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10501 Publications
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: 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 | 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 | Submitted | Preprint | IST-REx-ID: 14962 |
Fan, Ke, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel Carl-Johann Simon-Gabriel, et al. “Unsupervised Open-Vocabulary Object Localization in Videos.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2309.09858.
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2023 | Submitted | Preprint | IST-REx-ID: 14963 |
Zhao, Zixu, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, et al. “Object-Centric Multiple Object Tracking.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2309.00233.
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2023 | Epub ahead of print | Conference Paper | IST-REx-ID: 14974 |
Zhang, Cheng, Dominik Janzing, Mihaela van der Schaar, Francesco Locatello, Peter Spirtes, Kun Zhang, Bernhard Schölkopf, and Caroline Uhler. “Causality in the Time of LLMs: Round Table Discussion Results of CLeaR 2023.” In 2nd Conference on Causal Learning and Reasoning, 2023.
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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 | Published | Conference Paper | IST-REx-ID: 14989 |
Malvai, Harjasleen, Eleftherios Kokoris Kogias, Alberto Sonnino, Esha Ghosh, Ercan Oztürk, Kevin Lewi, and Sean Lawlor. “Parakeet: Practical Key Transparency for End-to-End EEncrypted Messaging.” In Proceedings of the 2023 Network and Distributed System Security Symposium. Internet Society, 2023. https://doi.org/10.14722/ndss.2023.24545.
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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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