id: '9397' abstract: - lang: eng text: Accumulation of interstitial fluid (IF) between embryonic cells is a common phenomenon in vertebrate embryogenesis. Unlike other model systems, where these accumulations coalesce into a large central cavity – the blastocoel, in zebrafish, IF is more uniformly distributed between the deep cells (DC) before the onset of gastrulation. This is likely due to the presence of a large extraembryonic structure – the yolk cell (YC) at the position where the blastocoel typically forms in other model organisms. IF has long been speculated to play a role in tissue morphogenesis during embryogenesis, but direct evidence supporting such function is still sparse. Here we show that the relocalization of IF to the interface between the YC and DC/epiblast is critical for axial mesendoderm (ME) cell protrusion formation and migration along this interface, a key process in embryonic axis formation. We further demonstrate that axial ME cell migration and IF relocalization engage in a positive feedback loop, where axial ME migration triggers IF accumulation ahead of the advancing axial ME tissue by mechanically compressing the overlying epiblast cell layer. Upon compression, locally induced flow relocalizes the IF through the porous epiblast tissue resulting in an IF accumulation ahead of the leading axial ME. This IF accumulation, in turn, promotes cell protrusion formation and migration of the leading axial ME cells, thereby facilitating axial ME extension. Our findings reveal a central role of dynamic IF relocalization in orchestrating germ layer morphogenesis during gastrulation. alternative_title: - ISTA Thesis article_processing_charge: No author: - first_name: Karla full_name: Huljev, Karla id: 44C6F6A6-F248-11E8-B48F-1D18A9856A87 last_name: Huljev citation: ama: Huljev K. Coordinated spatiotemporal reorganization of interstitial fluid is required for axial mesendoderm migration in zebrafish gastrulation. 2021. doi:10.15479/at:ista:9397 apa: Huljev, K. (2021). Coordinated spatiotemporal reorganization of interstitial fluid is required for axial mesendoderm migration in zebrafish gastrulation. Institute of Science and Technology Austria. https://doi.org/10.15479/at:ista:9397 chicago: Huljev, Karla. “Coordinated Spatiotemporal Reorganization of Interstitial Fluid Is Required for Axial Mesendoderm Migration in Zebrafish Gastrulation.” Institute of Science and Technology Austria, 2021. https://doi.org/10.15479/at:ista:9397. ieee: K. Huljev, “Coordinated spatiotemporal reorganization of interstitial fluid is required for axial mesendoderm migration in zebrafish gastrulation,” Institute of Science and Technology Austria, 2021. ista: Huljev K. 2021. Coordinated spatiotemporal reorganization of interstitial fluid is required for axial mesendoderm migration in zebrafish gastrulation. Institute of Science and Technology Austria. mla: Huljev, Karla. Coordinated Spatiotemporal Reorganization of Interstitial Fluid Is Required for Axial Mesendoderm Migration in Zebrafish Gastrulation. Institute of Science and Technology Austria, 2021, doi:10.15479/at:ista:9397. short: K. Huljev, Coordinated Spatiotemporal Reorganization of Interstitial Fluid Is Required for Axial Mesendoderm Migration in Zebrafish Gastrulation, Institute of Science and Technology Austria, 2021. date_created: 2021-05-17T12:31:30Z date_published: 2021-05-18T00:00:00Z date_updated: 2023-09-07T13:32:32Z day: '18' ddc: - '571' degree_awarded: PhD department: - _id: CaHe - _id: GradSch doi: 10.15479/at:ista:9397 file: - access_level: closed checksum: 7f98532f5324a0b2f3fa8de2967baa19 content_type: application/vnd.openxmlformats-officedocument.wordprocessingml.document creator: khuljev date_created: 2021-05-17T12:29:12Z date_updated: 2022-05-21T22:30:04Z embargo_to: open_access file_id: '9398' file_name: KHuljev_Thesis_corrections.docx file_size: 47799741 relation: source_file - access_level: open_access checksum: bf512f8a1e572a543778fc4b227c01ba content_type: application/pdf creator: khuljev date_created: 2021-05-18T14:50:28Z date_updated: 2022-05-21T22:30:04Z embargo: 2022-05-20 file_id: '9401' file_name: new_KHuljev_Thesis_corrections.pdf file_size: 16542131 relation: main_file file_date_updated: 2022-05-21T22:30:04Z has_accepted_license: '1' language: - iso: eng month: '05' oa: 1 oa_version: Published Version page: '101' publication_identifier: issn: - 2663-337X publication_status: published publisher: Institute of Science and Technology Austria status: public supervisor: - first_name: Carl-Philipp J full_name: Heisenberg, Carl-Philipp J id: 39427864-F248-11E8-B48F-1D18A9856A87 last_name: Heisenberg orcid: 0000-0002-0912-4566 title: Coordinated spatiotemporal reorganization of interstitial fluid is required for axial mesendoderm migration in zebrafish gastrulation type: dissertation user_id: c635000d-4b10-11ee-a964-aac5a93f6ac1 year: '2021' ...