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10501 Publications
2022 | Published | Journal Article | IST-REx-ID: 13991
Heide, Christian, Yuki Kobayashi, Denitsa Rangelova Baykusheva, Deepti Jain, Jonathan A. Sobota, Makoto Hashimoto, Patrick S. Kirchmann, et al. “Probing Topological Phase Transitions Using High-Harmonic Generation.” Nature Photonics. Springer Nature, 2022. https://doi.org/10.1038/s41566-022-01050-7.
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2022 | Published | Journal Article | IST-REx-ID: 13992 | 
Svoboda, Vít, Niraghatam Bhargava Ram, Denitsa Rangelova Baykusheva, Daniel Zindel, Max D. J. Waters, Benjamin Spenger, Manuel Ochsner, Holger Herburger, Jürgen Stohner, and Hans Jakob Wörner. “Femtosecond Photoelectron Circular Dichroism of Chemical Reactions.” Science Advances. American Association for the Advancement of Science, 2022. https://doi.org/10.1126/sciadv.abq2811.
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| arXiv
2022 | Published | Journal Article | IST-REx-ID: 13993 |
Gong, Xiaochun, Inga Jordan, Martin Huppert, Saijoscha Heck, Denitsa Rangelova Baykusheva, Denis Jelovina, Axel Schild, and Hans Jakob Wörner. “Attosecond Photoionization Dynamics: From Molecules over Clusters to the Liquid Phase.” Chimia. Swiss Chemical Society, 2022. https://doi.org/10.2533/chimia.2022.520.
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2022 | Published | Journal Article | IST-REx-ID: 13994 |
Baykusheva, Denitsa Rangelova, Hoyoung Jang, Ali A. Husain, Sangjun Lee, Sophia F. R. TenHuisen, Preston Zhou, Sunwook Park, et al. “Ultrafast Renormalization of the On-Site Coulomb Repulsion in a Cuprate Superconductor.” Physical Review X. American Physical Society, 2022. https://doi.org/10.1103/physrevx.12.011013.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14093 |
Dresdner, Gideon, Maria-Luiza Vladarean, Gunnar Rätsch, Francesco Locatello, Volkan Cevher, and Alp Yurtsever. “ Faster One-Sample Stochastic Conditional Gradient Method for Composite Convex Minimization.” In Proceedings of the 25th International Conference on Artificial Intelligence and Statistics, 151:8439–57. ML Research Press, 2022.
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| arXiv
2022 | Published | Journal Article | IST-REx-ID: 14098 |
Keszthelyi, Z., A. de Koter, Ylva Louise Linsdotter Götberg, G. Meynet, S. A. Brands, V. Petit, M. Carrington, et al. “The Effects of Surface Fossil Magnetic Fields on Massive Star Evolution: IV. Grids of Models at Solar, LMC, and SMC Metallicities.” Monthly Notices of the Royal Astronomical Society. Oxford Academic, 2022. https://doi.org/10.1093/mnras/stac2598.
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| arXiv
2022 | Submitted | Preprint | IST-REx-ID: 14099 |
Keszthelyi, Z., A. de Koter, Ylva Louise Linsdotter Götberg, G. Meynet, S. A. Brands, V. Petit, M. Carrington, et al. “Spin-down and Reduced Mass Loss in Early-Type Stars with Large-Scale Magnetic Fields.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2211.07060.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14106 |
Lohaus, Michael, Matthäus Kleindessner, Krishnaram Kenthapadi, Francesco Locatello, and Chris Russell. “Are Two Heads the Same as One? Identifying Disparate Treatment in Fair Neural Networks.” In 36th Conference on Neural Information Processing Systems, 35:16548–62. Neural Information Processing Systems Foundation, 2022.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14107 |
Yao, Jian, Yuxin Hong, Chiyu Wang, Tianjun Xiao, Tong He, Francesco Locatello, David Wipf, Yanwei Fu, and Zheng Zhang. “Self-Supervised Amodal Video Object Segmentation.” In 36th Conference on Neural Information Processing Systems, 2022. https://doi.org/10.48550/arXiv.2210.12733.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14114 |
Zietlow, Dominik, Michael Lohaus, Guha Balakrishnan, Matthaus Kleindessner, Francesco Locatello, Bernhard Scholkopf, and Chris Russell. “Leveling down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers.” In 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 10400–411. Institute of Electrical and Electronics Engineers, 2022. https://doi.org/10.1109/cvpr52688.2022.01016.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14168 |
Rahaman, Nasim, Martin Weiss, Francesco Locatello, Chris Pal, Yoshua Bengio, Bernhard Schölkopf, Li Erran Li, and Nicolas Ballas. “Neural Attentive Circuits.” In 36th Conference on Neural Information Processing Systems, Vol. 35, 2022.
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| arXiv
2022 | Submitted | Conference Paper | IST-REx-ID: 14170 |
Dittadi, Andrea, Samuele Papa, Michele De Vita, Bernhard Schölkopf, Ole Winther, and Francesco Locatello. “Generalization and Robustness Implications in Object-Centric Learning.” In Proceedings of the 39th International Conference on Machine Learning, 2022:5221–85. ML Research Press, n.d.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14171 |
Rolland, Paul, Volkan Cevher, Matthäus Kleindessner, Chris Russel, Bernhard Schölkopf, Dominik Janzing, and Francesco Locatello. “Score Matching Enables Causal Discovery of Nonlinear Additive Noise Models.” In Proceedings of the 39th International Conference on Machine Learning, 162:18741–53. ML Research Press, 2022.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14172 |
Schott, Lukas, Julius von Kügelgen, Frederik Träuble, Peter Gehler, Chris Russell, Matthias Bethge, Bernhard Schölkopf, Francesco Locatello, and Wieland Brendel. “Visual Representation Learning Does Not Generalize Strongly within the Same Domain.” In 10th International Conference on Learning Representations, 2022.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14173 |
Wenzel, Florian, Andrea Dittadi, Peter Vincent Gehler, Carl-Johann Simon-Gabriel Carl-Johann Simon-Gabriel, Max Horn, Dominik Zietlow, David Kernert, et al. “Assaying Out-of-Distribution Generalization in Transfer Learning.” In 36th Conference on Neural Information Processing Systems, 35:7181–98. Neural Information Processing Systems Foundation, 2022.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14174 |
Dittadi, Andrea, Frederik Träuble, Manuel Wüthrich, Felix Widmaier, Peter Gehler, Ole Winther, Francesco Locatello, Olivier Bachem, Bernhard Schölkopf, and Stefan Bauer. “The Role of Pretrained Representations for the OOD Generalization of Reinforcement Learning Agents.” In 10th International Conference on Learning Representations, 2022.
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| arXiv
2022 | Published | Conference Paper | IST-REx-ID: 14175 |
Makansi, Osama, Julius von Kügelgen, Francesco Locatello, Peter Gehler, Dominik Janzing, Thomas Brox, and Bernhard Schölkopf. “You Mostly Walk Alone: Analyzing Feature Attribution in Trajectory Prediction.” In 10th International Conference on Learning Representations, 2022.
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| arXiv
2022 | Submitted | Conference Paper | IST-REx-ID: 14215 |
Rahaman, Nasim, Martin Weiss, Frederik Träuble, Francesco Locatello, Alexandre Lacoste, Yoshua Bengio, Chris Pal, Li Erran Li, and Bernhard Schölkopf. “A General Purpose Neural Architecture for Geospatial Systems.” In 36th Conference on Neural Information Processing Systems, n.d.
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| arXiv
2022 | Submitted | Preprint | IST-REx-ID: 14220 |
Mambelli, Davide, Frederik Träuble, Stefan Bauer, Bernhard Schölkopf, and Francesco Locatello. “Compositional Multi-Object Reinforcement Learning with Linear Relation Networks.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2201.13388.
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| arXiv
2022 | Submitted | Preprint | IST-REx-ID: 14236 |
Goranci, Gramoz, and Monika Henzinger. “Incremental Approximate Maximum Flow in M1/2+o(1) Update Time.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2211.09606.
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