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8915 Publications
2023 | Published | Conference Paper | IST-REx-ID: 14867 | 
Anastos, Michael. “Constructing Hamilton Cycles and Perfect Matchings Efficiently.” In Proceedings of the 12th European Conference on Combinatorics, Graph Theory and Applications, 36–41. Masaryk University Press, 2023. https://doi.org/10.5817/cz.muni.eurocomb23-005.
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2023 | Published | Conference Paper | IST-REx-ID: 14872
Sahu, Rishabh, Liu Qiu, William J Hease, Georg M Arnold, Yuri Minoguchi, Peter Rabl, and Johannes M Fink. “Entangling Microwaves and Telecom Wavelength Light.” In Frontiers in Optics + Laser Science 2023. Optica Publishing Group, 2023. https://doi.org/10.1364/ls.2023.lm1f.3.
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2023 | Research Data Reference | IST-REx-ID: 14892 |
Feitosa Tomé, Douglas. “Douglastome/Dynamic-Engrams: Dynamic and Selective Engrams Emerge with Memory Consolidation.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.10251087.
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2023 | Research Data Reference | IST-REx-ID: 14919 |
Shaw, Thomas, Pascal Buri, Michael McCarthy, Evan Miles, and Francesca Pellicciotti. “Air Temperature and Near-Surface Meteorology Datasets on Three Swiss Glaciers - Extreme 2022 Summer.” Zenodo, 2023. https://doi.org/10.5281/ZENODO.8277285.
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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 | In Press | 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, n.d.
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2023 | In Press | Conference Paper | IST-REx-ID: 14922 |
Esposito, Amedeo Roberto, and Marco Mondelli. “Concentration without Independence via Information Measures.” In Proceedings of 2023 IEEE International Symposium on Information Theory. IEEE, n.d. https://doi.org/10.1109/isit54713.2023.10206899.
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2023 | In Press | 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. IEEE, n.d. 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 | 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 | 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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