[{"type":"journal_article","oa":1,"page":"1320-1331","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2020-02-01T00:00:00Z","publication_status":"published","article_processing_charge":"No","year":"2020","OA_type":"green","language":[{"iso":"eng"}],"intvolume":"        26","date_created":"2024-10-08T13:05:41Z","abstract":[{"text":"Many shape analysis methods treat the geometry of an object as a metric space that can be captured by the Laplace-Beltrami operator. In this paper, we propose to adapt the classical Hamiltonian operator from quantum mechanics to the field of shape analysis. To this end, we study the addition of a potential function to the Laplacian as a generator for dual spaces in which shape processing is performed. We present general optimization approaches for solving variational problems involving the basis defined by the Hamiltonian using perturbation theory for its eigenvectors. The suggested operator is shown to produce better functional spaces to operate with, as demonstrated on different shape analysis tasks.","lang":"eng"}],"pmid":1,"publisher":"Institute of Electrical and Electronics Engineers","status":"public","month":"02","publication":"IEEE Transactions on Visualization and Computer Graphics","issue":"2","OA_place":"repository","external_id":{"pmid":["30176599"],"arxiv":["1611.01990"]},"day":"01","publication_identifier":{"issn":["1077-2626"],"eissn":["2160-9306"]},"article_type":"original","arxiv":1,"title":"Hamiltonian operator for spectral shape analysis","date_updated":"2024-10-15T09:43:31Z","author":[{"full_name":"Choukroun, Yoni","last_name":"Choukroun","first_name":"Yoni"},{"last_name":"Shtern","first_name":"Alon","full_name":"Shtern, Alon"},{"orcid":"0000-0001-9699-8730","last_name":"Bronstein","first_name":"Alexander","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","full_name":"Bronstein, Alexander"},{"full_name":"Kimmel, Ron","first_name":"Ron","last_name":"Kimmel"}],"citation":{"short":"Y. Choukroun, A. Shtern, A.M. Bronstein, R. Kimmel, IEEE Transactions on Visualization and Computer Graphics 26 (2020) 1320–1331.","chicago":"Choukroun, Yoni, Alon Shtern, Alex M. Bronstein, and Ron Kimmel. “Hamiltonian Operator for Spectral Shape Analysis.” <i>IEEE Transactions on Visualization and Computer Graphics</i>. Institute of Electrical and Electronics Engineers, 2020. <a href=\"https://doi.org/10.1109/tvcg.2018.2867513\">https://doi.org/10.1109/tvcg.2018.2867513</a>.","ista":"Choukroun Y, Shtern A, Bronstein AM, Kimmel R. 2020. Hamiltonian operator for spectral shape analysis. IEEE Transactions on Visualization and Computer Graphics. 26(2), 1320–1331.","apa":"Choukroun, Y., Shtern, A., Bronstein, A. M., &#38; Kimmel, R. (2020). Hamiltonian operator for spectral shape analysis. <i>IEEE Transactions on Visualization and Computer Graphics</i>. Institute of Electrical and Electronics Engineers. <a href=\"https://doi.org/10.1109/tvcg.2018.2867513\">https://doi.org/10.1109/tvcg.2018.2867513</a>","ama":"Choukroun Y, Shtern A, Bronstein AM, Kimmel R. Hamiltonian operator for spectral shape analysis. <i>IEEE Transactions on Visualization and Computer Graphics</i>. 2020;26(2):1320-1331. doi:<a href=\"https://doi.org/10.1109/tvcg.2018.2867513\">10.1109/tvcg.2018.2867513</a>","ieee":"Y. Choukroun, A. Shtern, A. M. Bronstein, and R. Kimmel, “Hamiltonian operator for spectral shape analysis,” <i>IEEE Transactions on Visualization and Computer Graphics</i>, vol. 26, no. 2. Institute of Electrical and Electronics Engineers, pp. 1320–1331, 2020.","mla":"Choukroun, Yoni, et al. “Hamiltonian Operator for Spectral Shape Analysis.” <i>IEEE Transactions on Visualization and Computer Graphics</i>, vol. 26, no. 2, Institute of Electrical and Electronics Engineers, 2020, pp. 1320–31, doi:<a href=\"https://doi.org/10.1109/tvcg.2018.2867513\">10.1109/tvcg.2018.2867513</a>."},"doi":"10.1109/tvcg.2018.2867513","scopus_import":"1","volume":26,"_id":"18250","extern":"1","quality_controlled":"1","oa_version":"Preprint","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.1611.01990 "}]},{"oa_version":"None","quality_controlled":"1","status":"public","publication":"International Workshop on Machine Learning for Medical Image Reconstruction","month":"10","_id":"18251","extern":"1","publisher":"Springer Nature","volume":12450,"abstract":[{"text":"Magnetic Resonance Imaging (MRI) has long been considered to be among the gold standards of today’s diagnostic imaging. The most significant drawback of MRI is long acquisition times, prohibiting its use in standard practice for some applications. Compressed sensing (CS) proposes to subsample the k-space (the Fourier domain dual to the physical space of spatial coordinates) leading to significantly accelerated acquisition. However, the benefit of compressed sensing has not been fully exploited; most of the sampling densities obtained through CS do not produce a trajectory that obeys the stringent constraints of the MRI machine imposed in practice. Inspired by recent success of deep learning-based approaches for image reconstruction and ideas from computational imaging on learning-based design of imaging systems, we introduce 3D FLAT, a novel protocol for data-driven design of 3D non-Cartesian accelerated trajectories in MRI. Our proposal leverages the entire 3D k-space to simultaneously learn a physically feasible acquisition trajectory with a reconstruction method. Experimental results, performed as a proof-of-concept, suggest that 3D FLAT achieves higher image quality for a given readout time compared to standard trajectories such as radial, stack-of-stars, or 2D learned trajectories (trajectories that evolve only in the 2D plane while fully sampling along the third dimension). Furthermore, we demonstrate evidence supporting the significant benefit of performing MRI acquisitions using non-Cartesian 3D trajectories over 2D non-Cartesian trajectories acquired slice-wise.","lang":"eng"}],"scopus_import":"1","date_created":"2024-10-08T13:06:03Z","alternative_title":["LNCS"],"citation":{"chicago":"Alush-Aben, Jonathan, Linor Ackerman-Schraier, Tomer Weiss, Sanketh Vedula, Ortal Senouf, and Alex M. Bronstein. “3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI.” In <i>International Workshop on Machine Learning for Medical Image Reconstruction</i>, 12450:3–16. Springer Nature, 2020. <a href=\"https://doi.org/10.1007/978-3-030-61598-7_1\">https://doi.org/10.1007/978-3-030-61598-7_1</a>.","short":"J. Alush-Aben, L. Ackerman-Schraier, T. Weiss, S. Vedula, O. Senouf, A.M. Bronstein, in:, International Workshop on Machine Learning for Medical Image Reconstruction, Springer Nature, 2020, pp. 3–16.","mla":"Alush-Aben, Jonathan, et al. “3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI.” <i>International Workshop on Machine Learning for Medical Image Reconstruction</i>, vol. 12450, Springer Nature, 2020, pp. 3–16, doi:<a href=\"https://doi.org/10.1007/978-3-030-61598-7_1\">10.1007/978-3-030-61598-7_1</a>.","ieee":"J. Alush-Aben, L. Ackerman-Schraier, T. Weiss, S. Vedula, O. Senouf, and A. M. Bronstein, “3D FLAT: Feasible learned acquisition trajectories for accelerated MRI,” in <i>International Workshop on Machine Learning for Medical Image Reconstruction</i>, Lima, Peru, 2020, vol. 12450, pp. 3–16.","ista":"Alush-Aben J, Ackerman-Schraier L, Weiss T, Vedula S, Senouf O, Bronstein AM. 2020. 3D FLAT: Feasible learned acquisition trajectories for accelerated MRI. International Workshop on Machine Learning for Medical Image Reconstruction. MLMIR: Workshop on Machine Learning for Medical Image Reconstruction, LNCS, vol. 12450, 3–16.","apa":"Alush-Aben, J., Ackerman-Schraier, L., Weiss, T., Vedula, S., Senouf, O., &#38; Bronstein, A. M. (2020). 3D FLAT: Feasible learned acquisition trajectories for accelerated MRI. In <i>International Workshop on Machine Learning for Medical Image Reconstruction</i> (Vol. 12450, pp. 3–16). Lima, Peru: Springer Nature. <a href=\"https://doi.org/10.1007/978-3-030-61598-7_1\">https://doi.org/10.1007/978-3-030-61598-7_1</a>","ama":"Alush-Aben J, Ackerman-Schraier L, Weiss T, Vedula S, Senouf O, Bronstein AM. 3D FLAT: Feasible learned acquisition trajectories for accelerated MRI. In: <i>International Workshop on Machine Learning for Medical Image Reconstruction</i>. Vol 12450. Springer Nature; 2020:3-16. doi:<a href=\"https://doi.org/10.1007/978-3-030-61598-7_1\">10.1007/978-3-030-61598-7_1</a>"},"doi":"10.1007/978-3-030-61598-7_1","intvolume":"     12450","language":[{"iso":"eng"}],"author":[{"last_name":"Alush-Aben","first_name":"Jonathan","full_name":"Alush-Aben, Jonathan"},{"first_name":"Linor","last_name":"Ackerman-Schraier","full_name":"Ackerman-Schraier, Linor"},{"last_name":"Weiss","first_name":"Tomer","full_name":"Weiss, Tomer"},{"first_name":"Sanketh","last_name":"Vedula","full_name":"Vedula, Sanketh"},{"full_name":"Senouf, Ortal","first_name":"Ortal","last_name":"Senouf"},{"full_name":"Bronstein, Alexander","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","first_name":"Alexander","last_name":"Bronstein","orcid":"0000-0001-9699-8730"}],"publication_status":"published","year":"2020","article_processing_charge":"No","title":"3D FLAT: Feasible learned acquisition trajectories for accelerated MRI","date_updated":"2025-01-23T15:13:44Z","date_published":"2020-10-20T00:00:00Z","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","page":"3 - 16","day":"20","publication_identifier":{"eissn":["1611-3349"],"issn":["0302-9743"],"isbn":["9783030615970"],"eisbn":["9783030615987"]},"conference":{"start_date":"2020-10-08","location":"Lima, Peru","name":"MLMIR: Workshop on Machine Learning for Medical Image Reconstruction","end_date":"2020-10-08"},"type":"conference"},{"scopus_import":"1","volume":13,"citation":{"short":"K. Rotker, D.B. Bashat, A.M. Bronstein, SIAM Journal on Imaging Sciences 13 (2020) 1386–1414.","chicago":"Rotker, Keren, Dafna Ben Bashat, and Alex M. Bronstein. “Overparameterized Models for Vector Fields.” <i>SIAM Journal on Imaging Sciences</i>. Society for Industrial &#38; Applied Mathematics, 2020. <a href=\"https://doi.org/10.1137/19m1280697\">https://doi.org/10.1137/19m1280697</a>.","ama":"Rotker K, Bashat DB, Bronstein AM. Overparameterized models for vector fields. <i>SIAM Journal on Imaging Sciences</i>. 2020;13(3):1386-1414. doi:<a href=\"https://doi.org/10.1137/19m1280697\">10.1137/19m1280697</a>","apa":"Rotker, K., Bashat, D. B., &#38; Bronstein, A. M. (2020). Overparameterized models for vector fields. <i>SIAM Journal on Imaging Sciences</i>. Society for Industrial &#38; Applied Mathematics. <a href=\"https://doi.org/10.1137/19m1280697\">https://doi.org/10.1137/19m1280697</a>","ista":"Rotker K, Bashat DB, Bronstein AM. 2020. Overparameterized models for vector fields. SIAM Journal on Imaging Sciences. 13(3), 1386–1414.","ieee":"K. Rotker, D. B. Bashat, and A. M. Bronstein, “Overparameterized models for vector fields,” <i>SIAM Journal on Imaging Sciences</i>, vol. 13, no. 3. Society for Industrial &#38; Applied Mathematics, pp. 1386–1414, 2020.","mla":"Rotker, Keren, et al. “Overparameterized Models for Vector Fields.” <i>SIAM Journal on Imaging Sciences</i>, vol. 13, no. 3, Society for Industrial &#38; Applied Mathematics, 2020, pp. 1386–414, doi:<a href=\"https://doi.org/10.1137/19m1280697\">10.1137/19m1280697</a>."},"doi":"10.1137/19m1280697","extern":"1","_id":"18252","oa_version":"None","quality_controlled":"1","publication_identifier":{"eissn":["1936-4954"]},"article_type":"original","day":"01","author":[{"first_name":"Keren","last_name":"Rotker","full_name":"Rotker, Keren"},{"first_name":"Dafna Ben","last_name":"Bashat","full_name":"Bashat, Dafna Ben"},{"id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","full_name":"Bronstein, Alexander","orcid":"0000-0001-9699-8730","last_name":"Bronstein","first_name":"Alexander"}],"date_updated":"2024-10-15T10:43:38Z","title":"Overparameterized models for vector fields","abstract":[{"text":"Vector fields arise in a variety of quantity measure and visualization techniques, such as fluid flow imaging, motion estimation, deformation measures, and color imaging, leading to a better understanding of physical phenomena. Recent progress in vector field imaging technologies has emphasized the need for efficient noise removal and reconstruction algorithms. A key ingredient in the successful extraction of signals from noisy measurements is prior information, which can often be represented as a parameterized model. In this work, we extend the overparameterization variational framework in order to perform model-based reconstruction of vector fields. The overparameterization methodology combines local modeling of the data with global model parameter regularization. By considering the vector field as a linear combination of basis vector fields and appropriate scale and rotation coefficients, we can reduce the denoising problem to a simpler form of coefficient recovery. We introduce two versions of the overparameterization framework: a total variation-based method and a sparsity-based method, which relies on the cosparse analysis model. We demonstrate the efficiency of the proposed frameworks for two- and three-dimensional vector fields with linear and quadratic overparameterization models.","lang":"eng"}],"date_created":"2024-10-08T13:06:25Z","publisher":"Society for Industrial & Applied Mathematics","OA_type":"closed access","language":[{"iso":"eng"}],"intvolume":"        13","issue":"3","publication":"SIAM Journal on Imaging Sciences","status":"public","month":"01","page":"1386-1414","type":"journal_article","article_processing_charge":"No","year":"2020","publication_status":"published","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2020-01-01T00:00:00Z"},{"_id":"18253","extern":"1","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1128/mbio.00705-20"}],"oa_version":"Published Version","quality_controlled":"1","citation":{"apa":"Arbel, M., Bronstein, A. M., Sau, S., Liefshitz, B., &#38; Kupiec, M. (2020). Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae. <i>MBio</i>. American Society for Microbiology. <a href=\"https://doi.org/10.1128/mbio.00705-20\">https://doi.org/10.1128/mbio.00705-20</a>","ista":"Arbel M, Bronstein AM, Sau S, Liefshitz B, Kupiec M. 2020. Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae. mBio. 11(3), 00705-20.","ama":"Arbel M, Bronstein AM, Sau S, Liefshitz B, Kupiec M. Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae. <i>mBio</i>. 2020;11(3). doi:<a href=\"https://doi.org/10.1128/mbio.00705-20\">10.1128/mbio.00705-20</a>","ieee":"M. Arbel, A. M. Bronstein, S. Sau, B. Liefshitz, and M. Kupiec, “Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae,” <i>mBio</i>, vol. 11, no. 3. American Society for Microbiology, 2020.","mla":"Arbel, Matan, et al. “Access to PCNA by Srs2 and Elg1 Controls the Choice between Alternative Repair Pathways in Saccharomyces Cerevisiae.” <i>MBio</i>, vol. 11, no. 3, 00705-20, American Society for Microbiology, 2020, doi:<a href=\"https://doi.org/10.1128/mbio.00705-20\">10.1128/mbio.00705-20</a>.","short":"M. Arbel, A.M. Bronstein, S. Sau, B. Liefshitz, M. Kupiec, MBio 11 (2020).","chicago":"Arbel, Matan, Alex M. Bronstein, Soumitra Sau, Batia Liefshitz, and Martin Kupiec. “Access to PCNA by Srs2 and Elg1 Controls the Choice between Alternative Repair Pathways in Saccharomyces Cerevisiae.” <i>MBio</i>. American Society for Microbiology, 2020. <a href=\"https://doi.org/10.1128/mbio.00705-20\">https://doi.org/10.1128/mbio.00705-20</a>."},"doi":"10.1128/mbio.00705-20","scopus_import":"1","volume":11,"date_updated":"2024-10-15T10:50:42Z","title":"Access to PCNA by Srs2 and Elg1 controls the choice between alternative repair pathways in Saccharomyces cerevisiae","author":[{"first_name":"Matan","last_name":"Arbel","full_name":"Arbel, Matan"},{"first_name":"Alexander","orcid":"0000-0001-9699-8730","last_name":"Bronstein","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","full_name":"Bronstein, Alexander"},{"first_name":"Soumitra","last_name":"Sau","full_name":"Sau, Soumitra"},{"full_name":"Liefshitz, Batia","first_name":"Batia","last_name":"Liefshitz"},{"last_name":"Kupiec","first_name":"Martin","full_name":"Kupiec, Martin"}],"OA_place":"publisher","external_id":{"pmid":["32371600"]},"article_type":"original","publication_identifier":{"eissn":["2150-7511"],"issn":["2161-2129"]},"day":"01","DOAJ_listed":"1","publication":"mBio","status":"public","month":"06","issue":"3","language":[{"iso":"eng"}],"OA_type":"gold","intvolume":"        11","pmid":1,"abstract":[{"text":"PCNA, the ring that encircles DNA maintaining the processivity of DNA polymerases, is modified by ubiquitin and SUMO. Whereas ubiquitin is required for bypassing lesions through the DNA damage tolerance (DDT) pathways, we show here that SUMOylation represses another pathway, salvage recombination. The Srs2 helicase is recruited to SUMOylated PCNA and prevents the salvage pathway from acting. The pathway can be induced by overexpressing the PCNA unloader Elg1, or the homologous recombination protein Rad52. Our results underscore the role of PCNA modifications in controlling the various bypass and DNA repair mechanisms.","lang":"eng"}],"date_created":"2024-10-08T13:06:43Z","publisher":"American Society for Microbiology","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","article_number":"00705-20","date_published":"2020-06-01T00:00:00Z","year":"2020","article_processing_charge":"Yes","publication_status":"published","type":"journal_article","oa":1},{"date_published":"2020-03-05T00:00:00Z","article_number":"9022341","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","article_processing_charge":"No","year":"2020","publication_status":"published","oa":1,"type":"conference","publication":"2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)","status":"public","month":"03","language":[{"iso":"eng"}],"publisher":"IEEE","date_created":"2024-10-08T13:07:16Z","abstract":[{"text":"Learning an object detection or retrieval system requires a large data set with manual annotations. Such data sets are expensive and time consuming to create and therefore difficult to obtain on a large scale. In this work, we propose to exploit the natural correlation in narrations and the visual presence of objects in video, to learn an object detector and retrieval without any manual labeling involved. We pose the problem as weakly supervised learning with noisy labels, and propose a novel object detection paradigm under these constraints. We handle the background rejection by using contrastive samples and confront the high level of label noise with a new clustering score. Our evaluation is based on a set of 11 manually annotated objects in over 5000 frames. We show comparison to a weakly-supervised approach as baseline and provide a strongly labeled upper bound.","lang":"eng"}],"date_updated":"2024-12-05T16:04:03Z","title":"Learning to detect and retrieve objects from unlabeled videos","author":[{"full_name":"Amrani, Elad","first_name":"Elad","last_name":"Amrani"},{"first_name":"Rami","last_name":"Ben-Ari","full_name":"Ben-Ari, Rami"},{"full_name":"Hakim, Tal","last_name":"Hakim","first_name":"Tal"},{"full_name":"Bronstein, Alexander","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","last_name":"Bronstein","orcid":"0000-0001-9699-8730","first_name":"Alexander"}],"external_id":{"arxiv":["1905.11137"]},"conference":{"end_date":"2019-10-28","start_date":"2019-10-27","name":"17th IEEE/CVF International Conference on Computer Vision Workshop","location":"Seoul, Korea (South)"},"arxiv":1,"publication_identifier":{"isbn":["9781728150246"],"eissn":["2473-9944"]},"day":"05","main_file_link":[{"open_access":"1","url":"https://doi.org/10.48550/arXiv.1905.11137"}],"quality_controlled":"1","oa_version":"Preprint","_id":"18255","extern":"1","citation":{"short":"E. Amrani, R. Ben-Ari, T. Hakim, A.M. Bronstein, in:, 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), IEEE, 2020.","chicago":"Amrani, Elad, Rami Ben-Ari, Tal Hakim, and Alex M. Bronstein. “Learning to Detect and Retrieve Objects from Unlabeled Videos.” In <i>2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</i>. IEEE, 2020. <a href=\"https://doi.org/10.1109/iccvw.2019.00567\">https://doi.org/10.1109/iccvw.2019.00567</a>.","ista":"Amrani E, Ben-Ari R, Hakim T, Bronstein AM. 2020. Learning to detect and retrieve objects from unlabeled videos. 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). 17th IEEE/CVF International Conference on Computer Vision Workshop, 9022341.","ama":"Amrani E, Ben-Ari R, Hakim T, Bronstein AM. Learning to detect and retrieve objects from unlabeled videos. In: <i>2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</i>. IEEE; 2020. doi:<a href=\"https://doi.org/10.1109/iccvw.2019.00567\">10.1109/iccvw.2019.00567</a>","apa":"Amrani, E., Ben-Ari, R., Hakim, T., &#38; Bronstein, A. M. (2020). Learning to detect and retrieve objects from unlabeled videos. In <i>2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</i>. Seoul, Korea (South): IEEE. <a href=\"https://doi.org/10.1109/iccvw.2019.00567\">https://doi.org/10.1109/iccvw.2019.00567</a>","ieee":"E. Amrani, R. Ben-Ari, T. Hakim, and A. M. Bronstein, “Learning to detect and retrieve objects from unlabeled videos,” in <i>2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</i>, Seoul, Korea (South), 2020.","mla":"Amrani, Elad, et al. “Learning to Detect and Retrieve Objects from Unlabeled Videos.” <i>2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW)</i>, 9022341, IEEE, 2020, doi:<a href=\"https://doi.org/10.1109/iccvw.2019.00567\">10.1109/iccvw.2019.00567</a>."},"doi":"10.1109/iccvw.2019.00567","scopus_import":"1"},{"extern":"1","_id":"18258","quality_controlled":"1","status":"public","oa_version":"None","month":"01","publication":"2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","scopus_import":"1","date_created":"2024-10-08T13:08:09Z","abstract":[{"text":"Distance metric learning (DML) has been successfully applied to object classification, both in the standard regime of rich training data and in the few-shot scenario, where each category is represented by only a few examples. In this work, we propose a new method for DML that simultaneously learns the backbone network parameters, the embedding space, and the multi-modal distribution of each of the training categories in that space, in a single end-to-end training process. Our approach outperforms state-of-the-art methods for DML-based object classification on a variety of standard fine-grained datasets. Furthermore, we demonstrate the effectiveness of our approach on the problem of few-shot object detection, by incorporating the proposed DML architecture as a classification head into a standard object detection model. We achieve the best results on the ImageNet-LOC dataset compared to strong baselines, when only a few training examples are available. We also offer the community a new episodic benchmark based on the ImageNet dataset for the few-shot object detection task.","lang":"eng"}],"publisher":"IEEE","language":[{"iso":"eng"}],"citation":{"mla":"Karlinsky, Leonid, et al. “Repmet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection.” <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>, 8953439, IEEE, 2020, doi:<a href=\"https://doi.org/10.1109/cvpr.2019.00534\">10.1109/cvpr.2019.00534</a>.","ieee":"L. Karlinsky <i>et al.</i>, “Repmet: Representative-based metric learning for classification and few-shot object detection,” in <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>, Long Beach, CA, United States, 2020.","ama":"Karlinsky L, Shtok J, Harary S, et al. Repmet: Representative-based metric learning for classification and few-shot object detection. In: <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>. IEEE; 2020. doi:<a href=\"https://doi.org/10.1109/cvpr.2019.00534\">10.1109/cvpr.2019.00534</a>","ista":"Karlinsky L, Shtok J, Harary S, Schwartz E, Aides A, Feris R, Giryes R, Bronstein AM. 2020. Repmet: Representative-based metric learning for classification and few-shot object detection. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, 8953439.","apa":"Karlinsky, L., Shtok, J., Harary, S., Schwartz, E., Aides, A., Feris, R., … Bronstein, A. M. (2020). Repmet: Representative-based metric learning for classification and few-shot object detection. In <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>. Long Beach, CA, United States: IEEE. <a href=\"https://doi.org/10.1109/cvpr.2019.00534\">https://doi.org/10.1109/cvpr.2019.00534</a>","chicago":"Karlinsky, Leonid, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogerio Feris, Raja Giryes, and Alex M. Bronstein. “Repmet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection.” In <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>. IEEE, 2020. <a href=\"https://doi.org/10.1109/cvpr.2019.00534\">https://doi.org/10.1109/cvpr.2019.00534</a>.","short":"L. Karlinsky, J. Shtok, S. Harary, E. Schwartz, A. Aides, R. Feris, R. Giryes, A.M. Bronstein, in:, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2020."},"doi":"10.1109/cvpr.2019.00534","publication_status":"published","year":"2020","article_processing_charge":"No","author":[{"full_name":"Karlinsky, Leonid","first_name":"Leonid","last_name":"Karlinsky"},{"full_name":"Shtok, Joseph","first_name":"Joseph","last_name":"Shtok"},{"full_name":"Harary, Sivan","first_name":"Sivan","last_name":"Harary"},{"last_name":"Schwartz","first_name":"Eli","full_name":"Schwartz, Eli"},{"first_name":"Amit","last_name":"Aides","full_name":"Aides, Amit"},{"full_name":"Feris, Rogerio","last_name":"Feris","first_name":"Rogerio"},{"last_name":"Giryes","first_name":"Raja","full_name":"Giryes, Raja"},{"id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","full_name":"Bronstein, Alexander","orcid":"0000-0001-9699-8730","last_name":"Bronstein","first_name":"Alexander"}],"user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","title":"Repmet: Representative-based metric learning for classification and few-shot object detection","date_published":"2020-01-09T00:00:00Z","date_updated":"2024-12-05T15:38:16Z","article_number":"8953439","day":"09","publication_identifier":{"eissn":["2575-7075"],"isbn":["9781728132945"]},"conference":{"end_date":"2019-06-20","start_date":"2019-06-15","location":"Long Beach, CA, United States","name":"32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition"},"type":"conference"},{"publisher":"IEEE","date_created":"2024-10-08T13:08:26Z","abstract":[{"text":"Example synthesis is one of the leading methods to tackle the problem of few-shot learning, where only a small number of samples per class are available. However, current synthesis approaches only address the scenario of a single category label per image. In this work, we propose a novel technique for synthesizing samples with multiple labels for the (yet unhandled) multi-label few-shot classification scenario. We propose to combine pairs of given examples in feature space, so that the resulting synthesized feature vectors will correspond to examples whose label sets are obtained through certain set operations on the label sets of the corresponding input pairs. Thus, our method is capable of producing a sample containing the intersection, union or set-difference of labels present in two input samples. As we show, these set operations generalize to labels unseen during training. This enables performing augmentation on examples of novel categories, thus, facilitating multi-label few-shot classifier learning. We conduct numerous experiments showing promising results for the label-set manipulation capabilities of the proposed approach, both directly (using the classification and retrieval metrics), and in the context of performing data augmentation for multi-label few-shot learning. We propose a benchmark for this new and challenging task and show that our method compares favorably to all the common baselines.","lang":"eng"}],"language":[{"iso":"eng"}],"status":"public","month":"01","publication":"2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","oa":1,"type":"conference","publication_status":"published","year":"2020","article_processing_charge":"No","article_number":"8954088","date_published":"2020-01-09T00:00:00Z","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","scopus_import":"1","citation":{"short":"A. Alfassy, L. Karlinsky, A. Aides, J. Shtok, S. Harary, R. Feris, R. Giryes, A.M. Bronstein, in:, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2020.","chicago":"Alfassy, Amit, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, and Alex M. Bronstein. “Laso: Label-Set Operations Networks for Multi-Label Few-Shot Learning.” In <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>. IEEE, 2020. <a href=\"https://doi.org/10.1109/cvpr.2019.00671\">https://doi.org/10.1109/cvpr.2019.00671</a>.","ama":"Alfassy A, Karlinsky L, Aides A, et al. Laso: Label-set operations networks for multi-label few-shot learning. In: <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>. IEEE; 2020. doi:<a href=\"https://doi.org/10.1109/cvpr.2019.00671\">10.1109/cvpr.2019.00671</a>","ista":"Alfassy A, Karlinsky L, Aides A, Shtok J, Harary S, Feris R, Giryes R, Bronstein AM. 2020. Laso: Label-set operations networks for multi-label few-shot learning. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, 8954088.","apa":"Alfassy, A., Karlinsky, L., Aides, A., Shtok, J., Harary, S., Feris, R., … Bronstein, A. M. (2020). Laso: Label-set operations networks for multi-label few-shot learning. In <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>. Long Beach, CA, United States: IEEE. <a href=\"https://doi.org/10.1109/cvpr.2019.00671\">https://doi.org/10.1109/cvpr.2019.00671</a>","mla":"Alfassy, Amit, et al. “Laso: Label-Set Operations Networks for Multi-Label Few-Shot Learning.” <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>, 8954088, IEEE, 2020, doi:<a href=\"https://doi.org/10.1109/cvpr.2019.00671\">10.1109/cvpr.2019.00671</a>.","ieee":"A. Alfassy <i>et al.</i>, “Laso: Label-set operations networks for multi-label few-shot learning,” in <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>, Long Beach, CA, United States, 2020."},"doi":"10.1109/cvpr.2019.00671","quality_controlled":"1","oa_version":"Preprint","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.1902.09811","open_access":"1"}],"_id":"18259","extern":"1","arxiv":1,"day":"09","publication_identifier":{"eissn":["2575-7075"],"isbn":["9781728132945"]},"external_id":{"arxiv":["1902.09811"]},"conference":{"start_date":"2019-06-15","location":"Long Beach, CA, United States","name":"32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition","end_date":"2019-06-20"},"author":[{"full_name":"Alfassy, Amit","last_name":"Alfassy","first_name":"Amit"},{"full_name":"Karlinsky, Leonid","last_name":"Karlinsky","first_name":"Leonid"},{"full_name":"Aides, Amit","last_name":"Aides","first_name":"Amit"},{"full_name":"Shtok, Joseph","first_name":"Joseph","last_name":"Shtok"},{"last_name":"Harary","first_name":"Sivan","full_name":"Harary, Sivan"},{"first_name":"Rogerio","last_name":"Feris","full_name":"Feris, Rogerio"},{"last_name":"Giryes","first_name":"Raja","full_name":"Giryes, Raja"},{"orcid":"0000-0001-9699-8730","last_name":"Bronstein","first_name":"Alexander","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6","full_name":"Bronstein, Alexander"}],"title":"Laso: Label-set operations networks for multi-label few-shot learning","date_updated":"2024-12-05T15:33:21Z"},{"month":"01","oa_version":"None","status":"public","publication":"2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","quality_controlled":"1","extern":"1","_id":"18260","doi":"10.1109/cvpr.2019.00450","citation":{"mla":"Halimi, Oshri, et al. “Unsupervised Learning of Dense Shape Correspondence.” <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>, 8953366, IEEE, 2020, doi:<a href=\"https://doi.org/10.1109/cvpr.2019.00450\">10.1109/cvpr.2019.00450</a>.","ieee":"O. Halimi, O. Litany, E. R. Rodola, A. M. Bronstein, and R. Kimmel, “Unsupervised learning of dense shape correspondence,” in <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>, Long Beach, CA, United States, 2020.","apa":"Halimi, O., Litany, O., Rodola, E. R., Bronstein, A. M., &#38; Kimmel, R. (2020). Unsupervised learning of dense shape correspondence. In <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>. Long Beach, CA, United States: IEEE. <a href=\"https://doi.org/10.1109/cvpr.2019.00450\">https://doi.org/10.1109/cvpr.2019.00450</a>","ista":"Halimi O, Litany O, Rodola ER, Bronstein AM, Kimmel R. 2020. Unsupervised learning of dense shape correspondence. 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition, 8953366.","ama":"Halimi O, Litany O, Rodola ER, Bronstein AM, Kimmel R. Unsupervised learning of dense shape correspondence. In: <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>. IEEE; 2020. doi:<a href=\"https://doi.org/10.1109/cvpr.2019.00450\">10.1109/cvpr.2019.00450</a>","chicago":"Halimi, Oshri, Or Litany, Emanuele Rodola Rodola, Alex M. Bronstein, and Ron Kimmel. “Unsupervised Learning of Dense Shape Correspondence.” In <i>2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</i>. IEEE, 2020. <a href=\"https://doi.org/10.1109/cvpr.2019.00450\">https://doi.org/10.1109/cvpr.2019.00450</a>.","short":"O. Halimi, O. Litany, E.R. Rodola, A.M. Bronstein, R. Kimmel, in:, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), IEEE, 2020."},"language":[{"iso":"eng"}],"publisher":"IEEE","date_created":"2024-10-08T13:08:43Z","scopus_import":"1","abstract":[{"lang":"eng","text":"We introduce the first completely unsupervised correspondence learning approach for deformable 3D shapes. Key to our model is the understanding that natural deformations (such as changes in pose) approximately preserve the metric structure of the surface, yielding a natural criterion to drive the learning process toward distortion-minimizing predictions. On this basis, we overcome the need for annotated data and replace it by a purely geometric criterion. The resulting learning model is class-agnostic, and is able to leverage any type of deformable geometric data for the training phase. In contrast to existing supervised approaches which specialize on the class seen at training time, we demonstrate stronger generalization as well as applicability to a variety of challenging settings. We showcase our method on a wide selection of correspondence benchmarks, where we outperform other methods in terms of accuracy, generalization, and efficiency."}],"title":"Unsupervised learning of dense shape correspondence","date_published":"2020-01-09T00:00:00Z","date_updated":"2024-12-05T15:19:01Z","article_number":"8953366","user_id":"3E5EF7F0-F248-11E8-B48F-1D18A9856A87","author":[{"first_name":"Oshri","last_name":"Halimi","full_name":"Halimi, Oshri"},{"first_name":"Or","last_name":"Litany","full_name":"Litany, Or"},{"full_name":"Rodola, Emanuele Rodola","last_name":"Rodola","first_name":"Emanuele Rodola"},{"last_name":"Bronstein","orcid":"0000-0001-9699-8730","first_name":"Alexander","full_name":"Bronstein, Alexander","id":"58f3726e-7cba-11ef-ad8b-e6e8cb3904e6"},{"full_name":"Kimmel, Ron","first_name":"Ron","last_name":"Kimmel"}],"publication_status":"published","year":"2020","article_processing_charge":"No","conference":{"location":"Long Beach, CA, United States","name":"32nd IEEE/CVF Conference on Computer Vision and Pattern Recognition","start_date":"2019-06-15","end_date":"2019-06-20"},"type":"conference","day":"09","publication_identifier":{"eissn":["2575-7075"],"isbn":["9781728132945"]}},{"scopus_import":"1","volume":222,"doi":"10.1007/s00222-020-00964-9","citation":{"ama":"Killip R, Murphy J, Vişan M. Invariance of white noise for KdV on the line. <i>Inventiones mathematicae</i>. 2020;222(1):203-282. doi:<a href=\"https://doi.org/10.1007/s00222-020-00964-9\">10.1007/s00222-020-00964-9</a>","apa":"Killip, R., Murphy, J., &#38; Vişan, M. (2020). Invariance of white noise for KdV on the line. <i>Inventiones Mathematicae</i>. Springer Nature. <a href=\"https://doi.org/10.1007/s00222-020-00964-9\">https://doi.org/10.1007/s00222-020-00964-9</a>","ista":"Killip R, Murphy J, Vişan M. 2020. Invariance of white noise for KdV on the line. Inventiones mathematicae. 222(1), 203–282.","mla":"Killip, Rowan, et al. “Invariance of White Noise for KdV on the Line.” <i>Inventiones Mathematicae</i>, vol. 222, no. 1, Springer Nature, 2020, pp. 203–82, doi:<a href=\"https://doi.org/10.1007/s00222-020-00964-9\">10.1007/s00222-020-00964-9</a>.","ieee":"R. Killip, J. Murphy, and M. Vişan, “Invariance of white noise for KdV on the line,” <i>Inventiones mathematicae</i>, vol. 222, no. 1. Springer Nature, pp. 203–282, 2020.","short":"R. Killip, J. Murphy, M. Vişan, Inventiones Mathematicae 222 (2020) 203–282.","chicago":"Killip, Rowan, Jason Murphy, and Monica Vişan. “Invariance of White Noise for KdV on the Line.” <i>Inventiones Mathematicae</i>. Springer Nature, 2020. <a href=\"https://doi.org/10.1007/s00222-020-00964-9\">https://doi.org/10.1007/s00222-020-00964-9</a>."},"extern":"1","_id":"22054","oa_version":"Preprint","quality_controlled":"1","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.1904.11910","open_access":"1"}],"day":"01","publication_identifier":{"eissn":["1432-1297"],"issn":["0020-9910"]},"article_type":"original","arxiv":1,"OA_place":"repository","external_id":{"arxiv":["1904.11910"]},"author":[{"full_name":"Killip, Rowan","last_name":"Killip","first_name":"Rowan"},{"first_name":"Jason","last_name":"Murphy","full_name":"Murphy, Jason"},{"first_name":"Monica","last_name":"Visan","full_name":"Visan, Monica","id":"056daca0-b8d1-11f0-964f-f91054abf8ca"}],"title":"Invariance of white noise for KdV on the line","date_updated":"2026-06-25T08:39:30Z","date_created":"2026-06-19T07:56:16Z","abstract":[{"lang":"eng","text":"We consider the Korteweg–de Vries equation with white noise initial data, posed on the whole real line, and prove the almost sure existence of solutions. Moreover, we show that the solutions obey the group property and follow a white noise law at all times, past or future. As an offshoot of our methods, we also obtain a new proof of the existence of solutions and the invariance of white noise measure in the torus setting."}],"publisher":"Springer Nature","language":[{"iso":"eng"}],"OA_type":"green","intvolume":"       222","issue":"1","das_tickbox":"1","publication":"Inventiones mathematicae","month":"10","status":"public","page":"203-282","type":"journal_article","oa":1,"publication_status":"published","year":"2020","article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2020-10-01T00:00:00Z"},{"page":"135-163","oa":1,"type":"journal_article","publication_status":"published","article_processing_charge":"No","year":"2020","date_published":"2020-01-01T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"Society for Industrial & Applied Mathematics","date_created":"2026-06-19T08:26:32Z","abstract":[{"text":"We consider discrete analogues of two well-known open problems regarding invariant measures for dispersive PDE, namely, the invariance of the Gibbs measure for the continuum (classical) Heisenberg model and the invariance of white noise under focusing cubic nonlinear Schrödinger equation. These continuum models are completely integrable and connected by the Hasimoto transform; correspondingly, we focus our attention on discretizations that are also completely integrable and also connected by a discrete Hasimoto transform. We consider these models on the infinite lattice ℤ. Concretely, for a completely integrable variant of the classical Heisenberg spin chain model (introduced independently by Haldane, Ishimori, and Sklyanin) we prove the existence and uniqueness of solutions for initial data following a Gibbs law (which we show is unique) and show that the Gibbs measure is preserved under these dynamics. In the setting of the focusing Ablowitz--Ladik system, we prove invariance of a measure that we will show is the appropriate discrete analogue of white noise. We also include a thorough discussion of the Poisson geometry associated to the discrete Hasimoto transform introduced by Ishimori that connects the two models studied in this article.","lang":"eng"}],"intvolume":"        52","OA_type":"green","language":[{"iso":"eng"}],"issue":"1","publication":"SIAM Journal on Mathematical Analysis","status":"public","month":"01","das_tickbox":"1","mathsc":["35Q55","35Q51","35Q82"],"arxiv":1,"day":"01","publication_identifier":{"issn":["0036-1410"],"eissn":["1095-7154"]},"article_type":"original","external_id":{"arxiv":["1807.08801"]},"OA_place":"repository","author":[{"full_name":"Angelopoulos, Yannis","first_name":"Yannis","last_name":"Angelopoulos"},{"last_name":"Killip","first_name":"Rowan","full_name":"Killip, Rowan"},{"last_name":"Visan","first_name":"Monica","full_name":"Visan, Monica","id":"056daca0-b8d1-11f0-964f-f91054abf8ca"}],"title":"Invariant measures for integrable spin chains and an integrable discrete nonlinear Schrödinger equation","date_updated":"2026-06-30T12:21:20Z","volume":52,"scopus_import":"1","doi":"10.1137/19m1265314","citation":{"mla":"Angelopoulos, Yannis, et al. “Invariant Measures for Integrable Spin Chains and an Integrable Discrete Nonlinear Schrödinger Equation.” <i>SIAM Journal on Mathematical Analysis</i>, vol. 52, no. 1, Society for Industrial &#38; Applied Mathematics, 2020, pp. 135–63, doi:<a href=\"https://doi.org/10.1137/19m1265314\">10.1137/19m1265314</a>.","ieee":"Y. Angelopoulos, R. Killip, and M. Vişan, “Invariant measures for integrable spin chains and an integrable discrete nonlinear Schrödinger equation,” <i>SIAM Journal on Mathematical Analysis</i>, vol. 52, no. 1. Society for Industrial &#38; Applied Mathematics, pp. 135–163, 2020.","ama":"Angelopoulos Y, Killip R, Vişan M. Invariant measures for integrable spin chains and an integrable discrete nonlinear Schrödinger equation. <i>SIAM Journal on Mathematical Analysis</i>. 2020;52(1):135-163. doi:<a href=\"https://doi.org/10.1137/19m1265314\">10.1137/19m1265314</a>","ista":"Angelopoulos Y, Killip R, Vişan M. 2020. Invariant measures for integrable spin chains and an integrable discrete nonlinear Schrödinger equation. SIAM Journal on Mathematical Analysis. 52(1), 135–163.","apa":"Angelopoulos, Y., Killip, R., &#38; Vişan, M. (2020). Invariant measures for integrable spin chains and an integrable discrete nonlinear Schrödinger equation. <i>SIAM Journal on Mathematical Analysis</i>. Society for Industrial &#38; Applied Mathematics. <a href=\"https://doi.org/10.1137/19m1265314\">https://doi.org/10.1137/19m1265314</a>","chicago":"Angelopoulos, Yannis, Rowan Killip, and Monica Vişan. “Invariant Measures for Integrable Spin Chains and an Integrable Discrete Nonlinear Schrödinger Equation.” <i>SIAM Journal on Mathematical Analysis</i>. Society for Industrial &#38; Applied Mathematics, 2020. <a href=\"https://doi.org/10.1137/19m1265314\">https://doi.org/10.1137/19m1265314</a>.","short":"Y. Angelopoulos, R. Killip, M. Vişan, SIAM Journal on Mathematical Analysis 52 (2020) 135–163."},"quality_controlled":"1","oa_version":"Preprint","main_file_link":[{"url":"https://doi.org/10.48550/arXiv.1807.08801","open_access":"1"}],"_id":"22080","extern":"1"},{"author":[{"id":"4DBD5372-F248-11E8-B48F-1D18A9856A87","full_name":"Erdös, László","first_name":"László","orcid":"0000-0001-5366-9603","last_name":"Erdös"},{"full_name":"Götze, Friedrich","first_name":"Friedrich","last_name":"Götze"},{"full_name":"Guionnet, Alice","first_name":"Alice","last_name":"Guionnet"}],"year":"2020","article_processing_charge":"No","publication_status":"published","date_published":"2020-11-19T00:00:00Z","date_updated":"2026-07-06T11:53:24Z","title":"Random matrices","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"3459-3527","article_type":"original","publication_identifier":{"issn":["1660-8933"]},"day":"19","type":"journal_article","issue":"4","quality_controlled":"1","publication":"Oberwolfach Reports","status":"public","month":"11","oa_version":"None","das_tickbox":"1","_id":"15079","volume":16,"publisher":"EMS Press","department":[{"_id":"LaEr"}],"abstract":[{"text":"Large complex systems tend to develop universal patterns that often represent their essential characteristics. For example, the cumulative effects of independent or weakly dependent random variables often yield the Gaussian universality class via the central limit theorem. For non-commutative random variables, e.g. matrices, the Gaussian behavior is often replaced by another universality class, commonly called random matrix statistics. Nearby eigenvalues are strongly correlated, and, remarkably, their correlation structure is universal, depending only on the symmetry type of the matrix. Even more surprisingly, this feature is not restricted to matrices; in fact Eugene Wigner, the pioneer of the field, discovered in the 1950s that distributions of the gaps between energy levels of complicated quantum systems universally follow the same random matrix statistics. This claim has never been rigorously proved for any realistic physical system but experimental data and extensive numerics leave no doubt as to its correctness. Since then random matrices have proved to be extremely useful phenomenological models in a wide range of applications beyond quantum physics that include number theory, statistics, neuroscience, population dynamics, wireless communication and mathematical finance. The ubiquity of random matrices in natural sciences is still a mystery, but recent years have witnessed a breakthrough in the mathematical description of the statistical structure of their spectrum. Random matrices and closely related areas such as log-gases have become an extremely active research area in probability theory.\r\nThis workshop brought together outstanding researchers from a variety of mathematical backgrounds whose areas of research are linked to random matrices. While there are strong links between their motivations, the techniques used by these researchers span a large swath of mathematics, ranging from purely algebraic techniques to stochastic analysis, classical probability theory, operator algebra, supersymmetry, orthogonal polynomials, etc.","lang":"eng"}],"date_created":"2024-03-05T07:54:44Z","citation":{"chicago":"Erdös, László, Friedrich Götze, and Alice Guionnet. “Random Matrices.” <i>Oberwolfach Reports</i>. EMS Press, 2020. <a href=\"https://doi.org/10.4171/owr/2019/56\">https://doi.org/10.4171/owr/2019/56</a>.","short":"L. Erdös, F. Götze, A. Guionnet, Oberwolfach Reports 16 (2020) 3459–3527.","ieee":"L. Erdös, F. Götze, and A. Guionnet, “Random matrices,” <i>Oberwolfach Reports</i>, vol. 16, no. 4. EMS Press, pp. 3459–3527, 2020.","mla":"Erdös, László, et al. “Random Matrices.” <i>Oberwolfach Reports</i>, vol. 16, no. 4, EMS Press, 2020, pp. 3459–527, doi:<a href=\"https://doi.org/10.4171/owr/2019/56\">10.4171/owr/2019/56</a>.","apa":"Erdös, L., Götze, F., &#38; Guionnet, A. (2020). Random matrices. <i>Oberwolfach Reports</i>. EMS Press. <a href=\"https://doi.org/10.4171/owr/2019/56\">https://doi.org/10.4171/owr/2019/56</a>","ama":"Erdös L, Götze F, Guionnet A. Random matrices. <i>Oberwolfach Reports</i>. 2020;16(4):3459-3527. doi:<a href=\"https://doi.org/10.4171/owr/2019/56\">10.4171/owr/2019/56</a>","ista":"Erdös L, Götze F, Guionnet A. 2020. Random matrices. Oberwolfach Reports. 16(4), 3459–3527."},"intvolume":"        16","doi":"10.4171/owr/2019/56","language":[{"iso":"eng"}]},{"page":"2331-2403","oa":1,"type":"journal_article","isi":1,"publication_status":"published","article_processing_charge":"No","year":"2020","date_published":"2020-07-01T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","publisher":"EMS Press","abstract":[{"lang":"eng","text":"We consider systems of N bosons in a box of volume one, interacting through a repulsive two-body potential of the form κN3β−1V(Nβx). For all 0<β<1, and for sufficiently small coupling constant κ>0, we establish the validity of Bogolyubov theory, identifying the ground state energy and the low-lying excitation spectrum up to errors that vanish in the limit of large N."}],"date_created":"2020-06-29T07:59:35Z","intvolume":"        22","language":[{"iso":"eng"}],"issue":"7","publication":"Journal of the European Mathematical Society","month":"07","status":"public","das_tickbox":"1","arxiv":1,"day":"01","article_type":"original","publication_identifier":{"issn":["1435-9855"]},"external_id":{"isi":["000548174700006"],"arxiv":["1704.04819"]},"author":[{"id":"342E7E22-F248-11E8-B48F-1D18A9856A87","full_name":"Boccato, Chiara","first_name":"Chiara","last_name":"Boccato"},{"full_name":"Brennecke, Christian","first_name":"Christian","last_name":"Brennecke"},{"full_name":"Cenatiempo, Serena","first_name":"Serena","last_name":"Cenatiempo"},{"full_name":"Schlein, Benjamin","first_name":"Benjamin","last_name":"Schlein"}],"title":"The excitation spectrum of Bose gases interacting through singular potentials","date_updated":"2026-07-06T11:53:41Z","volume":22,"department":[{"_id":"RoSe"}],"scopus_import":"1","citation":{"chicago":"Boccato, Chiara, Christian Brennecke, Serena Cenatiempo, and Benjamin Schlein. “The Excitation Spectrum of Bose Gases Interacting through Singular Potentials.” <i>Journal of the European Mathematical Society</i>. EMS Press, 2020. <a href=\"https://doi.org/10.4171/JEMS/966\">https://doi.org/10.4171/JEMS/966</a>.","short":"C. Boccato, C. Brennecke, S. Cenatiempo, B. Schlein, Journal of the European Mathematical Society 22 (2020) 2331–2403.","mla":"Boccato, Chiara, et al. “The Excitation Spectrum of Bose Gases Interacting through Singular Potentials.” <i>Journal of the European Mathematical Society</i>, vol. 22, no. 7, EMS Press, 2020, pp. 2331–403, doi:<a href=\"https://doi.org/10.4171/JEMS/966\">10.4171/JEMS/966</a>.","ieee":"C. Boccato, C. Brennecke, S. Cenatiempo, and B. Schlein, “The excitation spectrum of Bose gases interacting through singular potentials,” <i>Journal of the European Mathematical Society</i>, vol. 22, no. 7. EMS Press, pp. 2331–2403, 2020.","ista":"Boccato C, Brennecke C, Cenatiempo S, Schlein B. 2020. The excitation spectrum of Bose gases interacting through singular potentials. Journal of the European Mathematical Society. 22(7), 2331–2403.","ama":"Boccato C, Brennecke C, Cenatiempo S, Schlein B. The excitation spectrum of Bose gases interacting through singular potentials. <i>Journal of the European Mathematical Society</i>. 2020;22(7):2331-2403. doi:<a href=\"https://doi.org/10.4171/JEMS/966\">10.4171/JEMS/966</a>","apa":"Boccato, C., Brennecke, C., Cenatiempo, S., &#38; Schlein, B. (2020). The excitation spectrum of Bose gases interacting through singular potentials. <i>Journal of the European Mathematical Society</i>. EMS Press. <a href=\"https://doi.org/10.4171/JEMS/966\">https://doi.org/10.4171/JEMS/966</a>"},"doi":"10.4171/JEMS/966","quality_controlled":"1","oa_version":"Preprint","main_file_link":[{"url":"https://arxiv.org/abs/1704.04819","open_access":"1"}],"_id":"8042"},{"oa_version":"Preprint","quality_controlled":"1","main_file_link":[{"url":"https://arxiv.org/abs/1906.08463","open_access":"1"}],"_id":"9007","volume":95,"department":[{"_id":"TiBr"}],"scopus_import":"1","doi":"10.4171/CMH/499","citation":{"ama":"Browning TD, Sawin W. Free rational points on smooth hypersurfaces. <i>Commentarii Mathematici Helvetici</i>. 2020;95(4):635-659. doi:<a href=\"https://doi.org/10.4171/CMH/499\">10.4171/CMH/499</a>","apa":"Browning, T. D., &#38; Sawin, W. (2020). Free rational points on smooth hypersurfaces. <i>Commentarii Mathematici Helvetici</i>. EMS Press. <a href=\"https://doi.org/10.4171/CMH/499\">https://doi.org/10.4171/CMH/499</a>","ista":"Browning TD, Sawin W. 2020. Free rational points on smooth hypersurfaces. Commentarii Mathematici Helvetici. 95(4), 635–659.","ieee":"T. D. Browning and W. Sawin, “Free rational points on smooth hypersurfaces,” <i>Commentarii Mathematici Helvetici</i>, vol. 95, no. 4. EMS Press, pp. 635–659, 2020.","mla":"Browning, Timothy D., and Will Sawin. “Free Rational Points on Smooth Hypersurfaces.” <i>Commentarii Mathematici Helvetici</i>, vol. 95, no. 4, EMS Press, 2020, pp. 635–59, doi:<a href=\"https://doi.org/10.4171/CMH/499\">10.4171/CMH/499</a>.","short":"T.D. Browning, W. Sawin, Commentarii Mathematici Helvetici 95 (2020) 635–659.","chicago":"Browning, Timothy D, and Will Sawin. “Free Rational Points on Smooth Hypersurfaces.” <i>Commentarii Mathematici Helvetici</i>. EMS Press, 2020. <a href=\"https://doi.org/10.4171/CMH/499\">https://doi.org/10.4171/CMH/499</a>."},"author":[{"full_name":"Browning, Timothy D","id":"35827D50-F248-11E8-B48F-1D18A9856A87","last_name":"Browning","orcid":"0000-0002-8314-0177","first_name":"Timothy D"},{"first_name":"Will","last_name":"Sawin","full_name":"Sawin, Will"}],"title":"Free rational points on smooth hypersurfaces","date_updated":"2026-07-06T11:54:01Z","arxiv":1,"day":"07","publication_identifier":{"issn":["0010-2571"],"eissn":["1420-8946"]},"article_type":"original","external_id":{"isi":["000596833300001"],"arxiv":["1906.08463"]},"issue":"4","month":"12","publication":"Commentarii Mathematici Helvetici","status":"public","das_tickbox":"1","publisher":"EMS Press","abstract":[{"text":"Motivated by a recent question of Peyre, we apply the Hardy–Littlewood circle method to count “sufficiently free” rational points of bounded height on arbitrary smooth projective hypersurfaces of low degree that are defined over the rationals.","lang":"eng"}],"date_created":"2021-01-17T23:01:11Z","intvolume":"        95","language":[{"iso":"eng"}],"publication_status":"published","year":"2020","article_processing_charge":"No","date_published":"2020-12-07T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","page":"635-659","oa":1,"type":"journal_article","isi":1},{"doi":"10.4171/owr/2019/23","citation":{"chicago":"Anderson, Lara, Tamás Hausel, Rafe Mazzeo, and Laura Schaposnik. “Geometry and Physics of Higgs Bundles.” <i>Oberwolfach Reports</i>. EMS Press, 2020. <a href=\"https://doi.org/10.4171/owr/2019/23\">https://doi.org/10.4171/owr/2019/23</a>.","short":"L. Anderson, T. Hausel, R. Mazzeo, L. Schaposnik, Oberwolfach Reports 16 (2020) 1357–1417.","mla":"Anderson, Lara, et al. “Geometry and Physics of Higgs Bundles.” <i>Oberwolfach Reports</i>, vol. 16, no. 2, EMS Press, 2020, pp. 1357–417, doi:<a href=\"https://doi.org/10.4171/owr/2019/23\">10.4171/owr/2019/23</a>.","ieee":"L. Anderson, T. Hausel, R. Mazzeo, and L. Schaposnik, “Geometry and physics of Higgs bundles,” <i>Oberwolfach Reports</i>, vol. 16, no. 2. EMS Press, pp. 1357–1417, 2020.","apa":"Anderson, L., Hausel, T., Mazzeo, R., &#38; Schaposnik, L. (2020). Geometry and physics of Higgs bundles. <i>Oberwolfach Reports</i>. EMS Press. <a href=\"https://doi.org/10.4171/owr/2019/23\">https://doi.org/10.4171/owr/2019/23</a>","ista":"Anderson L, Hausel T, Mazzeo R, Schaposnik L. 2020. Geometry and physics of Higgs bundles. Oberwolfach Reports. 16(2), 1357–1417.","ama":"Anderson L, Hausel T, Mazzeo R, Schaposnik L. Geometry and physics of Higgs bundles. <i>Oberwolfach Reports</i>. 2020;16(2):1357-1417. doi:<a href=\"https://doi.org/10.4171/owr/2019/23\">10.4171/owr/2019/23</a>"},"volume":16,"department":[{"_id":"TaHa"}],"quality_controlled":"1","oa_version":"None","_id":"15070","publication_identifier":{"issn":["1660-8933"]},"article_type":"original","day":"04","date_updated":"2026-07-06T11:52:54Z","title":"Geometry and physics of Higgs bundles","author":[{"first_name":"Lara","last_name":"Anderson","full_name":"Anderson, Lara"},{"full_name":"Hausel, Tamás","id":"4A0666D8-F248-11E8-B48F-1D18A9856A87","last_name":"Hausel","orcid":"0000-0002-9582-2634","first_name":"Tamás"},{"full_name":"Mazzeo, Rafe","last_name":"Mazzeo","first_name":"Rafe"},{"first_name":"Laura","last_name":"Schaposnik","full_name":"Schaposnik, Laura"}],"intvolume":"        16","language":[{"iso":"eng"}],"publisher":"EMS Press","abstract":[{"text":"This workshop focused on interactions between the various perspectives on the moduli space of Higgs bundles over a Riemann surface. This subject draws on algebraic geometry, geometric topology, geometric analysis and mathematical physics, and the goal was to promote interactions between these various branches of the subject. The main current directions of research were well represented by the participants, and the talks included many from both senior and junior participants.","lang":"eng"}],"date_created":"2024-03-04T11:36:31Z","status":"public","month":"06","publication":"Oberwolfach Reports","das_tickbox":"1","issue":"2","type":"journal_article","page":"1357-1417","date_published":"2020-06-04T00:00:00Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","year":"2020","keyword":["Organic Chemistry","Biochemistry"],"article_processing_charge":"No","publication_status":"published"},{"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","title":"Many-body quantum systems","date_updated":"2026-07-06T11:53:09Z","date_published":"2020-09-10T00:00:00Z","publication_status":"published","year":"2020","article_processing_charge":"No","author":[{"full_name":"Hainzl, Christian","first_name":"Christian","last_name":"Hainzl"},{"last_name":"Schlein","first_name":"Benjamin","full_name":"Schlein, Benjamin"},{"first_name":"Robert","last_name":"Seiringer","orcid":"0000-0002-6781-0521","full_name":"Seiringer, Robert","id":"4AFD0470-F248-11E8-B48F-1D18A9856A87"},{"last_name":"Warzel","first_name":"Simone","full_name":"Warzel, Simone"}],"type":"journal_article","day":"10","article_type":"original","publication_identifier":{"issn":["1660-8933"]},"page":"2541-2603","_id":"15072","das_tickbox":"1","oa_version":"None","quality_controlled":"1","status":"public","publication":"Oberwolfach Reports","month":"09","issue":"3","language":[{"iso":"eng"}],"intvolume":"        16","doi":"10.4171/owr/2019/41","citation":{"chicago":"Hainzl, Christian, Benjamin Schlein, Robert Seiringer, and Simone Warzel. “Many-Body Quantum Systems.” <i>Oberwolfach Reports</i>. EMS Press, 2020. <a href=\"https://doi.org/10.4171/owr/2019/41\">https://doi.org/10.4171/owr/2019/41</a>.","short":"C. Hainzl, B. Schlein, R. Seiringer, S. Warzel, Oberwolfach Reports 16 (2020) 2541–2603.","ieee":"C. Hainzl, B. Schlein, R. Seiringer, and S. Warzel, “Many-body quantum systems,” <i>Oberwolfach Reports</i>, vol. 16, no. 3. EMS Press, pp. 2541–2603, 2020.","mla":"Hainzl, Christian, et al. “Many-Body Quantum Systems.” <i>Oberwolfach Reports</i>, vol. 16, no. 3, EMS Press, 2020, pp. 2541–603, doi:<a href=\"https://doi.org/10.4171/owr/2019/41\">10.4171/owr/2019/41</a>.","ista":"Hainzl C, Schlein B, Seiringer R, Warzel S. 2020. Many-body quantum systems. Oberwolfach Reports. 16(3), 2541–2603.","apa":"Hainzl, C., Schlein, B., Seiringer, R., &#38; Warzel, S. (2020). Many-body quantum systems. <i>Oberwolfach Reports</i>. EMS Press. <a href=\"https://doi.org/10.4171/owr/2019/41\">https://doi.org/10.4171/owr/2019/41</a>","ama":"Hainzl C, Schlein B, Seiringer R, Warzel S. Many-body quantum systems. <i>Oberwolfach Reports</i>. 2020;16(3):2541-2603. doi:<a href=\"https://doi.org/10.4171/owr/2019/41\">10.4171/owr/2019/41</a>"},"date_created":"2024-03-04T11:46:12Z","abstract":[{"text":"The interaction among fundamental particles in nature leads to many interesting effects in quantum statistical mechanics; examples include superconductivity for charged systems and superfluidity in cold gases. It is a huge challenge for mathematical physics to understand the collective behavior of systems containing a large number of particles, emerging from known microscopic interactions. In this workshop we brought together researchers working on different aspects of many-body quantum mechanics to discuss recent developments, exchange ideas and propose new challenges and research directions.","lang":"eng"}],"department":[{"_id":"RoSe"}],"publisher":"EMS Press","volume":16},{"das_tickbox":"1","publication":"Electronic Journal of Probability","status":"public","month":"10","ddc":["510"],"language":[{"iso":"eng"}],"intvolume":"        25","abstract":[{"text":"We consider the symmetric simple exclusion process in Zd with quenched bounded dynamic random conductances and prove its hydrodynamic limit in path space. The main tool is the connection, due to the self-duality of the process, between the invariance principle for single particles starting from all points and the macroscopic behavior of the density field. While the hydrodynamic limit at fixed macroscopic times is obtained via a generalization to the time-inhomogeneous context of the strategy introduced in [41], in order to prove tightness for the sequence of empirical density fields we develop a new criterion based on the notion of uniform conditional stochastic continuity, following [50]. In conclusion, we show that uniform elliptic dynamic conductances provide an example of environments in which the so-called arbitrary starting point invariance principle may be derived from the invariance principle of a single particle starting from the origin. Therefore, our hydrodynamics result applies to the examples of quenched environments considered in, e.g., [1], [3], [6] in combination with the hypothesis of uniform ellipticity.","lang":"eng"}],"date_created":"2020-12-27T23:01:17Z","has_accepted_license":"1","publisher":"Institute of Mathematical Statistics","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2020-10-21T00:00:00Z","article_number":"138","publication_status":"published","article_processing_charge":"No","year":"2020","file":[{"date_updated":"2020-12-28T08:24:08Z","success":1,"file_id":"8976","content_type":"application/pdf","access_level":"open_access","file_size":696653,"creator":"dernst","file_name":"2020_ElectronJProbab_Redig.pdf","checksum":"d75359b9814e78d57c0a481b7cde3751","relation":"main_file","date_created":"2020-12-28T08:24:08Z"}],"type":"journal_article","ec_funded":1,"isi":1,"oa":1,"_id":"8973","oa_version":"Published Version","quality_controlled":"1","project":[{"grant_number":"754411","name":"ISTplus - Postdoctoral Fellowships","_id":"260C2330-B435-11E9-9278-68D0E5697425","call_identifier":"H2020"}],"doi":"10.1214/20-EJP536","citation":{"mla":"Redig, Frank, et al. “Symmetric Simple Exclusion Process in Dynamic Environment: Hydrodynamics.” <i>Electronic Journal of Probability</i>, vol. 25, 138, Institute of Mathematical Statistics, 2020, doi:<a href=\"https://doi.org/10.1214/20-EJP536\">10.1214/20-EJP536</a>.","ieee":"F. Redig, E. Saada, and F. Sau, “Symmetric simple exclusion process in dynamic environment: Hydrodynamics,” <i>Electronic Journal of Probability</i>, vol. 25. Institute of Mathematical Statistics, 2020.","ama":"Redig F, Saada E, Sau F. Symmetric simple exclusion process in dynamic environment: Hydrodynamics. <i>Electronic Journal of Probability</i>. 2020;25. doi:<a href=\"https://doi.org/10.1214/20-EJP536\">10.1214/20-EJP536</a>","ista":"Redig F, Saada E, Sau F. 2020. Symmetric simple exclusion process in dynamic environment: Hydrodynamics. Electronic Journal of Probability. 25, 138.","apa":"Redig, F., Saada, E., &#38; Sau, F. (2020). Symmetric simple exclusion process in dynamic environment: Hydrodynamics. <i>Electronic Journal of Probability</i>. Institute of Mathematical Statistics. <a href=\"https://doi.org/10.1214/20-EJP536\">https://doi.org/10.1214/20-EJP536</a>","chicago":"Redig, Frank, Ellen Saada, and Federico Sau. “Symmetric Simple Exclusion Process in Dynamic Environment: Hydrodynamics.” <i>Electronic Journal of Probability</i>. Institute of Mathematical Statistics, 2020. <a href=\"https://doi.org/10.1214/20-EJP536\">https://doi.org/10.1214/20-EJP536</a>.","short":"F. Redig, E. Saada, F. Sau, Electronic Journal of Probability 25 (2020)."},"department":[{"_id":"JaMa"}],"scopus_import":"1","volume":25,"title":"Symmetric simple exclusion process in dynamic environment: Hydrodynamics","date_updated":"2026-07-06T12:04:40Z","author":[{"full_name":"Redig, Frank","first_name":"Frank","last_name":"Redig"},{"full_name":"Saada, Ellen","first_name":"Ellen","last_name":"Saada"},{"first_name":"Federico","last_name":"Sau","full_name":"Sau, Federico","id":"E1836206-9F16-11E9-8814-AEFDE5697425"}],"external_id":{"arxiv":["1811.01366"],"isi":["000591737500001"]},"day":"21","acknowledgement":"We warmly thank S.R.S. Varadhan for many enlightening discussions at an early stage of this work. We are indebted to Francesca Collet for fruitful discussions and constant support all throughout this work. We thank Simone Floreani\r\nand Alberto Chiarini for helpful conversations on the final part of this paper as well as both referees for their careful reading and for raising relevant issues on some weak points contained in a previous version of this manuscript; we believe this helped us to improve it.\r\nPart of this work was done during the authors’ stay at the Institut Henri Poincaré (UMS 5208 CNRS-Sorbonne Université) – Centre Emile Borel during the trimester Stochastic Dynamics Out of Equilibrium. The authors thank this institution for hospitality and support (through LabEx CARMIN, ANR-10-LABX-59-01). F.S. thanks laboratoire\r\nMAP5 of Université de Paris, and E.S. thanks Delft University, for financial support and hospitality. F.S. acknowledges NWO for financial support via the TOP1 grant 613.001.552 as well as funding from the European Union’s Horizon 2020 research and innovation programme under the Marie-Skłodowska-Curie grant agreement No. 754411. This research has been conducted within the FP2M federation (CNRS FR 2036).","publication_identifier":{"eissn":["1083-6489"]},"article_type":"original","file_date_updated":"2020-12-28T08:24:08Z","arxiv":1},{"doi":"10.1021/jacs.9b13450","citation":{"chicago":"Gupta, Chitrak, Umesh Khaniya, Chun Kit Chan, Francois Dehez, Mrinal Shekhar, M. R. Gunner, Leonid A Sazanov, Christophe Chipot, and Abhishek Singharoy. “Charge Transfer and Chemo-Mechanical Coupling in Respiratory Complex I.” <i>Journal of the American Chemical Society</i>. American Chemical Society, 2020. <a href=\"https://doi.org/10.1021/jacs.9b13450\">https://doi.org/10.1021/jacs.9b13450</a>.","short":"C. Gupta, U. Khaniya, C.K. Chan, F. Dehez, M. Shekhar, M.R. Gunner, L.A. Sazanov, C. Chipot, A. Singharoy, Journal of the American Chemical Society 142 (2020) 9220–9230.","ieee":"C. Gupta <i>et al.</i>, “Charge transfer and chemo-mechanical coupling in respiratory complex I,” <i>Journal of the American Chemical Society</i>, vol. 142, no. 20. American Chemical Society, pp. 9220–9230, 2020.","mla":"Gupta, Chitrak, et al. “Charge Transfer and Chemo-Mechanical Coupling in Respiratory Complex I.” <i>Journal of the American Chemical Society</i>, vol. 142, no. 20, American Chemical Society, 2020, pp. 9220–30, doi:<a href=\"https://doi.org/10.1021/jacs.9b13450\">10.1021/jacs.9b13450</a>.","ista":"Gupta C, Khaniya U, Chan CK, Dehez F, Shekhar M, Gunner MR, Sazanov LA, Chipot C, Singharoy A. 2020. Charge transfer and chemo-mechanical coupling in respiratory complex I. Journal of the American Chemical Society. 142(20), 9220–9230.","ama":"Gupta C, Khaniya U, Chan CK, et al. Charge transfer and chemo-mechanical coupling in respiratory complex I. <i>Journal of the American Chemical Society</i>. 2020;142(20):9220-9230. doi:<a href=\"https://doi.org/10.1021/jacs.9b13450\">10.1021/jacs.9b13450</a>","apa":"Gupta, C., Khaniya, U., Chan, C. K., Dehez, F., Shekhar, M., Gunner, M. R., … Singharoy, A. (2020). Charge transfer and chemo-mechanical coupling in respiratory complex I. <i>Journal of the American Chemical Society</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/jacs.9b13450\">https://doi.org/10.1021/jacs.9b13450</a>"},"scopus_import":"1","department":[{"_id":"LeSa"}],"volume":142,"_id":"8040","quality_controlled":"1","oa_version":"None","external_id":{"pmid":["32347721"],"isi":["000537415600020"]},"day":"20","related_material":{"record":[{"status":"public","id":"9878","relation":"research_data"},{"status":"public","id":"9326","relation":"research_data"},{"status":"public","id":"9713","relation":"research_data"}]},"article_type":"original","publication_identifier":{"eissn":["1520-5126"],"issn":["0002-7863"]},"title":"Charge transfer and chemo-mechanical coupling in respiratory complex I","date_updated":"2026-07-06T12:16:34Z","author":[{"last_name":"Gupta","first_name":"Chitrak","full_name":"Gupta, Chitrak"},{"first_name":"Umesh","last_name":"Khaniya","full_name":"Khaniya, Umesh"},{"first_name":"Chun Kit","last_name":"Chan","full_name":"Chan, Chun Kit"},{"last_name":"Dehez","first_name":"Francois","full_name":"Dehez, Francois"},{"full_name":"Shekhar, Mrinal","first_name":"Mrinal","last_name":"Shekhar"},{"first_name":"M. R.","last_name":"Gunner","full_name":"Gunner, M. R."},{"first_name":"Leonid A","last_name":"Sazanov","orcid":"0000-0002-0977-7989","full_name":"Sazanov, Leonid A","id":"338D39FE-F248-11E8-B48F-1D18A9856A87"},{"first_name":"Christophe","last_name":"Chipot","full_name":"Chipot, Christophe"},{"full_name":"Singharoy, Abhishek","first_name":"Abhishek","last_name":"Singharoy"}],"language":[{"iso":"eng"}],"intvolume":"       142","date_created":"2020-06-29T07:59:35Z","abstract":[{"lang":"eng","text":"The mitochondrial respiratory chain, formed by five protein complexes, utilizes energy from catabolic processes to synthesize ATP. Complex I, the first and the largest protein complex of the chain, harvests electrons from NADH to reduce quinone, while pumping protons across the mitochondrial membrane. Detailed knowledge of the working principle of such coupled charge-transfer processes remains, however, fragmentary due to bottlenecks in understanding redox-driven conformational transitions and their interplay with the hydrated proton pathways. Complex I from Thermus thermophilus encases 16 subunits with nine iron–sulfur clusters, reduced by electrons from NADH. Here, employing the latest crystal structure of T. thermophilus complex I, we have used microsecond-scale molecular dynamics simulations to study the chemo-mechanical coupling between redox changes of the iron–sulfur clusters and conformational transitions across complex I. First, we identify the redox switches within complex I, which allosterically couple the dynamics of the quinone binding pocket to the site of NADH reduction. Second, our free-energy calculations reveal that the affinity of the quinone, specifically menaquinone, for the binding-site is higher than that of its reduced, menaquinol form—a design essential for menaquinol release. Remarkably, the barriers to diffusive menaquinone dynamics are lesser than that of the more ubiquitous ubiquinone, and the naphthoquinone headgroup of the former furnishes stronger binding interactions with the pocket, favoring menaquinone for charge transport in T. thermophilus. Our computations are consistent with experimentally validated mutations and hierarchize the key residues into three functional classes, identifying new mutation targets. Third, long-range hydrogen-bond networks connecting the quinone-binding site to the transmembrane subunits are found to be responsible for proton pumping. Put together, the simulations reveal the molecular design principles linking redox reactions to quinone turnover to proton translocation in complex I."}],"pmid":1,"publisher":"American Chemical Society","corr_author":"1","publication":"Journal of the American Chemical Society","status":"public","month":"05","issue":"20","type":"journal_article","isi":1,"page":"9220-9230","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2020-05-20T00:00:00Z","publication_status":"published","article_processing_charge":"No","year":"2020"},{"department":[{"_id":"EdHa"}],"scopus_import":"1","volume":20,"citation":{"ista":"Ucar MC, Lipowsky R. 2020. Collective force generation by molecular motors is determined by strain-induced unbinding. Nano Letters. 20(1), 669–676.","ama":"Ucar MC, Lipowsky R. Collective force generation by molecular motors is determined by strain-induced unbinding. <i>Nano Letters</i>. 2020;20(1):669-676. doi:<a href=\"https://doi.org/10.1021/acs.nanolett.9b04445\">10.1021/acs.nanolett.9b04445</a>","apa":"Ucar, M. C., &#38; Lipowsky, R. (2020). Collective force generation by molecular motors is determined by strain-induced unbinding. <i>Nano Letters</i>. American Chemical Society. <a href=\"https://doi.org/10.1021/acs.nanolett.9b04445\">https://doi.org/10.1021/acs.nanolett.9b04445</a>","mla":"Ucar, Mehmet C., and Reinhard Lipowsky. “Collective Force Generation by Molecular Motors Is Determined by Strain-Induced Unbinding.” <i>Nano Letters</i>, vol. 20, no. 1, American Chemical Society, 2020, pp. 669–76, doi:<a href=\"https://doi.org/10.1021/acs.nanolett.9b04445\">10.1021/acs.nanolett.9b04445</a>.","ieee":"M. C. Ucar and R. Lipowsky, “Collective force generation by molecular motors is determined by strain-induced unbinding,” <i>Nano Letters</i>, vol. 20, no. 1. American Chemical Society, pp. 669–676, 2020.","short":"M.C. Ucar, R. Lipowsky, Nano Letters 20 (2020) 669–676.","chicago":"Ucar, Mehmet C, and Reinhard Lipowsky. “Collective Force Generation by Molecular Motors Is Determined by Strain-Induced Unbinding.” <i>Nano Letters</i>. American Chemical Society, 2020. <a href=\"https://doi.org/10.1021/acs.nanolett.9b04445\">https://doi.org/10.1021/acs.nanolett.9b04445</a>."},"doi":"10.1021/acs.nanolett.9b04445","_id":"7166","oa_version":"Published Version","quality_controlled":"1","main_file_link":[{"open_access":"1","url":"https://doi.org/10.1021/acs.nanolett.9b04445"}],"day":"08","publication_identifier":{"issn":["1530-6984"],"eissn":["1530-6992"]},"related_material":{"record":[{"status":"public","id":"9726","relation":"research_data"},{"status":"public","id":"9885","relation":"research_data"}]},"article_type":"letter_note","external_id":{"pmid":["31797672"],"isi":["000507151600087"]},"author":[{"full_name":"Ucar, Mehmet C","id":"50B2A802-6007-11E9-A42B-EB23E6697425","last_name":"Ucar","orcid":"0000-0003-0506-4217","first_name":"Mehmet C"},{"full_name":"Lipowsky, Reinhard","first_name":"Reinhard","last_name":"Lipowsky"}],"title":"Collective force generation by molecular motors is determined by strain-induced unbinding","date_updated":"2026-07-06T12:14:33Z","abstract":[{"text":"In the living cell, we encounter a large variety of motile processes such as organelle transport and cytoskeleton remodeling. These processes are driven by motor proteins that generate force by transducing chemical free energy into mechanical work. In many cases, the molecular motors work in teams to collectively generate larger forces. Recent optical trapping experiments on small teams of cytoskeletal motors indicated that the collectively generated force increases with the size of the motor team but that this increase depends on the motor type and on whether the motors are studied in vitro or in vivo. Here, we use the theory of stochastic processes to describe the motion of N motors in a stationary optical trap and to compute the N-dependence of the collectively generated forces. We consider six distinct motor types, two kinesins, two dyneins, and two myosins. We show that the force increases always linearly with N but with a prefactor that depends on the performance of the single motor. Surprisingly, this prefactor increases for weaker motors with a lower stall force. This counter-intuitive behavior reflects the increased probability with which stronger motors detach from the filament during strain generation. Our theoretical results are in quantitative agreement with experimental data on small teams of kinesin-1 motors.","lang":"eng"}],"pmid":1,"date_created":"2019-12-10T15:36:05Z","publisher":"American Chemical Society","language":[{"iso":"eng"}],"intvolume":"        20","issue":"1","ddc":["570"],"month":"01","status":"public","publication":"Nano Letters","corr_author":"1","page":"669-676","isi":1,"type":"journal_article","oa":1,"publication_status":"published","year":"2020","article_processing_charge":"No","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_published":"2020-01-08T00:00:00Z"},{"publisher":"American Chemical Society","abstract":[{"lang":"eng","text":"Additional analyses of the trajectories"}],"department":[{"_id":"LeSa"}],"date_created":"2021-07-23T12:02:39Z","citation":{"short":"C. Gupta, U. Khaniya, C.K. Chan, F. Dehez, M. Shekhar, M.R. Gunner, L.A. Sazanov, C. Chipot, A. Singharoy, (2020).","chicago":"Gupta, Chitrak, Umesh Khaniya, Chun Kit Chan, Francois Dehez, Mrinal Shekhar, M.R. Gunner, Leonid A Sazanov, Christophe Chipot, and Abhishek Singharoy. “Supporting Information.” American Chemical Society, 2020. <a href=\"https://doi.org/10.1021/jacs.9b13450.s001\">https://doi.org/10.1021/jacs.9b13450.s001</a>.","apa":"Gupta, C., Khaniya, U., Chan, C. K., Dehez, F., Shekhar, M., Gunner, M. R., … Singharoy, A. (2020). Supporting information. American Chemical Society. <a href=\"https://doi.org/10.1021/jacs.9b13450.s001\">https://doi.org/10.1021/jacs.9b13450.s001</a>","ama":"Gupta C, Khaniya U, Chan CK, et al. Supporting information. 2020. doi:<a href=\"https://doi.org/10.1021/jacs.9b13450.s001\">10.1021/jacs.9b13450.s001</a>","ista":"Gupta C, Khaniya U, Chan CK, Dehez F, Shekhar M, Gunner MR, Sazanov LA, Chipot C, Singharoy A. 2020. Supporting information, American Chemical Society, <a href=\"https://doi.org/10.1021/jacs.9b13450.s001\">10.1021/jacs.9b13450.s001</a>.","ieee":"C. Gupta <i>et al.</i>, “Supporting information.” American Chemical Society, 2020.","mla":"Gupta, Chitrak, et al. <i>Supporting Information</i>. American Chemical Society, 2020, doi:<a href=\"https://doi.org/10.1021/jacs.9b13450.s001\">10.1021/jacs.9b13450.s001</a>."},"doi":"10.1021/jacs.9b13450.s001","oa_version":"Published Version","status":"public","month":"05","_id":"9713","day":"20","related_material":{"record":[{"status":"public","relation":"used_in_publication","id":"8040"}]},"type":"research_data_reference","author":[{"last_name":"Gupta","first_name":"Chitrak","full_name":"Gupta, Chitrak"},{"full_name":"Khaniya, Umesh","first_name":"Umesh","last_name":"Khaniya"},{"first_name":"Chun Kit","last_name":"Chan","full_name":"Chan, Chun Kit"},{"first_name":"Francois","last_name":"Dehez","full_name":"Dehez, Francois"},{"full_name":"Shekhar, Mrinal","last_name":"Shekhar","first_name":"Mrinal"},{"full_name":"Gunner, M.R.","first_name":"M.R.","last_name":"Gunner"},{"id":"338D39FE-F248-11E8-B48F-1D18A9856A87","full_name":"Sazanov, Leonid A","first_name":"Leonid A","orcid":"0000-0002-0977-7989","last_name":"Sazanov"},{"first_name":"Christophe","last_name":"Chipot","full_name":"Chipot, Christophe"},{"last_name":"Singharoy","first_name":"Abhishek","full_name":"Singharoy, Abhishek"}],"article_processing_charge":"No","year":"2020","title":"Supporting information","date_published":"2020-05-20T00:00:00Z","date_updated":"2026-07-06T12:16:34Z","user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87"},{"year":"2020","article_processing_charge":"No","author":[{"last_name":"Ucar","orcid":"0000-0003-0506-4217","first_name":"Mehmet C","full_name":"Ucar, Mehmet C","id":"50B2A802-6007-11E9-A42B-EB23E6697425"},{"full_name":"Lipowsky, Reinhard","first_name":"Reinhard","last_name":"Lipowsky"}],"user_id":"2DF688A6-F248-11E8-B48F-1D18A9856A87","date_updated":"2026-07-06T12:14:33Z","date_published":"2020-01-08T00:00:00Z","title":"MURL_Dataz","related_material":{"record":[{"relation":"used_in_publication","id":"7166","status":"public"}]},"day":"08","type":"research_data_reference","_id":"9885","month":"01","oa_version":"Published Version","status":"public","department":[{"_id":"EdHa"}],"date_created":"2021-08-11T13:16:03Z","abstract":[{"lang":"eng","text":"Data obtained from the fine-grained simulations used in Figures 2-5, data obtained from the coarse-grained numerical calculations used in Figure 6, and a sample script for the fine-grained simulation as a Jupyter notebook (ZIP)"}],"publisher":"American Chemical Society","citation":{"short":"M.C. Ucar, R. Lipowsky, (2020).","chicago":"Ucar, Mehmet C, and Reinhard Lipowsky. “MURL_Dataz.” American Chemical Society, 2020. <a href=\"https://doi.org/10.1021/acs.nanolett.9b04445.s002\">https://doi.org/10.1021/acs.nanolett.9b04445.s002</a>.","apa":"Ucar, M. C., &#38; Lipowsky, R. (2020). MURL_Dataz. American Chemical Society. <a href=\"https://doi.org/10.1021/acs.nanolett.9b04445.s002\">https://doi.org/10.1021/acs.nanolett.9b04445.s002</a>","ista":"Ucar MC, Lipowsky R. 2020. MURL_Dataz, American Chemical Society, <a href=\"https://doi.org/10.1021/acs.nanolett.9b04445.s002\">10.1021/acs.nanolett.9b04445.s002</a>.","ama":"Ucar MC, Lipowsky R. MURL_Dataz. 2020. doi:<a href=\"https://doi.org/10.1021/acs.nanolett.9b04445.s002\">10.1021/acs.nanolett.9b04445.s002</a>","mla":"Ucar, Mehmet C., and Reinhard Lipowsky. <i>MURL_Dataz</i>. American Chemical Society, 2020, doi:<a href=\"https://doi.org/10.1021/acs.nanolett.9b04445.s002\">10.1021/acs.nanolett.9b04445.s002</a>.","ieee":"M. C. Ucar and R. Lipowsky, “MURL_Dataz.” American Chemical Society, 2020."},"doi":"10.1021/acs.nanolett.9b04445.s002"}]