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5288 Publications
2023 | Published | Journal Article | IST-REx-ID: 14920 | 
Banerjee, Tamajit, Rupak Majumdar, Kaushik Mallik, Anne-Kathrin Schmuck, and Sadegh Soudjani. “Fast Symbolic Algorithms for Mega-Regular Games under Strong Transition Fairness.” TheoretiCS. EPI Sciences, 2023. https://doi.org/10.46298/theoretics.23.4.
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2023 | Published | Conference Paper | IST-REx-ID: 14921 |
Súkeník, Peter, Marco Mondelli, and Christoph Lampert. “Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model.” In 37th Annual Conference on Neural Information Processing Systems, 2023.
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2023 | Published | Conference Paper | IST-REx-ID: 14923 |
Fu, Teng, YuHao Liu, Jean Barbier, Marco Mondelli, ShanSuo Liang, and TianQi Hou. “Mismatched Estimation of Non-Symmetric Rank-One Matrices Corrupted by Structured Noise.” In Proceedings of 2023 IEEE International Symposium on Information Theory, 1178–83. IEEE, 2023. https://doi.org/10.1109/isit54713.2023.10206671.
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2023 | Published | Conference Paper | IST-REx-ID: 14924 |
Wu, Diyuan, Vyacheslav Kungurtsev, and Marco Mondelli. “Mean-Field Analysis for Heavy Ball Methods: Dropout-Stability, Connectivity, and Global Convergence.” In Transactions on Machine Learning Research. ML Research Press, 2023.
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2023 | Submitted | Preprint | IST-REx-ID: 14946 |
Yao, Dingling, Danru Xu, Sébastien Lachapelle, Sara Magliacane, Perouz Taslakian, Georg Martius, Julius von Kügelgen, and Francesco Locatello. “Multi-View Causal Representation Learning with Partial Observability.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2311.04056.
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2023 | Submitted | Preprint | IST-REx-ID: 14948 |
Kori, Avinash, Francesco Locatello, Fabio De Sousa Ribeiro, Francesca Toni, and Ben Glocker. “Grounded Object Centric Learning.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2307.09437.
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2023 | Published | Journal Article | IST-REx-ID: 14949 |
Burg, Max, Florian Wenzel, Dominik Zietlow, Max Horn, Osama Makansi, Francesco Locatello, and Chris Russell. “Image Retrieval Outperforms Diffusion Models on Data Augmentation.” Journal of Machine Learning Research. ML Research Press, 2023.
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2023 | Submitted | Preprint | IST-REx-ID: 14952 |
Maiorca, Valentino, Luca Moschella, Antonio Norelli, Marco Fumero, Francesco Locatello, and Emanuele Rodolà. “Latent Space Translation via Semantic Alignment.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2311.00664.
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2023 | Submitted | Preprint | IST-REx-ID: 14953 |
Zhu, Zhenyu, Francesco Locatello, and Volkan Cevher. “Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2310.18123.
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2023 | Submitted | Preprint | IST-REx-ID: 14954 |
Montagna, Francesco, Atalanti A. Mastakouri, Elias Eulig, Nicoletta Noceti, Lorenzo Rosasco, Dominik Janzing, Bryon Aragam, and Francesco Locatello. “Assumption Violations in Causal Discovery and the Robustness of Score Matching.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2310.13387.
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2023 | Published | Conference Paper | IST-REx-ID: 14958 |
Xu, Danru, Dingling Yao, Sebastien Lachapelle, Perouz Taslakian, Julius von Kügelgen, Francesco Locatello, and Sara Magliacane. “A Sparsity Principle for Partially Observable Causal Representation Learning.” In Causal Representation Learning Workshop at NeurIPS 2023. OpenReview, 2023.
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2023 | Submitted | Preprint | IST-REx-ID: 14961 |
Montagna, Francesco, Nicoletta Noceti, Lorenzo Rosasco, and Francesco Locatello. “Shortcuts for Causal Discovery of Nonlinear Models by Score Matching.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2310.14246.
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2023 | Published | Journal Article | IST-REx-ID: 14985 |
Liu, Zhengtao, Tao Hong, Liqing Xu, Sining Wang, Xiang Gao, Cheng Chang, Xiangdong Ding, Yu Xiao, and Li‐Dong Zhao. “Lattice Expansion Enables Interstitial Doping to Achieve a High Average ZT in N‐type PbS.” Interdisciplinary Materials. Wiley, 2023. https://doi.org/10.1002/idm2.12056.
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2023 | Research Data Reference | IST-REx-ID: 14990 |
Meggendorfer, Tobias. “Artefact for: Correct Approximation of Stationary Distributions.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.7548214.
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2023 | Research Data Reference | IST-REx-ID: 14991 |
Hwong, Yi-Ling, Maxime Colin, Philipp Aglas, Caroline J Muller, and Steven C. Sherwood. “Data-Assessing Memory in Convection Schemes Using Idealized Tests.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.7757041.
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2023 | Published | Book Chapter | IST-REx-ID: 14992 |
Lewin, Mathieu, Elliott H. Lieb, and Robert Seiringer. “Universal Functionals in Density Functional Theory.” In Density Functional Theory, edited by Eric Cances and Gero Friesecke, 1st ed., 115–82. MAMOMO. Springer, 2023. https://doi.org/10.1007/978-3-031-22340-2_3.
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2023 | Published | Conference Paper | IST-REx-ID: 14993 |
Currin, Christopher, Mercy Nyamewaa Asiedu , Chris Fourie, Benjamin Rosman, Houcemeddine Turki, Atnafu Lambebo Tonja, Jade Abbott, et al. “A Framework for Grassroots Research Collaboration in Machine Learning and Global Health.” In 1st Workshop on Machine Learning & Global Health. OpenReview, 2023.
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2023 | Research Data Reference | IST-REx-ID: 14994 |
Majumdar, Rupak, Kaushik Mallik, Mateusz Rychlicki, Anne-Kathrin Schmuck, and Sadegh Soudjani. “A Flexible Toolchain for Symbolic Rabin Games under Fair and Stochastic Uncertainties.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.7877790.
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2023 | Research Data Reference | IST-REx-ID: 14995 |
Koval, Nikita, Alexander Fedorov, Maria Sokolova, Dmitry Tsitelov, and Dan-Adrian Alistarh. “Lincheck: A Practical Framework for Testing Concurrent Data Structures on JVM.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.7877757.
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2023 | Published | Conference Paper | IST-REx-ID: 15023 |
Zikelic, Dorde, Mathias Lechner, Abhinav Verma, Krishnendu Chatterjee, and Thomas A Henzinger. “Compositional Policy Learning in Stochastic Control Systems with Formal Guarantees.” In 37th Conference on Neural Information Processing Systems, 2023.
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