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5271 Publications
2023 | Published | Conference Paper | IST-REx-ID: 14921 | 
Súkeník, Peter, et al. “Deep Neural Collapse Is Provably Optimal for the Deep Unconstrained Features Model.” 37th Annual Conference on Neural Information Processing Systems, 2023.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14923 |
Fu, Teng, et al. “Mismatched Estimation of Non-Symmetric Rank-One Matrices Corrupted by Structured Noise.” Proceedings of 2023 IEEE International Symposium on Information Theory, IEEE, 2023, pp. 1178–83, doi:10.1109/isit54713.2023.10206671.
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2023 | Published | Conference Paper | IST-REx-ID: 14924 |
Wu, Diyuan, et al. “Mean-Field Analysis for Heavy Ball Methods: Dropout-Stability, Connectivity, and Global Convergence.” Transactions on Machine Learning Research, ML Research Press, 2023.
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14946 |
Yao, Dingling, et al. “Multi-View Causal Representation Learning with Partial Observability.” ArXiv, 2311.04056, doi:10.48550/arXiv.2311.04056.
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2023 | Submitted | Preprint | IST-REx-ID: 14948 |
Kori, Avinash, et al. “Grounded Object Centric Learning.” ArXiv, 2307.09437, doi:10.48550/arXiv.2307.09437.
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2023 | Published | Journal Article | IST-REx-ID: 14949 |
Burg, Max, et al. “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, et al. “Latent Space Translation via Semantic Alignment.” ArXiv, 2311.00664, doi:10.48550/arXiv.2311.00664.
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2023 | Submitted | Preprint | IST-REx-ID: 14953 |
Zhu, Zhenyu, et al. “Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling.” ArXiv, 2310.18123, doi:10.48550/arXiv.2310.18123.
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2023 | Submitted | Preprint | IST-REx-ID: 14954 |
Montagna, Francesco, et al. “Assumption Violations in Causal Discovery and the Robustness of Score Matching.” ArXiv, 2310.13387, doi:10.48550/arXiv.2310.13387.
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2023 | Published | Conference Paper | IST-REx-ID: 14958 |
Xu, Danru, et al. “A Sparsity Principle for Partially Observable Causal Representation Learning.” Causal Representation Learning Workshop at NeurIPS 2023, 54, OpenReview, 2023.
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2023 | Submitted | Preprint | IST-REx-ID: 14961 |
Montagna, Francesco, et al. “Shortcuts for Causal Discovery of Nonlinear Models by Score Matching.” ArXiv, 2310.14246, doi:10.48550/arXiv.2310.14246.
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| arXiv
2023 | Submitted | Preprint | IST-REx-ID: 14962 |
Fan, Ke, et al. “Unsupervised Open-Vocabulary Object Localization in Videos.” ArXiv, 2309.09858, doi:10.48550/arXiv.2309.09858.
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2023 | Submitted | Preprint | IST-REx-ID: 14963 |
Zhao, Zixu, et al. “Object-Centric Multiple Object Tracking.” ArXiv, 2309.00233, doi:10.48550/arXiv.2309.00233.
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| arXiv
2023 | Epub ahead of print | Conference Paper | IST-REx-ID: 14974 |
Zhang, Cheng, et al. “Causality in the Time of LLMs: Round Table Discussion Results of CLeaR 2023.” 2nd Conference on Causal Learning and Reasoning, 2023.
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2023 | Published | Journal Article | IST-REx-ID: 14985 |
Liu, Zhengtao, et al. “Lattice Expansion Enables Interstitial Doping to Achieve a High Average ZT in N‐type PbS.” Interdisciplinary Materials, vol. 2, no. 1, Wiley, 2023, pp. 161–70, doi: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, doi:10.5281/ZENODO.7548214.
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2023 | Published | Book Chapter | IST-REx-ID: 14992 |
Lewin, Mathieu, et al. “Universal Functionals in Density Functional Theory.” Density Functional Theory, edited by Eric Cances and Gero Friesecke, 1st ed., Springer, 2023, pp. 115–82, doi:10.1007/978-3-031-22340-2_3.
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| arXiv
2023 | Published | Conference Paper | IST-REx-ID: 14993 |
Currin, Christopher, et al. “A Framework for Grassroots Research Collaboration in Machine Learning and Global Health.” 1st Workshop on Machine Learning & Global Health, OpenReview, 2023.
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2023 | Research Data Reference | IST-REx-ID: 14994 |
Majumdar, Rupak, et al. A Flexible Toolchain for Symbolic Rabin Games under Fair and Stochastic Uncertainties. Zenodo, 2023, doi:10.5281/ZENODO.7877790.
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2023 | Research Data Reference | IST-REx-ID: 14995 |
Koval, Nikita, et al. Lincheck: A Practical Framework for Testing Concurrent Data Structures on JVM. Zenodo, 2023, doi:10.5281/ZENODO.7877757.
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