[{"external_id":{"arxiv":["2304.03382"]},"quality_controlled":"1","citation":{"chicago":"Montagna, Francesco, Nicoletta Noceti, Lorenzo Rosasco, Kun Zhang, and Francesco Locatello. “Scalable Causal Discovery with Score Matching.” In <i>2nd Conference on Causal Learning and Reasoning</i>, 2023.","apa":"Montagna, F., Noceti, N., Rosasco, L., Zhang, K., &#38; Locatello, F. (2023). Scalable causal discovery with score matching. In <i>2nd Conference on Causal Learning and Reasoning</i>. Tübingen, Germany.","ista":"Montagna F, Noceti N, Rosasco L, Zhang K, Locatello F. 2023. Scalable causal discovery with score matching. 2nd Conference on Causal Learning and Reasoning. CLeaR: Conference on Causal Learning and Reasoning.","mla":"Montagna, Francesco, et al. “Scalable Causal Discovery with Score Matching.” <i>2nd Conference on Causal Learning and Reasoning</i>, 2023.","short":"F. Montagna, N. Noceti, L. Rosasco, K. Zhang, F. Locatello, in:, 2nd Conference on Causal Learning and Reasoning, 2023.","ama":"Montagna F, Noceti N, Rosasco L, Zhang K, Locatello F. Scalable causal discovery with score matching. In: <i>2nd Conference on Causal Learning and Reasoning</i>. ; 2023.","ieee":"F. Montagna, N. Noceti, L. Rosasco, K. Zhang, and F. Locatello, “Scalable causal discovery with score matching,” in <i>2nd Conference on Causal Learning and Reasoning</i>, Tübingen, Germany, 2023."},"scopus_import":"1","main_file_link":[{"url":"https://arxiv.org/abs/2304.03382","open_access":"1"}],"article_processing_charge":"No","language":[{"iso":"eng"}],"department":[{"_id":"FrLo"}],"date_published":"2023-04-01T00:00:00Z","oa_version":"Preprint","type":"conference","date_created":"2023-08-22T14:19:40Z","publication":"2nd Conference on Causal Learning and Reasoning","publication_status":"published","conference":{"name":"CLeaR: Conference on Causal Learning and Reasoning","start_date":"2023-04-11","location":"Tübingen, Germany","end_date":"2023-04-14"},"month":"04","title":"Scalable causal discovery with score matching","oa":1,"status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","_id":"14212","author":[{"full_name":"Montagna, Francesco","first_name":"Francesco","last_name":"Montagna"},{"last_name":"Noceti","first_name":"Nicoletta","full_name":"Noceti, Nicoletta"},{"full_name":"Rosasco, Lorenzo","first_name":"Lorenzo","last_name":"Rosasco"},{"full_name":"Zhang, Kun","last_name":"Zhang","first_name":"Kun"},{"orcid":"0000-0002-4850-0683","first_name":"Francesco","id":"26cfd52f-2483-11ee-8040-88983bcc06d4","last_name":"Locatello","full_name":"Locatello, Francesco"}],"day":"01","year":"2023","extern":"1","date_updated":"2023-09-13T09:03:24Z","abstract":[{"lang":"eng","text":"This paper demonstrates how to discover the whole causal graph from the second derivative of the log-likelihood in observational non-linear additive Gaussian noise models. Leveraging scalable machine learning approaches to approximate the score function ∇logp(X), we extend the work of Rolland et al. (2022) that only recovers the topological order from the score and requires an expensive pruning step removing spurious edges among those admitted by the ordering. Our analysis leads to DAS (acronym for Discovery At Scale), a practical algorithm that reduces the complexity of the pruning by a factor proportional to the graph size. In practice, DAS achieves competitive accuracy with current state-of-the-art while being over an order of magnitude faster. Overall, our approach enables principled and scalable causal discovery, significantly lowering the compute bar."}],"arxiv":1},{"_id":"14214","author":[{"first_name":"Yuejiang","last_name":"Liu","full_name":"Liu, Yuejiang"},{"full_name":"Alahi, Alexandre","first_name":"Alexandre","last_name":"Alahi"},{"full_name":"Russell, Chris","first_name":"Chris","last_name":"Russell"},{"full_name":"Horn, Max","first_name":"Max","last_name":"Horn"},{"full_name":"Zietlow, Dominik","last_name":"Zietlow","first_name":"Dominik"},{"first_name":"Bernhard","last_name":"Schölkopf","full_name":"Schölkopf, Bernhard"},{"first_name":"Francesco","orcid":"0000-0002-4850-0683","id":"26cfd52f-2483-11ee-8040-88983bcc06d4","last_name":"Locatello","full_name":"Locatello, Francesco"}],"day":"12","extern":"1","year":"2023","date_updated":"2023-09-13T09:23:08Z","abstract":[{"lang":"eng","text":"Recent years have seen a surge of interest in learning high-level causal representations from low-level image pairs under interventions. Yet, existing efforts are largely limited to simple synthetic settings that are far away from real-world problems. In this paper, we present Causal Triplet, a causal representation learning benchmark featuring not only visually more complex scenes, but also two crucial desiderata commonly overlooked in previous works: (i) an actionable counterfactual setting, where only certain object-level variables allow for counterfactual observations whereas others do not; (ii) an interventional downstream task with an emphasis on out-of-distribution robustness from the independent causal mechanisms principle. Through extensive experiments, we find that models built with the knowledge of disentangled or object-centric representations significantly outperform their distributed counterparts. However, recent causal representation learning methods still struggle to identify such latent structures, indicating substantial challenges and opportunities for future work."}],"arxiv":1,"month":"04","title":"Causal triplet: An open challenge for intervention-centric causal representation learning","oa":1,"status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","language":[{"iso":"eng"}],"department":[{"_id":"FrLo"}],"date_published":"2023-04-12T00:00:00Z","oa_version":"Preprint","type":"conference","date_created":"2023-08-22T14:20:18Z","publication":"2nd Conference on Causal Learning and Reasoning","publication_status":"published","conference":{"name":"CLeaR: Conference on Causal Learning and Reasoning","start_date":"2023-04-11","location":"Tübingen, Germany","end_date":"2023-04-14"},"external_id":{"arxiv":["2301.05169"]},"quality_controlled":"1","citation":{"chicago":"Liu, Yuejiang, Alexandre Alahi, Chris Russell, Max Horn, Dominik Zietlow, Bernhard Schölkopf, and Francesco Locatello. “Causal Triplet: An Open Challenge for Intervention-Centric Causal Representation Learning.” In <i>2nd Conference on Causal Learning and Reasoning</i>, 2023.","apa":"Liu, Y., Alahi, A., Russell, C., Horn, M., Zietlow, D., Schölkopf, B., &#38; Locatello, F. (2023). Causal triplet: An open challenge for intervention-centric causal representation learning. In <i>2nd Conference on Causal Learning and Reasoning</i>. Tübingen, Germany.","ista":"Liu Y, Alahi A, Russell C, Horn M, Zietlow D, Schölkopf B, Locatello F. 2023. Causal triplet: An open challenge for intervention-centric causal representation learning. 2nd Conference on Causal Learning and Reasoning. CLeaR: Conference on Causal Learning and Reasoning.","mla":"Liu, Yuejiang, et al. “Causal Triplet: An Open Challenge for Intervention-Centric Causal Representation Learning.” <i>2nd Conference on Causal Learning and Reasoning</i>, 2023.","ieee":"Y. Liu <i>et al.</i>, “Causal triplet: An open challenge for intervention-centric causal representation learning,” in <i>2nd Conference on Causal Learning and Reasoning</i>, Tübingen, Germany, 2023.","ama":"Liu Y, Alahi A, Russell C, et al. Causal triplet: An open challenge for intervention-centric causal representation learning. In: <i>2nd Conference on Causal Learning and Reasoning</i>. ; 2023.","short":"Y. Liu, A. Alahi, C. Russell, M. Horn, D. Zietlow, B. Schölkopf, F. Locatello, in:, 2nd Conference on Causal Learning and Reasoning, 2023."},"main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2301.05169","open_access":"1"}],"article_processing_charge":"No"},{"author":[{"first_name":"Luca","last_name":"Moschella","full_name":"Moschella, Luca"},{"first_name":"Valentino","last_name":"Maiorca","full_name":"Maiorca, Valentino"},{"first_name":"Marco","last_name":"Fumero","full_name":"Fumero, Marco"},{"full_name":"Norelli, Antonio","last_name":"Norelli","first_name":"Antonio"},{"full_name":"Locatello, Francesco","orcid":"0000-0002-4850-0683","first_name":"Francesco","last_name":"Locatello","id":"26cfd52f-2483-11ee-8040-88983bcc06d4"},{"full_name":"Rodolà, Emanuele","last_name":"Rodolà","first_name":"Emanuele"}],"_id":"14217","date_updated":"2023-09-13T09:44:26Z","abstract":[{"lang":"eng","text":"Neural networks embed the geometric structure of a data manifold lying in a high-dimensional space into latent representations. Ideally, the distribution of the data points in the latent space should depend only on the task, the data, the loss, and other architecture-specific constraints. However, factors such as the random weights initialization, training hyperparameters, or other sources of randomness in the training phase may induce incoherent latent spaces that hinder any form of reuse. Nevertheless, we empirically observe that, under the same data and modeling choices, the angles between the encodings within distinct latent spaces do not change. In this work, we propose the latent similarity between each sample and a fixed set of anchors as an alternative data representation, demonstrating that it can enforce the desired invariances without any additional training. We show how neural architectures can leverage these relative representations to guarantee, in practice, invariance to latent isometries and rescalings, effectively enabling latent space communication: from zero-shot model stitching to latent space comparison between diverse settings. We extensively validate the generalization capability of our approach on different datasets, spanning various modalities (images, text, graphs), tasks (e.g., classification, reconstruction) and architectures (e.g., CNNs, GCNs, transformers)."}],"arxiv":1,"day":"01","extern":"1","year":"2023","month":"05","status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Relative representations enable zero-shot latent space communication","oa":1,"oa_version":"Preprint","type":"conference","language":[{"iso":"eng"}],"date_published":"2023-05-01T00:00:00Z","department":[{"_id":"FrLo"}],"conference":{"end_date":"2023-05-05","location":"Kigali, Rwanda","start_date":"2023-05-01","name":"International Conference on Machine Learning Representations"},"publication_status":"published","date_created":"2023-08-22T14:22:20Z","publication":"The 11th International Conference on Learning Representations","external_id":{"arxiv":["2209.15430"]},"quality_controlled":"1","citation":{"short":"L. Moschella, V. Maiorca, M. Fumero, A. Norelli, F. Locatello, E. Rodolà, in:, The 11th International Conference on Learning Representations, 2023.","ieee":"L. Moschella, V. Maiorca, M. Fumero, A. Norelli, F. Locatello, and E. Rodolà, “Relative representations enable zero-shot latent space communication,” in <i>The 11th International Conference on Learning Representations</i>, Kigali, Rwanda, 2023.","ama":"Moschella L, Maiorca V, Fumero M, Norelli A, Locatello F, Rodolà E. Relative representations enable zero-shot latent space communication. In: <i>The 11th International Conference on Learning Representations</i>. ; 2023.","chicago":"Moschella, Luca, Valentino Maiorca, Marco Fumero, Antonio Norelli, Francesco Locatello, and Emanuele Rodolà. “Relative Representations Enable Zero-Shot Latent Space Communication.” In <i>The 11th International Conference on Learning Representations</i>, 2023.","mla":"Moschella, Luca, et al. “Relative Representations Enable Zero-Shot Latent Space Communication.” <i>The 11th International Conference on Learning Representations</i>, 2023.","apa":"Moschella, L., Maiorca, V., Fumero, M., Norelli, A., Locatello, F., &#38; Rodolà, E. (2023). Relative representations enable zero-shot latent space communication. In <i>The 11th International Conference on Learning Representations</i>. Kigali, Rwanda.","ista":"Moschella L, Maiorca V, Fumero M, Norelli A, Locatello F, Rodolà E. 2023. Relative representations enable zero-shot latent space communication. The 11th International Conference on Learning Representations. International Conference on Machine Learning Representations."},"main_file_link":[{"url":"https://arxiv.org/abs/2209.15430","open_access":"1"}],"article_processing_charge":"No"},{"publication_status":"published","conference":{"location":"Kigali, Rwanda","end_date":"2023-05-05","name":"ICLR: International Conference on Learning Representations","start_date":"2023-05-01"},"date_created":"2023-08-22T14:22:41Z","publication":"The 11th International Conference on Learning Representations","oa_version":"Preprint","type":"conference","language":[{"iso":"eng"}],"department":[{"_id":"FrLo"}],"date_published":"2023-05-10T00:00:00Z","main_file_link":[{"url":"https://arxiv.org/abs/2209.14860","open_access":"1"}],"article_processing_charge":"No","external_id":{"arxiv":["2209.14860"]},"citation":{"ama":"Seitzer M, Horn M, Zadaianchuk A, et al. Bridging the gap to real-world object-centric learning. In: <i>The 11th International Conference on Learning Representations</i>. ; 2023.","ieee":"M. Seitzer <i>et al.</i>, “Bridging the gap to real-world object-centric learning,” in <i>The 11th International Conference on Learning Representations</i>, Kigali, Rwanda, 2023.","short":"M. Seitzer, M. Horn, A. Zadaianchuk, D. Zietlow, T. Xiao, C.-J.S.-G. Carl-Johann Simon-Gabriel, T. He, Z. Zhang, B. Schölkopf, T. Brox, F. Locatello, in:, The 11th International Conference on Learning Representations, 2023.","chicago":"Seitzer, Maximilian, Max Horn, Andrii Zadaianchuk, Dominik Zietlow, Tianjun Xiao, Carl-Johann Simon-Gabriel Carl-Johann Simon-Gabriel, Tong He, et al. “Bridging the Gap to Real-World Object-Centric Learning.” In <i>The 11th International Conference on Learning Representations</i>, 2023.","apa":"Seitzer, M., Horn, M., Zadaianchuk, A., Zietlow, D., Xiao, T., Carl-Johann Simon-Gabriel, C.-J. S.-G., … Locatello, F. (2023). Bridging the gap to real-world object-centric learning. In <i>The 11th International Conference on Learning Representations</i>. Kigali, Rwanda.","ista":"Seitzer M, Horn M, Zadaianchuk A, Zietlow D, Xiao T, Carl-Johann Simon-Gabriel C-JS-G, He T, Zhang Z, Schölkopf B, Brox T, Locatello F. 2023. Bridging the gap to real-world object-centric learning. The 11th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.","mla":"Seitzer, Maximilian, et al. “Bridging the Gap to Real-World Object-Centric Learning.” <i>The 11th International Conference on Learning Representations</i>, 2023."},"quality_controlled":"1","date_updated":"2023-09-13T11:37:03Z","arxiv":1,"abstract":[{"text":"Humans naturally decompose their environment into entities at the appropriate level of abstraction to act in the world. Allowing machine learning algorithms to derive this decomposition in an unsupervised way has become an important line of research. However, current methods are restricted to simulated data or require additional information in the form of motion or depth in order to successfully discover objects. In this work, we overcome this limitation by showing that reconstructing features from models trained in a self-supervised manner is a sufficient training signal for object-centric representations to arise in a fully unsupervised way. Our approach, DINOSAUR, significantly out-performs existing image-based object-centric learning models on simulated data and is the first unsupervised object-centric model that scales to real-world datasets such as COCO and PASCAL VOC. DINOSAUR is conceptually simple and shows competitive performance compared to more involved pipelines from the computer vision literature.","lang":"eng"}],"day":"10","year":"2023","extern":"1","author":[{"full_name":"Seitzer, Maximilian","first_name":"Maximilian","last_name":"Seitzer"},{"full_name":"Horn, Max","first_name":"Max","last_name":"Horn"},{"full_name":"Zadaianchuk, Andrii","first_name":"Andrii","last_name":"Zadaianchuk"},{"last_name":"Zietlow","first_name":"Dominik","full_name":"Zietlow, Dominik"},{"full_name":"Xiao, Tianjun","first_name":"Tianjun","last_name":"Xiao"},{"first_name":"Carl-Johann Simon-Gabriel","last_name":"Carl-Johann Simon-Gabriel","full_name":"Carl-Johann Simon-Gabriel, Carl-Johann Simon-Gabriel"},{"last_name":"He","first_name":"Tong","full_name":"He, Tong"},{"first_name":"Zheng","last_name":"Zhang","full_name":"Zhang, Zheng"},{"last_name":"Schölkopf","first_name":"Bernhard","full_name":"Schölkopf, Bernhard"},{"full_name":"Brox, Thomas","last_name":"Brox","first_name":"Thomas"},{"full_name":"Locatello, Francesco","orcid":"0000-0002-4850-0683","first_name":"Francesco","last_name":"Locatello","id":"26cfd52f-2483-11ee-8040-88983bcc06d4"}],"_id":"14218","status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Bridging the gap to real-world object-centric learning","oa":1,"month":"05"},{"main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2207.05027"}],"article_processing_charge":"No","external_id":{"arxiv":["2207.05027"]},"quality_controlled":"1","citation":{"ama":"Zadaianchuk A, Kleindessner M, Zhu Y, Locatello F, Brox T. Unsupervised semantic segmentation with self-supervised object-centric representations. In: <i>The 11th International Conference on Learning Representations</i>. ; 2023.","ieee":"A. Zadaianchuk, M. Kleindessner, Y. Zhu, F. Locatello, and T. Brox, “Unsupervised semantic segmentation with self-supervised object-centric representations,” in <i>The 11th International Conference on Learning Representations</i>, Kigali, Rwanda, 2023.","short":"A. Zadaianchuk, M. Kleindessner, Y. Zhu, F. Locatello, T. Brox, in:, The 11th International Conference on Learning Representations, 2023.","ista":"Zadaianchuk A, Kleindessner M, Zhu Y, Locatello F, Brox T. 2023. Unsupervised semantic segmentation with self-supervised object-centric representations. The 11th International Conference on Learning Representations. ICLR: International Conference on Learning Representations.","apa":"Zadaianchuk, A., Kleindessner, M., Zhu, Y., Locatello, F., &#38; Brox, T. (2023). Unsupervised semantic segmentation with self-supervised object-centric representations. In <i>The 11th International Conference on Learning Representations</i>. Kigali, Rwanda.","mla":"Zadaianchuk, Andrii, et al. “Unsupervised Semantic Segmentation with Self-Supervised Object-Centric Representations.” <i>The 11th International Conference on Learning Representations</i>, 2023.","chicago":"Zadaianchuk, Andrii, Matthaeus Kleindessner, Yi Zhu, Francesco Locatello, and Thomas Brox. “Unsupervised Semantic Segmentation with Self-Supervised Object-Centric Representations.” In <i>The 11th International Conference on Learning Representations</i>, 2023."},"date_created":"2023-08-22T14:22:58Z","publication":"The 11th International Conference on Learning Representations","conference":{"start_date":"2023-05-01","name":"ICLR: International Conference on Learning Representations","end_date":"2023-05-05","location":"Kigali, Rwanda"},"publication_status":"published","language":[{"iso":"eng"}],"department":[{"_id":"FrLo"}],"date_published":"2023-05-01T00:00:00Z","oa_version":"Preprint","type":"conference","title":"Unsupervised semantic segmentation with self-supervised object-centric representations","oa":1,"status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"05","day":"01","year":"2023","extern":"1","date_updated":"2023-09-13T11:25:43Z","abstract":[{"text":"In this paper, we show that recent advances in self-supervised feature\r\nlearning enable unsupervised object discovery and semantic segmentation with a\r\nperformance that matches the state of the field on supervised semantic\r\nsegmentation 10 years ago. We propose a methodology based on unsupervised\r\nsaliency masks and self-supervised feature clustering to kickstart object\r\ndiscovery followed by training a semantic segmentation network on pseudo-labels\r\nto bootstrap the system on images with multiple objects. We present results on\r\nPASCAL VOC that go far beyond the current state of the art (50.0 mIoU), and we\r\nreport for the first time results on MS COCO for the whole set of 81 classes:\r\nour method discovers 34 categories with more than $20\\%$ IoU, while obtaining\r\nan average IoU of 19.6 for all 81 categories.","lang":"eng"}],"arxiv":1,"_id":"14219","author":[{"full_name":"Zadaianchuk, Andrii","first_name":"Andrii","last_name":"Zadaianchuk"},{"last_name":"Kleindessner","first_name":"Matthaeus","full_name":"Kleindessner, Matthaeus"},{"full_name":"Zhu, Yi","last_name":"Zhu","first_name":"Yi"},{"full_name":"Locatello, Francesco","id":"26cfd52f-2483-11ee-8040-88983bcc06d4","last_name":"Locatello","first_name":"Francesco","orcid":"0000-0002-4850-0683"},{"first_name":"Thomas","last_name":"Brox","full_name":"Brox, Thomas"}]},{"day":"15","extern":"1","year":"2023","date_updated":"2023-09-13T11:31:14Z","arxiv":1,"abstract":[{"lang":"eng","text":"Learning generative object models from unlabelled videos is a long standing problem and required for causal scene modeling. We decompose this problem into three easier subtasks, and provide candidate solutions for each of them. Inspired by the Common Fate Principle of Gestalt Psychology, we first extract (noisy) masks of moving objects via unsupervised motion segmentation. Second, generative models are trained on the masks of the background and the moving objects, respectively. Third, background and foreground models are combined in a conditional \"dead leaves\" scene model to sample novel scene configurations where occlusions and depth layering arise naturally. To evaluate the individual stages, we introduce the Fishbowl dataset positioned between complex real-world scenes and common object-centric benchmarks of simplistic objects. We show that our approach allows learning generative models that generalize beyond the occlusions present in the input videos, and represent scenes in a modular fashion that allows sampling plausible scenes outside the training distribution by permitting, for instance, object numbers or densities not observed in the training set."}],"_id":"14222","article_number":"2110.06562","author":[{"first_name":"Matthias","last_name":"Tangemann","full_name":"Tangemann, Matthias"},{"full_name":"Schneider, Steffen","first_name":"Steffen","last_name":"Schneider"},{"full_name":"Kügelgen, Julius von","first_name":"Julius von","last_name":"Kügelgen"},{"id":"26cfd52f-2483-11ee-8040-88983bcc06d4","last_name":"Locatello","orcid":"0000-0002-4850-0683","first_name":"Francesco","full_name":"Locatello, Francesco"},{"first_name":"Peter","last_name":"Gehler","full_name":"Gehler, Peter"},{"full_name":"Brox, Thomas","last_name":"Brox","first_name":"Thomas"},{"full_name":"Kümmerer, Matthias","first_name":"Matthias","last_name":"Kümmerer"},{"full_name":"Bethge, Matthias","last_name":"Bethge","first_name":"Matthias"},{"last_name":"Schölkopf","first_name":"Bernhard","full_name":"Schölkopf, Bernhard"}],"title":"Unsupervised object learning via common fate","oa":1,"status":"public","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","month":"04","date_created":"2023-08-22T14:23:54Z","publication":"2nd Conference on Causal Learning and Reasoning","conference":{"start_date":"2023-04-11","name":"CLeaR: Conference on Causal Learning and Reasoning","end_date":"2023-04-14","location":"Tübingen, Germany"},"publication_status":"published","language":[{"iso":"eng"}],"department":[{"_id":"FrLo"}],"date_published":"2023-04-15T00:00:00Z","oa_version":"Preprint","type":"conference","main_file_link":[{"open_access":"1","url":"https://arxiv.org/abs/2110.06562"}],"article_processing_charge":"No","external_id":{"arxiv":["2110.06562"]},"citation":{"ieee":"M. Tangemann <i>et al.</i>, “Unsupervised object learning via common fate,” in <i>2nd Conference on Causal Learning and Reasoning</i>, Tübingen, Germany, 2023.","ama":"Tangemann M, Schneider S, Kügelgen J von, et al. Unsupervised object learning via common fate. In: <i>2nd Conference on Causal Learning and Reasoning</i>. ; 2023.","short":"M. Tangemann, S. Schneider, J. von Kügelgen, F. Locatello, P. Gehler, T. Brox, M. Kümmerer, M. Bethge, B. Schölkopf, in:, 2nd Conference on Causal Learning and Reasoning, 2023.","ista":"Tangemann M, Schneider S, Kügelgen J von, Locatello F, Gehler P, Brox T, Kümmerer M, Bethge M, Schölkopf B. 2023. Unsupervised object learning via common fate. 2nd Conference on Causal Learning and Reasoning. CLeaR: Conference on Causal Learning and Reasoning, 2110.06562.","apa":"Tangemann, M., Schneider, S., Kügelgen, J. von, Locatello, F., Gehler, P., Brox, T., … Schölkopf, B. (2023). Unsupervised object learning via common fate. In <i>2nd Conference on Causal Learning and Reasoning</i>. Tübingen, Germany.","mla":"Tangemann, Matthias, et al. “Unsupervised Object Learning via Common Fate.” <i>2nd Conference on Causal Learning and Reasoning</i>, 2110.06562, 2023.","chicago":"Tangemann, Matthias, Steffen Schneider, Julius von Kügelgen, Francesco Locatello, Peter Gehler, Thomas Brox, Matthias Kümmerer, Matthias Bethge, and Bernhard Schölkopf. “Unsupervised Object Learning via Common Fate.” In <i>2nd Conference on Causal Learning and Reasoning</i>, 2023."},"quality_controlled":"1"},{"article_processing_charge":"No","type":"dissertation","department":[{"_id":"GradSch"},{"_id":"HeEd"}],"language":[{"iso":"eng"}],"has_accepted_license":"1","date_created":"2023-08-24T13:01:18Z","page":"43","degree_awarded":"MS","alternative_title":["ISTA Master's Thesis"],"supervisor":[{"full_name":"Edelsbrunner, Herbert","last_name":"Edelsbrunner","id":"3FB178DA-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-9823-6833","first_name":"Herbert"}],"user_id":"8b945eb4-e2f2-11eb-945a-df72226e66a9","publisher":"Institute of Science and Technology Austria","title":"Generalizing medial axes with homology switches","author":[{"full_name":"Stephenson, Elizabeth R","id":"2D04F932-F248-11E8-B48F-1D18A9856A87","last_name":"Stephenson","orcid":"0000-0002-6862-208X","first_name":"Elizabeth R"}],"file":[{"date_created":"2023-08-24T13:02:49Z","date_updated":"2024-02-26T23:30:03Z","file_name":"documents-export-2023-08-24.zip","access_level":"closed","checksum":"453caf851d75c3478c10ed09bd242a91","file_id":"14227","creator":"cchlebak","file_size":15501411,"content_type":"application/x-zip-compressed","relation":"source_file","embargo_to":"open_access"},{"file_name":"thesis_pdf_a.pdf","date_updated":"2024-02-26T23:30:03Z","date_created":"2023-08-24T13:03:42Z","creator":"cchlebak","file_id":"14228","checksum":"7349d29963d6695e555e171748648d9a","access_level":"open_access","content_type":"application/pdf","relation":"main_file","embargo":"2024-02-25","file_size":6854783}],"day":"24","citation":{"mla":"Stephenson, Elizabeth R. <i>Generalizing Medial Axes with Homology Switches</i>. Institute of Science and Technology Austria, 2023, doi:<a href=\"https://doi.org/10.15479/at:ista:14226\">10.15479/at:ista:14226</a>.","apa":"Stephenson, E. R. (2023). <i>Generalizing medial axes with homology switches</i>. Institute of Science and Technology Austria. <a href=\"https://doi.org/10.15479/at:ista:14226\">https://doi.org/10.15479/at:ista:14226</a>","ista":"Stephenson ER. 2023. Generalizing medial axes with homology switches. Institute of Science and Technology Austria.","chicago":"Stephenson, Elizabeth R. “Generalizing Medial Axes with Homology Switches.” Institute of Science and Technology Austria, 2023. <a href=\"https://doi.org/10.15479/at:ista:14226\">https://doi.org/10.15479/at:ista:14226</a>.","ieee":"E. R. Stephenson, “Generalizing medial axes with homology switches,” Institute of Science and Technology Austria, 2023.","ama":"Stephenson ER. Generalizing medial axes with homology switches. 2023. doi:<a href=\"https://doi.org/10.15479/at:ista:14226\">10.15479/at:ista:14226</a>","short":"E.R. Stephenson, Generalizing Medial Axes with Homology Switches, Institute of Science and Technology Austria, 2023."},"file_date_updated":"2024-02-26T23:30:03Z","ddc":["500"],"oa_version":"Published Version","date_published":"2023-08-24T00:00:00Z","doi":"10.15479/at:ista:14226","publication_status":"published","month":"08","status":"public","oa":1,"publication_identifier":{"issn":["2791-4585"]},"_id":"14226","abstract":[{"text":"We introduce the notion of a Faustian interchange in a 1-parameter family of smooth\r\nfunctions to generalize the medial axis to critical points of index larger than 0.\r\nWe construct and implement a general purpose algorithm for approximating such\r\ngeneralized medial axes.","lang":"eng"}],"date_updated":"2024-02-26T23:30:04Z","year":"2023"},{"date_created":"2023-08-27T22:01:16Z","publication":"Physical Review Letters","type":"journal_article","language":[{"iso":"eng"}],"department":[{"_id":"MiLe"}],"article_processing_charge":"No","article_type":"original","external_id":{"isi":["001101784100001"],"arxiv":["2308.15247"],"pmid":["37595218"]},"quality_controlled":"1","volume":131,"acknowledgement":"H. S. acknowledges support from The Villum Foundation through a Villum Investigator Grant No. 25886. M. L. acknowledges support by the European Research Council (ERC) Starting Grant No. 801770 (ANGULON). F. J. and R. E. Z. acknowledge support from the Centre for Scientific Computing, Aarhus and the JKU scientific computing administration, Linz, respectively.","pmid":1,"day":"04","project":[{"_id":"2688CF98-B435-11E9-9278-68D0E5697425","grant_number":"801770","name":"Angulon: physics and applications of a new quasiparticle","call_identifier":"H2020"}],"isi":1,"author":[{"last_name":"Kranabetter","first_name":"Lorenz","full_name":"Kranabetter, Lorenz"},{"full_name":"Kristensen, Henrik H.","last_name":"Kristensen","first_name":"Henrik H."},{"last_name":"Ghazaryan","id":"4AF46FD6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-9666-3543","first_name":"Areg","full_name":"Ghazaryan, Areg"},{"full_name":"Schouder, Constant A.","last_name":"Schouder","first_name":"Constant A."},{"full_name":"Chatterley, Adam S.","last_name":"Chatterley","first_name":"Adam S."},{"full_name":"Janssen, Paul","first_name":"Paul","last_name":"Janssen"},{"first_name":"Frank","last_name":"Jensen","full_name":"Jensen, Frank"},{"first_name":"Robert E.","last_name":"Zillich","full_name":"Zillich, Robert E."},{"orcid":"0000-0002-6990-7802","first_name":"Mikhail","id":"37CB05FA-F248-11E8-B48F-1D18A9856A87","last_name":"Lemeshko","full_name":"Lemeshko, Mikhail"},{"last_name":"Stapelfeldt","first_name":"Henrik","full_name":"Stapelfeldt, Henrik"}],"publisher":"American Physical Society","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Nonadiabatic laser-induced alignment dynamics of molecules on a surface","publication_status":"published","doi":"10.1103/PhysRevLett.131.053201","oa_version":"Preprint","date_published":"2023-08-04T00:00:00Z","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2308.15247"}],"scopus_import":"1","citation":{"mla":"Kranabetter, Lorenz, et al. “Nonadiabatic Laser-Induced Alignment Dynamics of Molecules on a Surface.” <i>Physical Review Letters</i>, vol. 131, no. 5, 053201, American Physical Society, 2023, doi:<a href=\"https://doi.org/10.1103/PhysRevLett.131.053201\">10.1103/PhysRevLett.131.053201</a>.","ista":"Kranabetter L, Kristensen HH, Ghazaryan A, Schouder CA, Chatterley AS, Janssen P, Jensen F, Zillich RE, Lemeshko M, Stapelfeldt H. 2023. Nonadiabatic laser-induced alignment dynamics of molecules on a surface. Physical Review Letters. 131(5), 053201.","apa":"Kranabetter, L., Kristensen, H. H., Ghazaryan, A., Schouder, C. A., Chatterley, A. S., Janssen, P., … Stapelfeldt, H. (2023). Nonadiabatic laser-induced alignment dynamics of molecules on a surface. <i>Physical Review Letters</i>. American Physical Society. <a href=\"https://doi.org/10.1103/PhysRevLett.131.053201\">https://doi.org/10.1103/PhysRevLett.131.053201</a>","chicago":"Kranabetter, Lorenz, Henrik H. Kristensen, Areg Ghazaryan, Constant A. Schouder, Adam S. Chatterley, Paul Janssen, Frank Jensen, Robert E. Zillich, Mikhail Lemeshko, and Henrik Stapelfeldt. “Nonadiabatic Laser-Induced Alignment Dynamics of Molecules on a Surface.” <i>Physical Review Letters</i>. American Physical Society, 2023. <a href=\"https://doi.org/10.1103/PhysRevLett.131.053201\">https://doi.org/10.1103/PhysRevLett.131.053201</a>.","short":"L. Kranabetter, H.H. Kristensen, A. Ghazaryan, C.A. Schouder, A.S. Chatterley, P. Janssen, F. Jensen, R.E. Zillich, M. Lemeshko, H. Stapelfeldt, Physical Review Letters 131 (2023).","ama":"Kranabetter L, Kristensen HH, Ghazaryan A, et al. Nonadiabatic laser-induced alignment dynamics of molecules on a surface. <i>Physical Review Letters</i>. 2023;131(5). doi:<a href=\"https://doi.org/10.1103/PhysRevLett.131.053201\">10.1103/PhysRevLett.131.053201</a>","ieee":"L. Kranabetter <i>et al.</i>, “Nonadiabatic laser-induced alignment dynamics of molecules on a surface,” <i>Physical Review Letters</i>, vol. 131, no. 5. American Physical Society, 2023."},"intvolume":"       131","date_updated":"2023-12-13T12:18:54Z","issue":"5","arxiv":1,"abstract":[{"lang":"eng","text":"We demonstrate that a sodium dimer, Na2(13Σ+u), residing on the surface of a helium nanodroplet, can be set into rotation by a nonresonant 1.0 ps infrared laser pulse. The time-dependent degree of alignment measured, exhibits a periodic, gradually decreasing structure that deviates qualitatively from that expected for gas-phase dimers. Comparison to alignment dynamics calculated from the time-dependent rotational Schrödinger equation shows that the deviation is due to the alignment dependent interaction between the dimer and the droplet surface. This interaction confines the dimer to the tangential plane of the droplet surface at the point where it resides and is the reason that the observed alignment dynamics is also well described by a 2D quantum rotor model."}],"year":"2023","article_number":"053201","_id":"14238","status":"public","oa":1,"publication_identifier":{"issn":["0031-9007"],"eissn":["1079-7114"]},"month":"08","ec_funded":1},{"_id":"14239","article_number":"e66","year":"2023","abstract":[{"text":"Given a resolution of rational singularities  π:X~→X  over a field of characteristic zero, we use a Hodge-theoretic argument to prove that the image of the functor  Rπ∗:Db(X~)→Db(X)\r\n  between bounded derived categories of coherent sheaves generates  Db(X)\r\n  as a triangulated category. This gives a weak version of the Bondal–Orlov localization conjecture [BO02], answering a question from [PS21]. The same result is established more generally for proper (not necessarily birational) morphisms  π:X~→X , with  X~\r\n  smooth, satisfying  Rπ∗(OX~)=OX .","lang":"eng"}],"arxiv":1,"date_updated":"2023-12-13T12:18:18Z","ec_funded":1,"month":"08","oa":1,"publication_identifier":{"eissn":["2050-5094"]},"status":"public","date_published":"2023-08-03T00:00:00Z","oa_version":"Published Version","doi":"10.1017/fms.2023.65","publication_status":"published","intvolume":"        11","citation":{"ieee":"M. Mauri and E. Shinder, “Homological Bondal-Orlov localization conjecture for rational singularities,” <i>Forum of Mathematics, Sigma</i>, vol. 11. Cambridge University Press, 2023.","ama":"Mauri M, Shinder E. Homological Bondal-Orlov localization conjecture for rational singularities. <i>Forum of Mathematics, Sigma</i>. 2023;11. doi:<a href=\"https://doi.org/10.1017/fms.2023.65\">10.1017/fms.2023.65</a>","short":"M. Mauri, E. Shinder, Forum of Mathematics, Sigma 11 (2023).","mla":"Mauri, Mirko, and Evgeny Shinder. “Homological Bondal-Orlov Localization Conjecture for Rational Singularities.” <i>Forum of Mathematics, Sigma</i>, vol. 11, e66, Cambridge University Press, 2023, doi:<a href=\"https://doi.org/10.1017/fms.2023.65\">10.1017/fms.2023.65</a>.","apa":"Mauri, M., &#38; Shinder, E. (2023). Homological Bondal-Orlov localization conjecture for rational singularities. <i>Forum of Mathematics, Sigma</i>. Cambridge University Press. <a href=\"https://doi.org/10.1017/fms.2023.65\">https://doi.org/10.1017/fms.2023.65</a>","ista":"Mauri M, Shinder E. 2023. Homological Bondal-Orlov localization conjecture for rational singularities. Forum of Mathematics, Sigma. 11, e66.","chicago":"Mauri, Mirko, and Evgeny Shinder. “Homological Bondal-Orlov Localization Conjecture for Rational Singularities.” <i>Forum of Mathematics, Sigma</i>. Cambridge University Press, 2023. <a href=\"https://doi.org/10.1017/fms.2023.65\">https://doi.org/10.1017/fms.2023.65</a>."},"ddc":["510"],"scopus_import":"1","file_date_updated":"2023-09-05T06:43:11Z","file":[{"file_size":280865,"success":1,"content_type":"application/pdf","relation":"main_file","date_created":"2023-09-05T06:43:11Z","date_updated":"2023-09-05T06:43:11Z","file_name":"2023_ForumMathematics_Mauri.pdf","access_level":"open_access","file_id":"14266","checksum":"c36241750cc5cb06890aec0ecdfee626","creator":"dernst"}],"isi":1,"author":[{"first_name":"Mirko","last_name":"Mauri","id":"2cf70c34-09c1-11ed-bd8d-c34fac206130","full_name":"Mauri, Mirko"},{"first_name":"Evgeny","last_name":"Shinder","full_name":"Shinder, Evgeny"}],"project":[{"_id":"fc2ed2f7-9c52-11eb-aca3-c01059dda49c","grant_number":"101034413","name":"IST-BRIDGE: International postdoctoral program","call_identifier":"H2020"}],"tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"day":"03","acknowledgement":"We thank Agnieszka Bodzenta-Skibińska, Paolo Cascini, Wahei Hara, Sándor Kovács, Alexander Kuznetsov, Mircea Musta  ă, Nebojsa Pavic, Pavel Sechin, and Michael Wemyss for discussions and e-mail correspondence. We also thank the anonymous referee for the helpful comments. M.M. was supported by the Institute of Science and Technology Austria. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement no. 101034413. E.S. was partially supported by the EPSRC grant EP/T019379/1 “Derived categories and algebraic K-theory of singularities”, and by the ERC Synergy grant “Modern Aspects of Geometry: Categories, Cycles and Cohomology of Hyperkähler Varieties.”\r\n\r\n","title":"Homological Bondal-Orlov localization conjecture for rational singularities","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Cambridge University Press","department":[{"_id":"TaHa"}],"language":[{"iso":"eng"}],"type":"journal_article","publication":"Forum of Mathematics, Sigma","date_created":"2023-08-27T22:01:16Z","has_accepted_license":"1","volume":11,"quality_controlled":"1","external_id":{"isi":["001041926700001"],"arxiv":["2212.06786"]},"article_processing_charge":"Yes","article_type":"original"},{"doi":"10.1145/3592098","publication_status":"published","oa_version":"Published Version","date_published":"2023-08-01T00:00:00Z","file_date_updated":"2024-01-02T09:34:27Z","scopus_import":"1","ddc":["000"],"citation":{"ista":"Jeschke S, Wojtan C. 2023. Generalizing shallow water simulations with dispersive surface waves. ACM Transactions on Graphics. 42(4), 83.","apa":"Jeschke, S., &#38; Wojtan, C. (2023). Generalizing shallow water simulations with dispersive surface waves. <i>ACM Transactions on Graphics</i>. Association for Computing Machinery. <a href=\"https://doi.org/10.1145/3592098\">https://doi.org/10.1145/3592098</a>","mla":"Jeschke, Stefan, and Chris Wojtan. “Generalizing Shallow Water Simulations with Dispersive Surface Waves.” <i>ACM Transactions on Graphics</i>, vol. 42, no. 4, 83, Association for Computing Machinery, 2023, doi:<a href=\"https://doi.org/10.1145/3592098\">10.1145/3592098</a>.","chicago":"Jeschke, Stefan, and Chris Wojtan. “Generalizing Shallow Water Simulations with Dispersive Surface Waves.” <i>ACM Transactions on Graphics</i>. Association for Computing Machinery, 2023. <a href=\"https://doi.org/10.1145/3592098\">https://doi.org/10.1145/3592098</a>.","ama":"Jeschke S, Wojtan C. Generalizing shallow water simulations with dispersive surface waves. <i>ACM Transactions on Graphics</i>. 2023;42(4). doi:<a href=\"https://doi.org/10.1145/3592098\">10.1145/3592098</a>","ieee":"S. Jeschke and C. Wojtan, “Generalizing shallow water simulations with dispersive surface waves,” <i>ACM Transactions on Graphics</i>, vol. 42, no. 4. Association for Computing Machinery, 2023.","short":"S. Jeschke, C. Wojtan, ACM Transactions on Graphics 42 (2023)."},"intvolume":"        42","issue":"4","abstract":[{"text":"This paper introduces a novel method for simulating large bodies of water as a height field. At the start of each time step, we partition the waves into a bulk flow (which approximately satisfies the assumptions of the shallow water equations) and surface waves (which approximately satisfy the assumptions of Airy wave theory). We then solve the two wave regimes separately using appropriate state-of-the-art techniques, and re-combine the resulting wave velocities at the end of each step. This strategy leads to the first heightfield wave model capable of simulating complex interactions between both deep and shallow water effects, like the waves from a boat wake sloshing up onto a beach, or a dam break producing wave interference patterns and eddies. We also analyze the numerical dispersion created by our method and derive an exact correction factor for waves at a constant water depth, giving us a numerically perfect re-creation of theoretical water wave dispersion patterns.","lang":"eng"}],"date_updated":"2024-01-02T09:35:55Z","year":"2023","acknowledged_ssus":[{"_id":"ScienComp"}],"article_number":"83","_id":"14240","status":"public","publication_identifier":{"issn":["0730-0301"],"eissn":["1557-7368"]},"oa":1,"month":"08","has_accepted_license":"1","publication":"ACM Transactions on Graphics","date_created":"2023-08-27T22:01:17Z","type":"journal_article","department":[{"_id":"ChWo"}],"language":[{"iso":"eng"}],"article_type":"original","article_processing_charge":"Yes (in subscription journal)","quality_controlled":"1","volume":42,"external_id":{"isi":["001044671300049"]},"acknowledgement":"We thank Georg Sperl for helping with early research for this paper, Mickael Ly and Yi-Lu Chen for proofreading, and members of the ISTA Visual Computing Group for general feedback. This project was funded in part by the European Research Council (ERC Consolidator Grant 101045083 CoDiNA).\r\nThe motorboat and sailboat were modeled by Sergei and the palmtrees by YadroGames. The environment map was created by Emil Persson.","tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"day":"01","isi":1,"author":[{"full_name":"Jeschke, Stefan","first_name":"Stefan","id":"44D6411A-F248-11E8-B48F-1D18A9856A87","last_name":"Jeschke"},{"full_name":"Wojtan, Christopher J","orcid":"0000-0001-6646-5546","first_name":"Christopher J","id":"3C61F1D2-F248-11E8-B48F-1D18A9856A87","last_name":"Wojtan"}],"project":[{"name":"Computational Discovery of Numerical Algorithms for Animation and Simulation of Natural Phenomena","_id":"34bc2376-11ca-11ed-8bc3-9a3b3961a088","grant_number":"101045083"}],"file":[{"access_level":"open_access","creator":"sjeschke","file_id":"14704","checksum":"1d178bb2f8011d9f5aedda6427e18c7a","date_created":"2023-12-21T12:26:40Z","date_updated":"2023-12-21T12:26:40Z","file_name":"PaperVideo_final.mp4","success":1,"file_size":511572575,"relation":"main_file","content_type":"video/mp4"},{"access_level":"open_access","creator":"dernst","checksum":"a49b2e744d5cd1276bb8b2e0ce6dc638","file_id":"14725","date_created":"2024-01-02T09:34:27Z","date_updated":"2024-01-02T09:34:27Z","file_name":"2023_ACMToG_Jeschke.pdf","file_size":7469177,"success":1,"content_type":"application/pdf","relation":"main_file"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Association for Computing Machinery","title":"Generalizing shallow water simulations with dispersive surface waves"},{"day":"23","acknowledgement":"The authors would like to thank Yuki Koyama and Takeo Igarashi for early discussions, and Yuta Yaguchi for support in 3D printing. This research is partially supported by the Israel Science Foundation grant number 1390/19.\r\n","author":[{"full_name":"Tojo, Kenji","last_name":"Tojo","first_name":"Kenji"},{"last_name":"Shamir","first_name":"Ariel","full_name":"Shamir, Ariel"},{"full_name":"Bickel, Bernd","last_name":"Bickel","id":"49876194-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0001-6511-9385","first_name":"Bernd"},{"full_name":"Umetani, Nobuyuki","last_name":"Umetani","first_name":"Nobuyuki"}],"title":"Stealth shaper: Reflectivity optimization as surface stylization","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Association for Computing Machinery","publication":"SIGGRAPH 2023 Conference Proceedings","date_created":"2023-08-27T22:01:17Z","department":[{"_id":"BeBi"}],"language":[{"iso":"eng"}],"type":"conference","article_processing_charge":"No","quality_controlled":"1","external_id":{"arxiv":["2305.05944"]},"year":"2023","arxiv":1,"abstract":[{"text":"We present a technique to optimize the reflectivity of a surface while preserving its overall shape. The naïve optimization of the mesh vertices using the gradients of reflectivity simulations results in undesirable distortion. In contrast, our robust formulation optimizes the surface normal as an independent variable that bridges the reflectivity term with differential rendering, and the regularization term with as-rigid-as-possible elastic energy. We further adaptively subdivide the input mesh to improve the convergence. Consequently, our method can minimize the retroreflectivity of a wide range of input shapes, resulting in sharply creased shapes ubiquitous among stealth aircraft and Sci-Fi vehicles. Furthermore, by changing the reward for the direction of the outgoing light directions, our method can be applied to other reflectivity design tasks, such as the optimization of architectural walls to concentrate light in a specific region. We have tested the proposed method using light-transport simulations and real-world 3D-printed objects.","lang":"eng"}],"date_updated":"2023-09-05T07:22:03Z","_id":"14241","article_number":"20","publication_identifier":{"isbn":["9798400701597"]},"oa":1,"status":"public","month":"07","doi":"10.1145/3588432.3591542","conference":{"location":"Los Angeles, CA, United States","end_date":"2023-08-10","name":"SIGGRAPH: Computer Graphics and Interactive Techniques Conference","start_date":"2023-08-06"},"publication_status":"published","date_published":"2023-07-23T00:00:00Z","oa_version":"Preprint","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.2305.05944"}],"scopus_import":"1","citation":{"ista":"Tojo K, Shamir A, Bickel B, Umetani N. 2023. Stealth shaper: Reflectivity optimization as surface stylization. SIGGRAPH 2023 Conference Proceedings. SIGGRAPH: Computer Graphics and Interactive Techniques Conference, 20.","apa":"Tojo, K., Shamir, A., Bickel, B., &#38; Umetani, N. (2023). Stealth shaper: Reflectivity optimization as surface stylization. In <i>SIGGRAPH 2023 Conference Proceedings</i>. Los Angeles, CA, United States: Association for Computing Machinery. <a href=\"https://doi.org/10.1145/3588432.3591542\">https://doi.org/10.1145/3588432.3591542</a>","mla":"Tojo, Kenji, et al. “Stealth Shaper: Reflectivity Optimization as Surface Stylization.” <i>SIGGRAPH 2023 Conference Proceedings</i>, 20, Association for Computing Machinery, 2023, doi:<a href=\"https://doi.org/10.1145/3588432.3591542\">10.1145/3588432.3591542</a>.","chicago":"Tojo, Kenji, Ariel Shamir, Bernd Bickel, and Nobuyuki Umetani. “Stealth Shaper: Reflectivity Optimization as Surface Stylization.” In <i>SIGGRAPH 2023 Conference Proceedings</i>. Association for Computing Machinery, 2023. <a href=\"https://doi.org/10.1145/3588432.3591542\">https://doi.org/10.1145/3588432.3591542</a>.","short":"K. Tojo, A. Shamir, B. Bickel, N. Umetani, in:, SIGGRAPH 2023 Conference Proceedings, Association for Computing Machinery, 2023.","ama":"Tojo K, Shamir A, Bickel B, Umetani N. Stealth shaper: Reflectivity optimization as surface stylization. In: <i>SIGGRAPH 2023 Conference Proceedings</i>. Association for Computing Machinery; 2023. doi:<a href=\"https://doi.org/10.1145/3588432.3591542\">10.1145/3588432.3591542</a>","ieee":"K. Tojo, A. Shamir, B. Bickel, and N. Umetani, “Stealth shaper: Reflectivity optimization as surface stylization,” in <i>SIGGRAPH 2023 Conference Proceedings</i>, Los Angeles, CA, United States, 2023."}},{"date_published":"2023-06-26T00:00:00Z","oa_version":"Preprint","publication_status":"published","conference":{"location":"Washington, DC, United States","end_date":"2023-02-14","name":"AAAI: Conference on Artificial Intelligence","start_date":"2023-02-07"},"doi":"10.1609/aaai.v37i12.26747","intvolume":"        37","citation":{"ama":"Lechner M, Zikelic D, Chatterjee K, Henzinger TA, Rus D. Quantization-aware interval bound propagation for training certifiably robust quantized neural networks. In: <i>Proceedings of the 37th AAAI Conference on Artificial Intelligence</i>. Vol 37. Association for the Advancement of Artificial Intelligence; 2023:14964-14973. doi:<a href=\"https://doi.org/10.1609/aaai.v37i12.26747\">10.1609/aaai.v37i12.26747</a>","ieee":"M. Lechner, D. Zikelic, K. Chatterjee, T. A. Henzinger, and D. Rus, “Quantization-aware interval bound propagation for training certifiably robust quantized neural networks,” in <i>Proceedings of the 37th AAAI Conference on Artificial Intelligence</i>, Washington, DC, United States, 2023, vol. 37, no. 12, pp. 14964–14973.","short":"M. Lechner, D. Zikelic, K. Chatterjee, T.A. Henzinger, D. Rus, in:, Proceedings of the 37th AAAI Conference on Artificial Intelligence, Association for the Advancement of Artificial Intelligence, 2023, pp. 14964–14973.","mla":"Lechner, Mathias, et al. “Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks.” <i>Proceedings of the 37th AAAI Conference on Artificial Intelligence</i>, vol. 37, no. 12, Association for the Advancement of Artificial Intelligence, 2023, pp. 14964–73, doi:<a href=\"https://doi.org/10.1609/aaai.v37i12.26747\">10.1609/aaai.v37i12.26747</a>.","ista":"Lechner M, Zikelic D, Chatterjee K, Henzinger TA, Rus D. 2023. Quantization-aware interval bound propagation for training certifiably robust quantized neural networks. Proceedings of the 37th AAAI Conference on Artificial Intelligence. AAAI: Conference on Artificial Intelligence vol. 37, 14964–14973.","apa":"Lechner, M., Zikelic, D., Chatterjee, K., Henzinger, T. A., &#38; Rus, D. (2023). Quantization-aware interval bound propagation for training certifiably robust quantized neural networks. In <i>Proceedings of the 37th AAAI Conference on Artificial Intelligence</i> (Vol. 37, pp. 14964–14973). Washington, DC, United States: Association for the Advancement of Artificial Intelligence. <a href=\"https://doi.org/10.1609/aaai.v37i12.26747\">https://doi.org/10.1609/aaai.v37i12.26747</a>","chicago":"Lechner, Mathias, Dorde Zikelic, Krishnendu Chatterjee, Thomas A Henzinger, and Daniela Rus. “Quantization-Aware Interval Bound Propagation for Training Certifiably Robust Quantized Neural Networks.” In <i>Proceedings of the 37th AAAI Conference on Artificial Intelligence</i>, 37:14964–73. Association for the Advancement of Artificial Intelligence, 2023. <a href=\"https://doi.org/10.1609/aaai.v37i12.26747\">https://doi.org/10.1609/aaai.v37i12.26747</a>."},"scopus_import":"1","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.2211.16187","open_access":"1"}],"_id":"14242","year":"2023","date_updated":"2025-07-14T09:09:56Z","arxiv":1,"abstract":[{"lang":"eng","text":"We study the problem of training and certifying adversarially robust quantized neural networks (QNNs). Quantization is a technique for making neural networks more efficient by running them using low-bit integer arithmetic and is therefore commonly adopted in industry. Recent work has shown that floating-point neural networks that have been verified to be robust can become vulnerable to adversarial attacks after quantization, and certification of the quantized representation is necessary to guarantee robustness. In this work, we present quantization-aware interval bound propagation (QA-IBP), a novel method for training robust QNNs. Inspired by advances in robust learning of non-quantized networks, our training algorithm computes the gradient of an abstract representation of the actual network. Unlike existing approaches, our method can handle the discrete semantics of QNNs. Based on QA-IBP, we also develop a complete verification procedure for verifying the adversarial robustness of QNNs, which is guaranteed to terminate and produce a correct answer. Compared to existing approaches, the key advantage of our verification procedure is that it runs entirely on GPU or other accelerator devices. We demonstrate experimentally that our approach significantly outperforms existing methods and establish the new state-of-the-art for training and certifying the robustness of QNNs."}],"issue":"12","ec_funded":1,"month":"06","oa":1,"publication_identifier":{"isbn":["9781577358800"]},"status":"public","language":[{"iso":"eng"}],"department":[{"_id":"ToHe"},{"_id":"KrCh"}],"type":"conference","page":"14964-14973","date_created":"2023-08-27T22:01:17Z","publication":"Proceedings of the 37th AAAI Conference on Artificial Intelligence","external_id":{"arxiv":["2211.16187"]},"volume":37,"quality_controlled":"1","article_processing_charge":"No","project":[{"grant_number":"101020093","_id":"62781420-2b32-11ec-9570-8d9b63373d4d","name":"Vigilant Algorithmic Monitoring of Software","call_identifier":"H2020"},{"name":"Formal Methods for Stochastic Models: Algorithms and Applications","call_identifier":"H2020","_id":"0599E47C-7A3F-11EA-A408-12923DDC885E","grant_number":"863818"},{"call_identifier":"H2020","name":"International IST Doctoral Program","grant_number":"665385","_id":"2564DBCA-B435-11E9-9278-68D0E5697425"}],"author":[{"first_name":"Mathias","id":"3DC22916-F248-11E8-B48F-1D18A9856A87","last_name":"Lechner","full_name":"Lechner, Mathias"},{"last_name":"Zikelic","id":"294AA7A6-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0002-4681-1699","first_name":"Dorde","full_name":"Zikelic, Dorde"},{"full_name":"Chatterjee, Krishnendu","first_name":"Krishnendu","orcid":"0000-0002-4561-241X","last_name":"Chatterjee","id":"2E5DCA20-F248-11E8-B48F-1D18A9856A87"},{"id":"40876CD8-F248-11E8-B48F-1D18A9856A87","last_name":"Henzinger","orcid":"0000-0002-2985-7724","first_name":"Thomas A","full_name":"Henzinger, Thomas A"},{"last_name":"Rus","first_name":"Daniela","full_name":"Rus, Daniela"}],"day":"26","acknowledgement":"This work was supported in part by the ERC-2020-AdG 101020093, ERC CoG 863818 (FoRM-SMArt) and the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 665385. Research was sponsored by the United\r\nStates Air Force Research Laboratory and the United States Air Force Artificial Intelligence Accelerator and was accomplished under Cooperative Agreement Number FA8750-19-2-\r\n1000. The views and conclusions contained in this document are those of the authors and should not be interpreted as representing the official policies, either expressed or implied,\r\nof 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\r\nnotation herein. The research was also funded in part by the AI2050 program at Schmidt Futures (Grant G-22-63172) and Capgemini SE.","title":"Quantization-aware interval bound propagation for training certifiably robust quantized neural networks","publisher":"Association for the Advancement of Artificial Intelligence","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Bidding graph games with partially-observable budgets","project":[{"_id":"0599E47C-7A3F-11EA-A408-12923DDC885E","grant_number":"863818","name":"Formal Methods for Stochastic Models: Algorithms and Applications","call_identifier":"H2020"},{"_id":"2564DBCA-B435-11E9-9278-68D0E5697425","grant_number":"665385","name":"International IST Doctoral Program","call_identifier":"H2020"}],"author":[{"last_name":"Avni","id":"463C8BC2-F248-11E8-B48F-1D18A9856A87","first_name":"Guy","orcid":"0000-0001-5588-8287","full_name":"Avni, Guy"},{"first_name":"Ismael R","last_name":"Jecker","id":"85D7C63E-7D5D-11E9-9C0F-98C4E5697425","full_name":"Jecker, Ismael R"},{"first_name":"Dorde","orcid":"0000-0002-4681-1699","last_name":"Zikelic","id":"294AA7A6-F248-11E8-B48F-1D18A9856A87","full_name":"Zikelic, Dorde"}],"acknowledgement":"This research was supported in part by ISF grant no.1679/21, by the ERC CoG 863818 (ForM-SMArt), and the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No. 665385.","day":"27","external_id":{"arxiv":["2211.13626"]},"quality_controlled":"1","volume":37,"article_processing_charge":"No","type":"conference","language":[{"iso":"eng"}],"department":[{"_id":"ToHe"},{"_id":"KrCh"}],"date_created":"2023-08-27T22:01:18Z","page":"5464-5471","publication":"Proceedings of the 37th AAAI Conference on Artificial Intelligence","month":"06","ec_funded":1,"status":"public","oa":1,"publication_identifier":{"isbn":["9781577358800"]},"_id":"14243","date_updated":"2025-07-14T09:09:56Z","arxiv":1,"issue":"5","abstract":[{"text":"Two-player zero-sum \"graph games\" are central in logic, verification, and multi-agent systems. The game proceeds by placing a token on a vertex of a graph, and allowing the players to move it 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, an auction (bidding) determines which player moves the token. So far, bidding games have only been studied as full-information games. In this work we initiate the study of partial-information bidding games: we study bidding games in which a player's initial budget is drawn from a known probability distribution. We show that while for some bidding mechanisms and objectives, it is straightforward to adapt the results from the full-information setting to the partial-information setting, for others, the analysis is significantly more challenging, requires new techniques, and gives rise to interesting results. Specifically, we study games with \"mean-payoff\" objectives in combination with \"poorman\" bidding. We construct optimal strategies for a partially-informed player who plays against a fully-informed adversary. We show that, somewhat surprisingly, the \"value\" under pure strategies does not necessarily exist in such games.","lang":"eng"}],"year":"2023","intvolume":"        37","citation":{"mla":"Avni, Guy, et al. “Bidding Graph Games with Partially-Observable Budgets.” <i>Proceedings of the 37th AAAI Conference on Artificial Intelligence</i>, vol. 37, no. 5, 2023, pp. 5464–71, doi:<a href=\"https://doi.org/10.1609/aaai.v37i5.25679\">10.1609/aaai.v37i5.25679</a>.","apa":"Avni, G., Jecker, I. R., &#38; Zikelic, D. (2023). Bidding graph games with partially-observable budgets. In <i>Proceedings of the 37th AAAI Conference on Artificial Intelligence</i> (Vol. 37, pp. 5464–5471). Washington, DC, United States. <a href=\"https://doi.org/10.1609/aaai.v37i5.25679\">https://doi.org/10.1609/aaai.v37i5.25679</a>","ista":"Avni G, Jecker IR, Zikelic D. 2023. Bidding graph games with partially-observable budgets. Proceedings of the 37th AAAI Conference on Artificial Intelligence. AAAI: Conference on Artificial Intelligence vol. 37, 5464–5471.","chicago":"Avni, Guy, Ismael R Jecker, and Dorde Zikelic. “Bidding Graph Games with Partially-Observable Budgets.” In <i>Proceedings of the 37th AAAI Conference on Artificial Intelligence</i>, 37:5464–71, 2023. <a href=\"https://doi.org/10.1609/aaai.v37i5.25679\">https://doi.org/10.1609/aaai.v37i5.25679</a>.","short":"G. Avni, I.R. Jecker, D. Zikelic, in:, Proceedings of the 37th AAAI Conference on Artificial Intelligence, 2023, pp. 5464–5471.","ieee":"G. Avni, I. R. Jecker, and D. Zikelic, “Bidding graph games with partially-observable budgets,” in <i>Proceedings of the 37th AAAI Conference on Artificial Intelligence</i>, Washington, DC, United States, 2023, vol. 37, no. 5, pp. 5464–5471.","ama":"Avni G, Jecker IR, Zikelic D. Bidding graph games with partially-observable budgets. In: <i>Proceedings of the 37th AAAI Conference on Artificial Intelligence</i>. Vol 37. ; 2023:5464-5471. doi:<a href=\"https://doi.org/10.1609/aaai.v37i5.25679\">10.1609/aaai.v37i5.25679</a>"},"main_file_link":[{"open_access":"1","url":"https://doi.org/10.1609/aaai.v37i5.25679"}],"scopus_import":"1","oa_version":"Published Version","date_published":"2023-06-27T00:00:00Z","conference":{"location":"Washington, DC, United States","end_date":"2023-02-14","name":"AAAI: Conference on Artificial Intelligence","start_date":"2023-02-07"},"publication_status":"published","doi":"10.1609/aaai.v37i5.25679"},{"oa_version":"Published Version","date_published":"2023-10-01T00:00:00Z","doi":"10.1112/plms.12555","publication_status":"published","intvolume":"       127","citation":{"ista":"Hausel T, Wong ML, Wyss D. 2023. Arithmetic and metric aspects of open de Rham spaces. Proceedings of the London Mathematical Society. 127(4), 958–1027.","mla":"Hausel, Tamás, et al. “Arithmetic and Metric Aspects of Open de Rham Spaces.” <i>Proceedings of the London Mathematical Society</i>, vol. 127, no. 4, Wiley, 2023, pp. 958–1027, doi:<a href=\"https://doi.org/10.1112/plms.12555\">10.1112/plms.12555</a>.","apa":"Hausel, T., Wong, M. L., &#38; Wyss, D. (2023). Arithmetic and metric aspects of open de Rham spaces. <i>Proceedings of the London Mathematical Society</i>. Wiley. <a href=\"https://doi.org/10.1112/plms.12555\">https://doi.org/10.1112/plms.12555</a>","chicago":"Hausel, Tamás, Michael Lennox Wong, and Dimitri Wyss. “Arithmetic and Metric Aspects of Open de Rham Spaces.” <i>Proceedings of the London Mathematical Society</i>. Wiley, 2023. <a href=\"https://doi.org/10.1112/plms.12555\">https://doi.org/10.1112/plms.12555</a>.","short":"T. Hausel, M.L. Wong, D. Wyss, Proceedings of the London Mathematical Society 127 (2023) 958–1027.","ieee":"T. Hausel, M. L. Wong, and D. Wyss, “Arithmetic and metric aspects of open de Rham spaces,” <i>Proceedings of the London Mathematical Society</i>, vol. 127, no. 4. Wiley, pp. 958–1027, 2023.","ama":"Hausel T, Wong ML, Wyss D. Arithmetic and metric aspects of open de Rham spaces. <i>Proceedings of the London Mathematical Society</i>. 2023;127(4):958-1027. doi:<a href=\"https://doi.org/10.1112/plms.12555\">10.1112/plms.12555</a>"},"scopus_import":"1","file_date_updated":"2024-01-30T12:56:00Z","ddc":["510"],"_id":"14244","issue":"4","arxiv":1,"abstract":[{"lang":"eng","text":"In this paper, we determine the motivic class — in particular, the weight polynomial and conjecturally the Poincaré polynomial — of the open de Rham space, defined and studied by Boalch, of certain moduli spaces of irregular meromorphic connections on the trivial rank \r\n bundle on P1. The computation is by motivic Fourier transform. We show that the result satisfies the purity conjecture, that is, it agrees with the pure part of the conjectured mixed Hodge polynomial of the corresponding wild character variety. We also identify the open de Rham spaces with quiver varieties with multiplicities of Yamakawa and Geiss–Leclerc–Schröer. We finish with constructing natural complete hyperkähler metrics on them, which in the four-dimensional cases are expected to be of type ALF."}],"date_updated":"2024-01-30T12:56:10Z","year":"2023","month":"10","ec_funded":1,"status":"public","publication_identifier":{"issn":["0024-6115"],"eissn":["1460-244X"]},"oa":1,"type":"journal_article","department":[{"_id":"TaHa"}],"language":[{"iso":"eng"}],"has_accepted_license":"1","publication":"Proceedings of the London Mathematical Society","page":"958-1027","date_created":"2023-08-27T22:01:18Z","quality_controlled":"1","volume":127,"external_id":{"isi":["001049312700001"],"arxiv":["1807.04057"]},"article_processing_charge":"Yes (via OA deal)","article_type":"original","isi":1,"author":[{"full_name":"Hausel, Tamás","id":"4A0666D8-F248-11E8-B48F-1D18A9856A87","last_name":"Hausel","first_name":"Tamás"},{"first_name":"Michael Lennox","last_name":"Wong","full_name":"Wong, Michael Lennox"},{"full_name":"Wyss, Dimitri","last_name":"Wyss","first_name":"Dimitri"}],"project":[{"name":"Arithmetic and physics of Higgs moduli spaces","call_identifier":"FP7","grant_number":"320593","_id":"25E549F4-B435-11E9-9278-68D0E5697425"},{"grant_number":"153627","_id":"25E6C798-B435-11E9-9278-68D0E5697425","name":"Arithmetic quantization of character and quiver varities"}],"file":[{"relation":"main_file","content_type":"application/pdf","success":1,"file_size":651335,"date_updated":"2024-01-30T12:56:00Z","file_name":"2023_ProcLondonMathSoc_Hausel.pdf","date_created":"2024-01-30T12:56:00Z","creator":"dernst","checksum":"2af4d2d6a8ae42f7d3fba0188e79ae82","file_id":"14910","access_level":"open_access"}],"acknowledgement":"We would like to thank Gergely Bérczy, Roger Bielawski, Philip Boalch, Sergey Cherkis, Andrew Dancer, Brent Doran, Eloïse Hamilton, Frances Kirwan, Bernard Leclerc, Emmanuel Letellier, Alessia Mandini, Maxence Mayrand, András Némethi, Szilárd Szabó, and Daisuke Yamakawa for discussions related to the paper. We especially thank the referee for an extensive list of very careful comments. At various stages of this project, the authors were supported by the Advanced Grant “Arithmetic and physics of Higgs moduli spaces” no. 320593 of the European Research Council, by grant no. 153627 and NCCR SwissMAP, both funded by the Swiss National Science Foundation as well as by EPF Lausanne and IST Austria. In the final stages of this project, MLW was supported by SFB/TR 45 “Periods, moduli and arithmetic of algebraic varieties,” subproject M08-10 “Moduli of vector bundles on higher-dimensional varieties.” DW was also supported by the Fondation Sciences Mathématiques de Paris, as well as public grants overseen by the Agence national de la recherche (ANR) of France as part of the Investissements d'avenir program, under reference numbers ANR-10-LABX-0098 and ANR-15-CE40-0008 (Défigéo).","day":"01","tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Wiley","title":"Arithmetic and metric aspects of open de Rham spaces"},{"doi":"10.2140/pjm.2023.324.265","publication_status":"published","date_published":"2023-07-26T00:00:00Z","oa_version":"Published Version","ddc":["510"],"file_date_updated":"2023-09-05T07:26:17Z","scopus_import":"1","citation":{"chicago":"Horesh, Tal, and Amos Nevo. “Horospherical Coordinates of Lattice Points in Hyperbolic Spaces: Effective Counting and Equidistribution.” <i>Pacific Journal of Mathematics</i>. Mathematical Sciences Publishers, 2023. <a href=\"https://doi.org/10.2140/pjm.2023.324.265\">https://doi.org/10.2140/pjm.2023.324.265</a>.","apa":"Horesh, T., &#38; Nevo, A. (2023). Horospherical coordinates of lattice points in hyperbolic spaces: Effective counting and equidistribution. <i>Pacific Journal of Mathematics</i>. Mathematical Sciences Publishers. <a href=\"https://doi.org/10.2140/pjm.2023.324.265\">https://doi.org/10.2140/pjm.2023.324.265</a>","ista":"Horesh T, Nevo A. 2023. Horospherical coordinates of lattice points in hyperbolic spaces: Effective counting and equidistribution. Pacific Journal of Mathematics. 324(2), 265–294.","mla":"Horesh, Tal, and Amos Nevo. “Horospherical Coordinates of Lattice Points in Hyperbolic Spaces: Effective Counting and Equidistribution.” <i>Pacific Journal of Mathematics</i>, vol. 324, no. 2, Mathematical Sciences Publishers, 2023, pp. 265–94, doi:<a href=\"https://doi.org/10.2140/pjm.2023.324.265\">10.2140/pjm.2023.324.265</a>.","short":"T. Horesh, A. Nevo, Pacific Journal of Mathematics 324 (2023) 265–294.","ieee":"T. Horesh and A. Nevo, “Horospherical coordinates of lattice points in hyperbolic spaces: Effective counting and equidistribution,” <i>Pacific Journal of Mathematics</i>, vol. 324, no. 2. Mathematical Sciences Publishers, pp. 265–294, 2023.","ama":"Horesh T, Nevo A. Horospherical coordinates of lattice points in hyperbolic spaces: Effective counting and equidistribution. <i>Pacific Journal of Mathematics</i>. 2023;324(2):265-294. doi:<a href=\"https://doi.org/10.2140/pjm.2023.324.265\">10.2140/pjm.2023.324.265</a>"},"intvolume":"       324","year":"2023","issue":"2","abstract":[{"lang":"eng","text":"We establish effective counting results for lattice points in families of domains in real, complex and quaternionic hyperbolic spaces of any dimension. The domains we focus on are defined as product sets with respect to an Iwasawa decomposition. Several natural diophantine problems can be reduced to counting lattice points in such domains. These include equidistribution of the ratio of the length of the shortest solution (x,y) to the gcd equation bx−ay=1 relative to the length of (a,b), where (a,b) ranges over primitive vectors in a disc whose radius increases, the natural analog of this problem in imaginary quadratic number fields, as well as equidistribution of integral solutions to the diophantine equation defined by an integral Lorentz form in three or more variables. We establish an effective rate of convergence for these equidistribution problems, depending on the size of the spectral gap associated with a suitable lattice subgroup in the isometry group of the relevant hyperbolic space. The main result underlying our discussion amounts to establishing effective joint equidistribution for the horospherical component and the radial component in the Iwasawa decomposition of lattice elements."}],"arxiv":1,"date_updated":"2023-12-13T12:19:42Z","_id":"14245","publication_identifier":{"issn":["0030-8730"],"eissn":["1945-5844"]},"oa":1,"status":"public","month":"07","publication":"Pacific Journal of Mathematics","page":"265-294","date_created":"2023-08-27T22:01:18Z","has_accepted_license":"1","department":[{"_id":"TiBr"}],"language":[{"iso":"eng"}],"type":"journal_article","article_type":"original","article_processing_charge":"Yes","volume":324,"quality_controlled":"1","external_id":{"arxiv":["1612.08215"],"isi":["001047690500001"]},"tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"day":"26","acknowledgement":"The authors thank the referee for important comments which led to significant improvements is the presentation of several results in the paper. They also thank Ami Paz for preparing the figures for this paper. Horesh thanks Ami Paz and Yakov Karasik for helpful discussions. Nevo thanks John Parker and Rene Rühr for providing some very useful references. Nevo is supported by ISF Grant No. 2095/15.","file":[{"content_type":"application/pdf","relation":"main_file","file_size":654895,"success":1,"file_id":"14267","creator":"dernst","checksum":"a675b53cfb31fa46be1e879b7e77fe8c","access_level":"open_access","date_updated":"2023-09-05T07:26:17Z","file_name":"2023_PacificJourMaths_Horesh.pdf","date_created":"2023-09-05T07:26:17Z"}],"author":[{"full_name":"Horesh, Tal","last_name":"Horesh","id":"C8B7BF48-8D81-11E9-BCA9-F536E6697425","first_name":"Tal"},{"full_name":"Nevo, Amos","first_name":"Amos","last_name":"Nevo"}],"isi":1,"title":"Horospherical coordinates of lattice points in hyperbolic spaces: Effective counting and equidistribution","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Mathematical Sciences Publishers"},{"month":"08","publication_identifier":{"issn":["2399-3650"]},"oa":1,"status":"public","_id":"14246","article_number":"224","year":"2023","abstract":[{"text":"The model of a ring threaded by the Aharonov-Bohm flux underlies our understanding of a coupling between gauge potentials and matter. The typical formulation of the model is based upon a single particle picture, and should be extended when interactions with other particles become relevant. Here, we illustrate such an extension for a particle in an Aharonov-Bohm ring subject to interactions with a weakly interacting Bose gas. We show that the ground state of the system can be described using the Bose-polaron concept—a particle dressed by interactions with a bosonic environment. We connect the energy spectrum to the effective mass of the polaron, and demonstrate how to change currents in the system by tuning boson-particle interactions. Our results suggest the Aharonov-Bohm ring as a platform for studying coherence and few- to many-body crossover of quasi-particles that arise from an impurity immersed in a medium.","lang":"eng"}],"arxiv":1,"date_updated":"2023-12-13T12:21:09Z","citation":{"ama":"Brauneis F, Ghazaryan A, Hammer H-W, Volosniev A. Emergence of a Bose polaron in a small ring threaded by the Aharonov-Bohm flux. <i>Communications Physics</i>. 2023;6. doi:<a href=\"https://doi.org/10.1038/s42005-023-01281-2\">10.1038/s42005-023-01281-2</a>","ieee":"F. Brauneis, A. Ghazaryan, H.-W. Hammer, and A. Volosniev, “Emergence of a Bose polaron in a small ring threaded by the Aharonov-Bohm flux,” <i>Communications Physics</i>, vol. 6. Springer Nature, 2023.","short":"F. Brauneis, A. Ghazaryan, H.-W. Hammer, A. Volosniev, Communications Physics 6 (2023).","ista":"Brauneis F, Ghazaryan A, Hammer H-W, Volosniev A. 2023. Emergence of a Bose polaron in a small ring threaded by the Aharonov-Bohm flux. Communications Physics. 6, 224.","mla":"Brauneis, Fabian, et al. “Emergence of a Bose Polaron in a Small Ring Threaded by the Aharonov-Bohm Flux.” <i>Communications Physics</i>, vol. 6, 224, Springer Nature, 2023, doi:<a href=\"https://doi.org/10.1038/s42005-023-01281-2\">10.1038/s42005-023-01281-2</a>.","apa":"Brauneis, F., Ghazaryan, A., Hammer, H.-W., &#38; Volosniev, A. (2023). Emergence of a Bose polaron in a small ring threaded by the Aharonov-Bohm flux. <i>Communications Physics</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s42005-023-01281-2\">https://doi.org/10.1038/s42005-023-01281-2</a>","chicago":"Brauneis, Fabian, Areg Ghazaryan, Hans-Werner Hammer, and Artem Volosniev. “Emergence of a Bose Polaron in a Small Ring Threaded by the Aharonov-Bohm Flux.” <i>Communications Physics</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s42005-023-01281-2\">https://doi.org/10.1038/s42005-023-01281-2</a>."},"intvolume":"         6","ddc":["530"],"file_date_updated":"2023-09-05T08:45:49Z","scopus_import":"1","date_published":"2023-08-22T00:00:00Z","oa_version":"Published Version","doi":"10.1038/s42005-023-01281-2","publication_status":"published","title":"Emergence of a Bose polaron in a small ring threaded by the Aharonov-Bohm flux","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Springer Nature","file":[{"date_updated":"2023-09-05T08:45:49Z","file_name":"2023_CommPhysics_Brauneis.pdf","date_created":"2023-09-05T08:45:49Z","checksum":"6edfc59b0ee7dc406d0968b05236e83d","file_id":"14268","creator":"dernst","access_level":"open_access","relation":"main_file","content_type":"application/pdf","success":1,"file_size":855960}],"isi":1,"author":[{"last_name":"Brauneis","first_name":"Fabian","full_name":"Brauneis, Fabian"},{"full_name":"Ghazaryan, Areg","id":"4AF46FD6-F248-11E8-B48F-1D18A9856A87","last_name":"Ghazaryan","orcid":"0000-0001-9666-3543","first_name":"Areg"},{"last_name":"Hammer","first_name":"Hans-Werner","full_name":"Hammer, Hans-Werner"},{"first_name":"Artem","orcid":"0000-0003-0393-5525","id":"37D278BC-F248-11E8-B48F-1D18A9856A87","last_name":"Volosniev","full_name":"Volosniev, Artem"}],"tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"day":"22","acknowledgement":"Open Access funding enabled and organized by Projekt DEAL.\r\nWe would like to thank Jonas Jager for sharing his data with us in the early stages of this project. We thank Joachim Brand and Ray Yang for sharing with us data from Yang et al.46. This work has received funding from the DFG Project no. 413495248 [VO 2437/1-1] (F.B., H.-W.H., A.G.V.). We acknowledge support from the Deutsche Forschungsgemeinschaft (DFG - German Research Foundation) and the Open Access Publishing Fund of the Technical University of Darmstadt.","quality_controlled":"1","volume":6,"keyword":["General Physics and Astronomy"],"external_id":{"isi":["001052577500002"],"arxiv":["2301.10488"]},"article_processing_charge":"Yes (via OA deal)","article_type":"original","department":[{"_id":"MiLe"}],"language":[{"iso":"eng"}],"type":"journal_article","publication":"Communications Physics","date_created":"2023-08-28T12:36:49Z","has_accepted_license":"1"},{"pmid":1,"acknowledgement":"We thank Kayla Templeton and Peter Turcanu for technical assistance, Michelle Salemi for assistance with LC-MS data acquisition and analysis, Dr. Belvin Gong for advice on monoclonal antibody generation, Drs. Maria Casas Prat and Eamonn Dickson for assistance with super-resolution TIRF microscopy, Dr. Oscar Cerda for assistance with the design of TAT-FFAT peptides, Dr. Fernando Santana for helpful discussions, and Dr. Jodi Nunnari for a careful reading of our manuscript. We also thank Dr. Alan Howe, Dr. Sohum Mehta, and Dr. Jin Zhang for providing plasmids used in this study. This project was funded by NIH Grants R01NS114210 and R21NS101648 (J.S.T.), and F32NS108519 (N.C.V.).","day":"26","tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"author":[{"full_name":"Vierra, Nicholas C.","last_name":"Vierra","first_name":"Nicholas C."},{"last_name":"Ribeiro-Silva","first_name":"Luisa","full_name":"Ribeiro-Silva, Luisa"},{"full_name":"Kirmiz, Michael","first_name":"Michael","last_name":"Kirmiz"},{"first_name":"Deborah","last_name":"Van Der List","full_name":"Van Der List, Deborah"},{"full_name":"Bhandari, Pradeep","id":"45EDD1BC-F248-11E8-B48F-1D18A9856A87","last_name":"Bhandari","first_name":"Pradeep","orcid":"0000-0003-0863-4481"},{"first_name":"Olivia A.","last_name":"Mack","full_name":"Mack, Olivia A."},{"last_name":"Carroll","first_name":"James","full_name":"Carroll, James"},{"id":"3B59276A-F248-11E8-B48F-1D18A9856A87","last_name":"Le Monnier","first_name":"Elodie","full_name":"Le Monnier, Elodie"},{"first_name":"Sue A.","last_name":"Aicher","full_name":"Aicher, Sue A."},{"id":"499F3ABC-F248-11E8-B48F-1D18A9856A87","last_name":"Shigemoto","first_name":"Ryuichi","orcid":"0000-0001-8761-9444","full_name":"Shigemoto, Ryuichi"},{"full_name":"Trimmer, James S.","last_name":"Trimmer","first_name":"James S."}],"file":[{"file_name":"2023_NatureComm_Vierra.pdf","date_updated":"2023-09-06T06:50:07Z","date_created":"2023-09-06T06:50:07Z","file_id":"14270","creator":"dernst","checksum":"6ab8aab4e957f626a09a1c73db3388fb","access_level":"open_access","relation":"main_file","content_type":"application/pdf","success":1,"file_size":9412549}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Springer Nature","title":"Neuronal ER-plasma membrane junctions couple excitation to Ca2+-activated PKA signaling","has_accepted_license":"1","publication":"Nature Communications","date_created":"2023-09-03T22:01:14Z","type":"journal_article","department":[{"_id":"RySh"}],"language":[{"iso":"eng"}],"article_type":"original","article_processing_charge":"Yes","volume":14,"quality_controlled":"1","external_id":{"pmid":["37633939"]},"abstract":[{"text":"Junctions between the endoplasmic reticulum (ER) and the plasma membrane (PM) are specialized membrane contacts ubiquitous in eukaryotic cells. Concentration of intracellular signaling machinery near ER-PM junctions allows these domains to serve critical roles in lipid and Ca2+ signaling and homeostasis. Subcellular compartmentalization of protein kinase A (PKA) signaling also regulates essential cellular functions, however, no specific association between PKA and ER-PM junctional domains is known. Here, we show that in brain neurons type I PKA is directed to Kv2.1 channel-dependent ER-PM junctional domains via SPHKAP, a type I PKA-specific anchoring protein. SPHKAP association with type I PKA regulatory subunit RI and ER-resident VAP proteins results in the concentration of type I PKA between stacked ER cisternae associated with ER-PM junctions. This ER-associated PKA signalosome enables reciprocal regulation between PKA and Ca2+ signaling machinery to support Ca2+ influx and excitation-transcription coupling. These data reveal that neuronal ER-PM junctions support a receptor-independent form of PKA signaling driven by membrane depolarization and intracellular Ca2+, allowing conversion of information encoded in electrical signals into biochemical changes universally recognized throughout the cell.","lang":"eng"}],"date_updated":"2023-09-06T06:53:32Z","year":"2023","article_number":"5231","_id":"14253","status":"public","oa":1,"publication_identifier":{"eissn":["2041-1723"]},"month":"08","doi":"10.1038/s41467-023-40930-6","publication_status":"published","oa_version":"Published Version","date_published":"2023-08-26T00:00:00Z","file_date_updated":"2023-09-06T06:50:07Z","scopus_import":"1","ddc":["570"],"intvolume":"        14","citation":{"apa":"Vierra, N. C., Ribeiro-Silva, L., Kirmiz, M., Van Der List, D., Bhandari, P., Mack, O. A., … Trimmer, J. S. (2023). Neuronal ER-plasma membrane junctions couple excitation to Ca2+-activated PKA signaling. <i>Nature Communications</i>. Springer Nature. <a href=\"https://doi.org/10.1038/s41467-023-40930-6\">https://doi.org/10.1038/s41467-023-40930-6</a>","ista":"Vierra NC, Ribeiro-Silva L, Kirmiz M, Van Der List D, Bhandari P, Mack OA, Carroll J, Le Monnier E, Aicher SA, Shigemoto R, Trimmer JS. 2023. Neuronal ER-plasma membrane junctions couple excitation to Ca2+-activated PKA signaling. Nature Communications. 14, 5231.","mla":"Vierra, Nicholas C., et al. “Neuronal ER-Plasma Membrane Junctions Couple Excitation to Ca2+-Activated PKA Signaling.” <i>Nature Communications</i>, vol. 14, 5231, Springer Nature, 2023, doi:<a href=\"https://doi.org/10.1038/s41467-023-40930-6\">10.1038/s41467-023-40930-6</a>.","chicago":"Vierra, Nicholas C., Luisa Ribeiro-Silva, Michael Kirmiz, Deborah Van Der List, Pradeep Bhandari, Olivia A. Mack, James Carroll, et al. “Neuronal ER-Plasma Membrane Junctions Couple Excitation to Ca2+-Activated PKA Signaling.” <i>Nature Communications</i>. Springer Nature, 2023. <a href=\"https://doi.org/10.1038/s41467-023-40930-6\">https://doi.org/10.1038/s41467-023-40930-6</a>.","short":"N.C. Vierra, L. Ribeiro-Silva, M. Kirmiz, D. Van Der List, P. Bhandari, O.A. Mack, J. Carroll, E. Le Monnier, S.A. Aicher, R. Shigemoto, J.S. Trimmer, Nature Communications 14 (2023).","ama":"Vierra NC, Ribeiro-Silva L, Kirmiz M, et al. Neuronal ER-plasma membrane junctions couple excitation to Ca2+-activated PKA signaling. <i>Nature Communications</i>. 2023;14. doi:<a href=\"https://doi.org/10.1038/s41467-023-40930-6\">10.1038/s41467-023-40930-6</a>","ieee":"N. C. Vierra <i>et al.</i>, “Neuronal ER-plasma membrane junctions couple excitation to Ca2+-activated PKA signaling,” <i>Nature Communications</i>, vol. 14. Springer Nature, 2023."}},{"citation":{"chicago":"Seiringer, Robert, and Jan Philip Solovej. “A Simple Approach to Lieb-Thirring Type Inequalities.” <i>Journal of Functional Analysis</i>. Elsevier, 2023. <a href=\"https://doi.org/10.1016/j.jfa.2023.110129\">https://doi.org/10.1016/j.jfa.2023.110129</a>.","apa":"Seiringer, R., &#38; Solovej, J. P. (2023). A simple approach to Lieb-Thirring type inequalities. <i>Journal of Functional Analysis</i>. Elsevier. <a href=\"https://doi.org/10.1016/j.jfa.2023.110129\">https://doi.org/10.1016/j.jfa.2023.110129</a>","ista":"Seiringer R, Solovej JP. 2023. A simple approach to Lieb-Thirring type inequalities. Journal of Functional Analysis. 285(10), 110129.","mla":"Seiringer, Robert, and Jan Philip Solovej. “A Simple Approach to Lieb-Thirring Type Inequalities.” <i>Journal of Functional Analysis</i>, vol. 285, no. 10, 110129, Elsevier, 2023, doi:<a href=\"https://doi.org/10.1016/j.jfa.2023.110129\">10.1016/j.jfa.2023.110129</a>.","ama":"Seiringer R, Solovej JP. A simple approach to Lieb-Thirring type inequalities. <i>Journal of Functional Analysis</i>. 2023;285(10). doi:<a href=\"https://doi.org/10.1016/j.jfa.2023.110129\">10.1016/j.jfa.2023.110129</a>","ieee":"R. Seiringer and J. P. Solovej, “A simple approach to Lieb-Thirring type inequalities,” <i>Journal of Functional Analysis</i>, vol. 285, no. 10. Elsevier, 2023.","short":"R. Seiringer, J.P. Solovej, Journal of Functional Analysis 285 (2023)."},"intvolume":"       285","ddc":["510"],"file_date_updated":"2024-01-30T14:15:16Z","scopus_import":"1","date_published":"2023-11-15T00:00:00Z","oa_version":"Published Version","publication_status":"published","doi":"10.1016/j.jfa.2023.110129","month":"11","publication_identifier":{"issn":["0022-1236"],"eissn":["1096-0783"]},"oa":1,"status":"public","_id":"14254","article_number":"110129","year":"2023","date_updated":"2024-01-30T14:17:23Z","issue":"10","arxiv":1,"abstract":[{"text":"In [10] Nam proved a Lieb–Thirring Inequality for the kinetic energy of a fermionic quantum system, with almost optimal (semi-classical) constant and a gradient correction term. We present a stronger version of this inequality, with a much simplified proof. As a corollary we obtain a simple proof of the original Lieb–Thirring inequality.","lang":"eng"}],"external_id":{"arxiv":["2303.04504"],"isi":["001071552300001"]},"quality_controlled":"1","volume":285,"article_processing_charge":"Yes (via OA deal)","article_type":"original","language":[{"iso":"eng"}],"department":[{"_id":"RoSe"}],"type":"journal_article","date_created":"2023-09-03T22:01:14Z","publication":"Journal of Functional Analysis","has_accepted_license":"1","title":"A simple approach to Lieb-Thirring type inequalities","publisher":"Elsevier","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","file":[{"file_size":232934,"success":1,"relation":"main_file","content_type":"application/pdf","access_level":"open_access","file_id":"14915","creator":"dernst","checksum":"28e424ad91be6219e9d321054ce3a412","date_created":"2024-01-30T14:15:16Z","file_name":"2023_JourFunctionalAnalysis_Seiringer.pdf","date_updated":"2024-01-30T14:15:16Z"}],"isi":1,"author":[{"full_name":"Seiringer, Robert","orcid":"0000-0002-6781-0521","first_name":"Robert","last_name":"Seiringer","id":"4AFD0470-F248-11E8-B48F-1D18A9856A87"},{"full_name":"Solovej, Jan Philip","first_name":"Jan Philip","last_name":"Solovej"}],"day":"15","tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"acknowledgement":"J.P.S. thanks the Institute of Science and Technology Austria for the hospitality and support during a visit where this work was done. J.P.S. was also partially supported by the VILLUM Centre of Excellence for the Mathematics of Quantum Theory (QMATH) (grant No. 10059)."},{"intvolume":"        19","citation":{"chicago":"Koch, Jana, Qilin Xin, Martin Obr, Alicia Schäfer, Nina Rolfs, Holda A. Anagho, Aiste Kudulyte, et al. “The Phenuivirus Toscana Virus Makes an Atypical Use of Vacuolar Acidity to Enter Host Cells.” <i>PLoS Pathogens</i>. Public Library of Science, 2023. <a href=\"https://doi.org/10.1371/journal.ppat.1011562\">https://doi.org/10.1371/journal.ppat.1011562</a>.","mla":"Koch, Jana, et al. “The Phenuivirus Toscana Virus Makes an Atypical Use of Vacuolar Acidity to Enter Host Cells.” <i>PLoS Pathogens</i>, vol. 19, no. 8, e1011562, Public Library of Science, 2023, doi:<a href=\"https://doi.org/10.1371/journal.ppat.1011562\">10.1371/journal.ppat.1011562</a>.","apa":"Koch, J., Xin, Q., Obr, M., Schäfer, A., Rolfs, N., Anagho, H. A., … Lozach, P. Y. (2023). The phenuivirus Toscana virus makes an atypical use of vacuolar acidity to enter host cells. <i>PLoS Pathogens</i>. Public Library of Science. <a href=\"https://doi.org/10.1371/journal.ppat.1011562\">https://doi.org/10.1371/journal.ppat.1011562</a>","ista":"Koch J, Xin Q, Obr M, Schäfer A, Rolfs N, Anagho HA, Kudulyte A, Woltereck L, Kummer S, Campos J, Uckeley ZM, Bell-Sakyi L, Kräusslich HG, Schur FK, Acuna C, Lozach PY. 2023. The phenuivirus Toscana virus makes an atypical use of vacuolar acidity to enter host cells. PLoS Pathogens. 19(8), e1011562.","ama":"Koch J, Xin Q, Obr M, et al. The phenuivirus Toscana virus makes an atypical use of vacuolar acidity to enter host cells. <i>PLoS Pathogens</i>. 2023;19(8). doi:<a href=\"https://doi.org/10.1371/journal.ppat.1011562\">10.1371/journal.ppat.1011562</a>","ieee":"J. Koch <i>et al.</i>, “The phenuivirus Toscana virus makes an atypical use of vacuolar acidity to enter host cells,” <i>PLoS Pathogens</i>, vol. 19, no. 8. Public Library of Science, 2023.","short":"J. Koch, Q. Xin, M. Obr, A. Schäfer, N. Rolfs, H.A. Anagho, A. Kudulyte, L. Woltereck, S. Kummer, J. Campos, Z.M. Uckeley, L. Bell-Sakyi, H.G. Kräusslich, F.K. Schur, C. Acuna, P.Y. Lozach, PLoS Pathogens 19 (2023)."},"scopus_import":"1","file_date_updated":"2023-09-06T06:41:52Z","ddc":["570"],"oa_version":"Published Version","date_published":"2023-08-14T00:00:00Z","doi":"10.1371/journal.ppat.1011562","publication_status":"published","month":"08","status":"public","oa":1,"publication_identifier":{"issn":["1553-7366"],"eissn":["1553-7374"]},"acknowledged_ssus":[{"_id":"EM-Fac"}],"article_number":"e1011562","_id":"14255","abstract":[{"lang":"eng","text":"Toscana virus is a major cause of arboviral disease in humans in the Mediterranean basin during summer. However, early virus-host cell interactions and entry mechanisms remain poorly characterized. Investigating iPSC-derived human neurons and cell lines, we found that virus binding to the cell surface was specific, and 50% of bound virions were endocytosed within 10 min. Virions entered Rab5a+ early endosomes and, subsequently, Rab7a+ and LAMP-1+ late endosomal compartments. Penetration required intact late endosomes and occurred within 30 min following internalization. Virus entry relied on vacuolar acidification, with an optimal pH for viral membrane fusion at pH 5.5. The pH threshold increased to 5.8 with longer pre-exposure of virions to the slightly acidic pH in early endosomes. Strikingly, the particles remained infectious after entering late endosomes with a pH below the fusion threshold. Overall, our study establishes Toscana virus as a late-penetrating virus and reveals an atypical use of vacuolar acidity by this virus to enter host cells."}],"issue":"8","date_updated":"2023-12-13T12:22:22Z","year":"2023","quality_controlled":"1","volume":19,"external_id":{"isi":["001050846300004"],"pmid":["37578957"]},"article_processing_charge":"Yes","article_type":"original","type":"journal_article","department":[{"_id":"FlSc"}],"language":[{"iso":"eng"}],"has_accepted_license":"1","publication":"PLoS Pathogens","date_created":"2023-09-03T22:01:14Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Public Library of Science","title":"The phenuivirus Toscana virus makes an atypical use of vacuolar acidity to enter host cells","isi":1,"author":[{"last_name":"Koch","first_name":"Jana","full_name":"Koch, Jana"},{"full_name":"Xin, Qilin","last_name":"Xin","first_name":"Qilin"},{"id":"4741CA5A-F248-11E8-B48F-1D18A9856A87","last_name":"Obr","orcid":"0000-0003-1756-6564","first_name":"Martin","full_name":"Obr, Martin"},{"first_name":"Alicia","last_name":"Schäfer","full_name":"Schäfer, Alicia"},{"last_name":"Rolfs","first_name":"Nina","full_name":"Rolfs, Nina"},{"last_name":"Anagho","first_name":"Holda A.","full_name":"Anagho, Holda A."},{"full_name":"Kudulyte, Aiste","last_name":"Kudulyte","first_name":"Aiste"},{"full_name":"Woltereck, Lea","first_name":"Lea","last_name":"Woltereck"},{"first_name":"Susann","last_name":"Kummer","full_name":"Kummer, Susann"},{"full_name":"Campos, Joaquin","first_name":"Joaquin","last_name":"Campos"},{"last_name":"Uckeley","first_name":"Zina M.","full_name":"Uckeley, Zina M."},{"full_name":"Bell-Sakyi, Lesley","first_name":"Lesley","last_name":"Bell-Sakyi"},{"full_name":"Kräusslich, Hans Georg","last_name":"Kräusslich","first_name":"Hans Georg"},{"last_name":"Schur","id":"48AD8942-F248-11E8-B48F-1D18A9856A87","orcid":"0000-0003-4790-8078","first_name":"Florian Km","full_name":"Schur, Florian Km"},{"full_name":"Acuna, Claudio","last_name":"Acuna","first_name":"Claudio"},{"full_name":"Lozach, Pierre Yves","first_name":"Pierre Yves","last_name":"Lozach"}],"project":[{"call_identifier":"FWF","name":"Structural conservation and diversity in retroviral capsid","grant_number":"P31445","_id":"26736D6A-B435-11E9-9278-68D0E5697425"}],"file":[{"checksum":"47ca3bb54b27f28b05644be0ad064bc6","creator":"dernst","file_id":"14269","access_level":"open_access","file_name":"2023_PloSPathogens_Koch.pdf","date_updated":"2023-09-06T06:41:52Z","date_created":"2023-09-06T06:41:52Z","content_type":"application/pdf","relation":"main_file","file_size":4458336,"success":1}],"acknowledgement":"We acknowledge Elodie Chatre and the Imaging Platform Platim, SFR Biosciences, Lyon, as well as Vibor Laketa and the Infectious Diseases Imaging Platform (IDIP) at the Center for Integrative Infectious Disease Research (CIID) Heidelberg. The sand fly cell lines were supplied by the Tick Cell Biobank at the University of Liverpool. F.K.M.S. acknowledges support from the Scientific Service Units (SSUs) of ISTA through resources provided by the Electron Microscopy Facility (EMF).\r\nThis work was supported by CellNetworks Research Group funds and Deutsche Forschungsgemeinschaft (DFG) funding (LO-2338/3-1) and the Agence Nationale de la Recherche (ANR) funding (grant numbers ANR-21-CE11-0012 and ANR-22-CE15-0034), all awarded to P.-Y.L. This work was also supported by the LABEX ECOFECT (ANR-11-LABX-0048) of Université de Lyon (UDL), within the program “Investissements d’Avenir” (ANR-11-IDEX-0007) operated by the ANR and by the RESPOND program of the UDL (awarded to P.-Y.L) . C.A. was supported by the Chica and Heinz Schaller Research Group funds, NARSAD 2019 award, a Fritz Thyssen Research Grant, and the SFB1158-S02 grant. L.B-S. is supported by a United Kingdom Biotechnology and Biological Sciences Research Council grant (BB/P024270/1) and a Wellcome Trust grant (223743/Z/21/Z). F.K.M.S acknowledges support from the Austrian Science Fund (FWF, P31445). J.K. received a salary from the DFG (LO-2338/3-1) and then from the ANR (ANR-11-LABX-0048). The salary of Z.M.U. was partially covered by the DFG (LO-2338/3-1). S.K. received a salary from the DFG (SFB1129). We are grateful to the Chinese Scholarship Council (CSC; 201904910701), DAAD/ANID (57451854/62180003), the Rufus A. Kellogg fellowship program (Amherst College, Massachusetts, USA) for awarding fellowships to Q.X., J.C., and H.A.A., respectively.","pmid":1,"day":"14","tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"}},{"year":"2023","arxiv":1,"abstract":[{"text":"Context. Space asteroseismology is revolutionizing our knowledge of the internal structure and dynamics of stars. A breakthrough is ongoing with the recent discoveries of signatures of strong magnetic fields in the core of red giant stars. The key signature for such a detection is the asymmetry these fields induce in the frequency splittings of observed dipolar mixed gravito-acoustic modes.\r\nAims. We investigate the ability of the observed asymmetries of the frequency splittings of dipolar mixed modes to constrain the geometrical properties of deep magnetic fields.\r\nMethods. We used the powerful analytical Racah-Wigner algebra used in quantum mechanics to characterize the geometrical couplings of dipolar mixed oscillation modes with various realistically plausible topologies of fossil magnetic fields. We also computed the induced perturbation of their frequencies.\r\nResults. First, in the case of an oblique magnetic dipole, we provide the exact analytical expression of the asymmetry as a function of the angle between the rotation and magnetic axes. Its value provides a direct measure of this angle. Second, considering a combination of axisymmetric dipolar and quadrupolar fields, we show how the asymmetry is blind to the unraveling of the relative strength and sign of each component. Finally, in the case of a given multipole, we show that a negative asymmetry is a signature of non-axisymmetric topologies.\r\nConclusions. Asymmetries of dipolar mixed modes provide a key bit of information on the geometrical topology of deep fossil magnetic fields, but this is insufficient on its own. Asteroseismic constraints should therefore be combined with spectropolarimetric observations and numerical simulations, which aim to predict the more probable stable large-scale geometries.","lang":"eng"}],"date_updated":"2023-09-06T11:05:58Z","_id":"14256","article_number":"L9","oa":1,"publication_identifier":{"eissn":["1432-0746"],"issn":["0004-6361"]},"status":"public","month":"08","doi":"10.1051/0004-6361/202346832","publication_status":"published","date_published":"2023-08-01T00:00:00Z","oa_version":"Published Version","ddc":["520"],"scopus_import":"1","file_date_updated":"2023-09-06T07:13:19Z","citation":{"mla":"Mathis, S., and Lisa Annabelle Bugnet. “Asymmetries of Frequency Splittings of Dipolar Mixed Modes: A Window on the Topology of Deep Magnetic Fields.” <i>Astronomy and Astrophysics</i>, vol. 676, L9, EDP Sciences, 2023, doi:<a href=\"https://doi.org/10.1051/0004-6361/202346832\">10.1051/0004-6361/202346832</a>.","apa":"Mathis, S., &#38; Bugnet, L. A. (2023). Asymmetries of frequency splittings of dipolar mixed modes: A window on the topology of deep magnetic fields. <i>Astronomy and Astrophysics</i>. EDP Sciences. <a href=\"https://doi.org/10.1051/0004-6361/202346832\">https://doi.org/10.1051/0004-6361/202346832</a>","ista":"Mathis S, Bugnet LA. 2023. Asymmetries of frequency splittings of dipolar mixed modes: A window on the topology of deep magnetic fields. Astronomy and Astrophysics. 676, L9.","chicago":"Mathis, S., and Lisa Annabelle Bugnet. “Asymmetries of Frequency Splittings of Dipolar Mixed Modes: A Window on the Topology of Deep Magnetic Fields.” <i>Astronomy and Astrophysics</i>. EDP Sciences, 2023. <a href=\"https://doi.org/10.1051/0004-6361/202346832\">https://doi.org/10.1051/0004-6361/202346832</a>.","short":"S. Mathis, L.A. Bugnet, Astronomy and Astrophysics 676 (2023).","ama":"Mathis S, Bugnet LA. Asymmetries of frequency splittings of dipolar mixed modes: A window on the topology of deep magnetic fields. <i>Astronomy and Astrophysics</i>. 2023;676. doi:<a href=\"https://doi.org/10.1051/0004-6361/202346832\">10.1051/0004-6361/202346832</a>","ieee":"S. Mathis and L. A. Bugnet, “Asymmetries of frequency splittings of dipolar mixed modes: A window on the topology of deep magnetic fields,” <i>Astronomy and Astrophysics</i>, vol. 676. EDP Sciences, 2023."},"intvolume":"       676","day":"01","tmp":{"short":"CC BY (4.0)","image":"/images/cc_by.png","name":"Creative Commons Attribution 4.0 International Public License (CC-BY 4.0)","legal_code_url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"acknowledgement":"The authors are grateful to the referee for her/his detailed and constructive report, which has allowed us to improve our article. S. M. acknowledges support from the CNES GOLF-SOHO and PLATO grants at CEA/DAp and PNPS (CNRS/INSU). We thank R. A. Garcia for fruitful discussions and suggestions.","file":[{"relation":"main_file","content_type":"application/pdf","success":1,"file_size":458120,"checksum":"7b30d26fb2b7bcb5b5be1414950615f9","file_id":"14271","creator":"dernst","access_level":"open_access","file_name":"2023_AstronomyAstrophysics_Mathis.pdf","date_updated":"2023-09-06T07:13:19Z","date_created":"2023-09-06T07:13:19Z"}],"author":[{"full_name":"Mathis, S.","first_name":"S.","last_name":"Mathis"},{"full_name":"Bugnet, Lisa Annabelle","id":"d9edb345-f866-11ec-9b37-d119b5234501","last_name":"Bugnet","first_name":"Lisa Annabelle","orcid":"0000-0003-0142-4000"}],"isi":1,"title":"Asymmetries of frequency splittings of dipolar mixed modes: A window on the topology of deep magnetic fields","user_id":"c635000d-4b10-11ee-a964-aac5a93f6ac1","publisher":"EDP Sciences","publication":"Astronomy and Astrophysics","date_created":"2023-09-03T22:01:15Z","has_accepted_license":"1","department":[{"_id":"LiBu"}],"language":[{"iso":"eng"}],"type":"journal_article","article_type":"letter_note","article_processing_charge":"Yes (in subscription journal)","volume":676,"quality_controlled":"1","external_id":{"arxiv":["2306.11587"],"isi":["001046037700007"]}}]