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4957 Publications
2021 | Published | Conference Paper | IST-REx-ID: 11436 | 
Kungurtsev, Vyacheslav, Malcolm Egan, Bapi Chatterjee, and Dan-Adrian Alistarh. “Asynchronous Optimization Methods for Efficient Training of Deep Neural Networks with Guarantees.” In 35th AAAI Conference on Artificial Intelligence, AAAI 2021, 35:8209–16. AAAI Press, 2021.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 11452 |
Alimisis, Foivos, Peter Davies, Bart Vandereycken, and Dan-Adrian Alistarh. “Distributed Principal Component Analysis with Limited Communication.” In Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, 4:2823–34. Neural Information Processing Systems Foundation, 2021.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 11453 |
Braun, Lukas, and Tim P Vogels. “Online Learning of Neural Computations from Sparse Temporal Feedback.” In Advances in Neural Information Processing Systems - 35th Conference on Neural Information Processing Systems, 20:16437–50. Neural Information Processing Systems Foundation, 2021.
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2021 | Published | Conference Paper | IST-REx-ID: 11458 |
Peste, Elena-Alexandra, Eugenia B Iofinova, Adrian Vladu, and Dan-Adrian Alistarh. “AC/DC: Alternating Compressed/DeCompressed Training of Deep Neural Networks.” In 35th Conference on Neural Information Processing Systems, 34:8557–70. Curran Associates, 2021.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 11463 |
Frantar, Elias, Eldar Kurtic, and Dan-Adrian Alistarh. “M-FAC: Efficient Matrix-Free Approximations of Second-Order Information.” In 35th Conference on Neural Information Processing Systems, 34:14873–86. Curran Associates, 2021.
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| arXiv
2021 | Published | Conference Paper | IST-REx-ID: 11464 |
Alistarh, Dan-Adrian, and Janne Korhonen. “Towards Tight Communication Lower Bounds for Distributed Optimisation.” In 35th Conference on Neural Information Processing Systems, 34:7254–66. Curran Associates, 2021.
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| arXiv
2021 | Submitted | Preprint | IST-REx-ID: 12076 |
Shute, Alec L. “Sums of Four Squareful Numbers.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2104.06966.
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| arXiv
2021 | Submitted | Preprint | IST-REx-ID: 12077 |
Shute, Alec L. “On the Leading Constant in the Manin-Type Conjecture for Campana Points.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2104.14946.
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| arXiv
2021 | Published | Journal Article | IST-REx-ID: 12186
Ding, Pingtao, Toshiyuki Sakai, Ram Krishna Shrestha, Nicolas Manosalva Perez, Wenbin Guo, Bruno Pok Man Ngou, Shengbo He, et al. “Chromatin Accessibility Landscapes Activated by Cell-Surface and Intracellular Immune Receptors.” Journal of Experimental Botany. Oxford University Press, 2021. https://doi.org/10.1093/jxb/erab373.
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| PubMed | Europe PMC
2021 | Published | Journal Article | IST-REx-ID: 12187
Long, Jincheng, James Walker, Wenjing She, Billy Aldridge, Hongbo Gao, Samuel Deans, Martin Vickers, and Xiaoqi Feng. “Nurse Cell--Derived Small RNAs Define Paternal Epigenetic Inheritance in Arabidopsis.” Science. American Association for the Advancement of Science (AAAS), 2021. https://doi.org/10.1126/science.abh0556.
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| PubMed | Europe PMC
2021 | Published | Journal Article | IST-REx-ID: 6965 |
Rychlewicz, Kamil P. “The Positivity of Local Equivariant Hirzebruch Class for Toric Varieties.” Bulletin of the London Mathematical Society. Wiley, 2021. https://doi.org/10.1112/blms.12442.
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| arXiv
2021 | Published | Technical Report | IST-REx-ID: 6995 |
Samarasinghe, Ranmal A., Osvaldo Miranda, Jessie E. Buth, Simon Mitchell, Isabella Ferando, Momoko Watanabe, Arinnae Kurdian, et al. Identification of Neural Oscillations and Epileptiform Changes in Human Brain Organoids. Vol. 24. Springer Nature, 2021. https://doi.org/10.1038/s41593-021-00906-5.
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| PubMed | Europe PMC
2021 | Published | Journal Article | IST-REx-ID: 7463 |
Lombardi, Fabrizio, Oren Shriki, Hans J Herrmann, and Lucilla de Arcangelis. “Long-Range Temporal Correlations in the Broadband Resting State Activity of the Human Brain Revealed by Neuronal Avalanches.” Neurocomputing. Elsevier, 2021. https://doi.org/10.1016/j.neucom.2020.05.126.
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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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| arXiv
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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