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5339 Publications
2021 | Published | Journal Article | IST-REx-ID: 9412 |
Cipolloni, Giorgio, László Erdös, and Dominik J Schröder. “Fluctuation around the Circular Law for Random Matrices with Real Entries.” Electronic Journal of Probability. Institute of Mathematical Statistics, 2021. https://doi.org/10.1214/21-EJP591.
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| arXiv
2021 | Published | Journal Article | IST-REx-ID: 9414 |
Ishihara, Keisuke, Franziska Decker, Paulo R Dos Santos Caldas, James F. Pelletier, Martin Loose, Jan Brugués, and Timothy J. Mitchison. “Spatial Variation of Microtubule Depolymerization in Large Asters.” Molecular Biology of the Cell. American Society for Cell Biology, 2021. https://doi.org/10.1091/MBC.E20-11-0723.
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2021 | Published | Conference Paper | IST-REx-ID: 9416 |
Phuong, Mary, and Christoph Lampert. “The Inductive Bias of ReLU Networks on Orthogonally Separable Data.” In 9th International Conference on Learning Representations, 2021.
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2021 | Published | Thesis | IST-REx-ID: 9418 |
Phuong, Mary. “Underspecification in Deep Learning.” Institute of Science and Technology Austria, 2021. https://doi.org/10.15479/AT:ISTA:9418.
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2021 | Published | Journal Article | IST-REx-ID: 9431 |
Obr, Martin, Clifton L. Ricana, Nadia Nikulin, Jon-Philip R. Feathers, Marco Klanschnig, Andreas Thader, Marc C. Johnson, Volker M. Vogt, Florian KM Schur, and Robert A. Dick. “Structure of the Mature Rous Sarcoma Virus Lattice Reveals a Role for IP6 in the Formation of the Capsid Hexamer.” Nature Communications. Nature Research, 2021. https://doi.org/10.1038/s41467-021-23506-0.
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2021 | Preprint | IST-REx-ID: 9435 |
Kaloshin, Vadim, and Edmond Koudjinan. “Non Co-Preservation of the 1/2 and 1/(2l+1)-Rational Caustics along Deformations of Circles,” 2021.
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2021 | Published | Journal Article | IST-REx-ID: 9439 |
Mlynarski, Wiktor F, and Ann M. Hermundstad. “Efficient and Adaptive Sensory Codes.” Nature Neuroscience. Springer Nature, 2021. https://doi.org/10.1038/s41593-021-00846-0.
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2021 | Published | Conference Paper | IST-REx-ID: 9441 |
Boissonnat, Jean-Daniel, Siargey Kachanovich, and Mathijs Wintraecken. “Tracing Isomanifolds in Rd in Time Polynomial in d Using Coxeter-Freudenthal-Kuhn Triangulations.” In 37th International Symposium on Computational Geometry (SoCG 2021), 189:17:1-17:16. Leibniz International Proceedings in Informatics (LIPIcs). Dagstuhl, Germany: Schloss Dagstuhl - Leibniz-Zentrum für Informatik, 2021. https://doi.org/10.4230/LIPIcs.SoCG.2021.17.
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2021 | Published | Journal Article | IST-REx-ID: 9443 |
Ruiz-Lopez, N, J Pérez-Sancho, A Esteban Del Valle, RP Haslam, S Vanneste, R Catalá, C Perea-Resa, et al. “Synaptotagmins at the Endoplasmic Reticulum-Plasma Membrane Contact Sites Maintain Diacylglycerol Homeostasis during Abiotic Stress.” Plant Cell. American Society of Plant Biologists, 2021. https://doi.org/10.1093/plcell/koab122.
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| PubMed | Europe PMC
2021 | Published | Journal Article | IST-REx-ID: 9447
Maffre, Marion, Roza Bouchal, Stefan Alexander Freunberger, Niklas Lindahl, Patrik Johansson, Frédéric Favier, Olivier Fontaine, and Daniel Bélanger. “Investigation of Electrochemical and Chemical Processes Occurring at Positive Potentials in ‘Water-in-Salt’ Electrolytes.” Journal of The Electrochemical Society. IOP Publishing, 2021. https://doi.org/10.1149/1945-7111/ac0300.
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2021 | Published | Conference Paper | IST-REx-ID: 13146 |
Nguyen, Quynh, Marco Mondelli, and Guido Montufar. “Tight Bounds on the Smallest Eigenvalue of the Neural Tangent Kernel for Deep ReLU Networks.” In Proceedings of the 38th International Conference on Machine Learning, 139:8119–29. ML Research Press, 2021.
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2021 | Published | Conference Paper | IST-REx-ID: 13147 |
Alimisis, Foivos, Peter Davies, and Dan-Adrian Alistarh. “Communication-Efficient Distributed Optimization with Quantized Preconditioners.” In Proceedings of the 38th International Conference on Machine Learning, 139:196–206. ML Research Press, 2021.
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| arXiv
2021 | Published | Journal Article | IST-REx-ID: 14117 |
Scholkopf, Bernhard, Francesco Locatello, Stefan Bauer, Nan Rosemary Ke, Nal Kalchbrenner, Anirudh Goyal, and Yoshua Bengio. “Toward Causal Representation Learning.” Proceedings of the IEEE. Institute of Electrical and Electronics Engineers, 2021. https://doi.org/10.1109/jproc.2021.3058954.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14176 |
Yèche, Hugo, Gideon Dresdner, Francesco Locatello, Matthias Hüser, and Gunnar Rätsch. “Neighborhood Contrastive Learning Applied to Online Patient Monitoring.” In Proceedings of 38th International Conference on Machine Learning, 139:11964–74. ML Research Press, 2021.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14177 |
Träuble, Frederik, Elliot Creager, Niki Kilbertus, Francesco Locatello, Andrea Dittadi, Anirudh Goyal, Bernhard Schölkopf, and Stefan Bauer. “On Disentangled Representations Learned from Correlated Data.” In Proceedings of the 38th International Conference on Machine Learning, 139:10401–12. ML Research Press, 2021.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14178 |
Dittadi, Andrea, Frederik Träuble, Francesco Locatello, Manuel Wüthrich, Vaibhav Agrawal, Ole Winther, Stefan Bauer, and Bernhard Schölkopf. “On the Transfer of Disentangled Representations in Realistic Settings.” In The Ninth International Conference on Learning Representations, 2021.
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2021 | Published | Conference Paper | IST-REx-ID: 14179 |
Kügelgen, Julius von, Yash Sharma, Luigi Gresele, Wieland Brendel, Bernhard Schölkopf, Michel Besserve, and Francesco Locatello. “Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style.” In Advances in Neural Information Processing Systems, 34:16451–67, 2021.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14180 |
Rahaman, Nasim, Muhammad Waleed Gondal, Shruti Joshi, Peter Gehler, Yoshua Bengio, Francesco Locatello, and Bernhard Schölkopf. “Dynamic Inference with Neural Interpreters.” In Advances in Neural Information Processing Systems, 34:10985–98, 2021.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14181 |
Dresdner, Gideon, Saurav Shekhar, Fabian Pedregosa, Francesco Locatello, and Gunnar Rätsch. “Boosting Variational Inference with Locally Adaptive Step-Sizes.” In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2337–43. International Joint Conferences on Artificial Intelligence, 2021. https://doi.org/10.24963/ijcai.2021/322.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 14182 |
Träuble, Frederik, Julius von Kügelgen, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, and Peter Gehler. “Backward-Compatible Prediction Updates: A Probabilistic Approach.” In 35th Conference on Neural Information Processing Systems, 34:116–28, 2021.
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