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70 Publications
2024 |
Published |
Conference Paper |
IST-REx-ID: 14213 |
Lao, Dong, Divided attention: Unsupervised multi-object discovery with contextually separated slots. 1st Conference on Parsimony and Learning. 2024
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| arXiv
2023 |
Submitted |
Preprint |
IST-REx-ID: 14333 |
Faller PM, Vankadara LC, Mastakouri AA, Locatello F, Janzing D. Self-compatibility: Evaluating causal discovery without ground truth. arXiv. doi:10.48550/arXiv.2307.09552
[Preprint]
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| arXiv
2023 |
Submitted |
Preprint |
IST-REx-ID: 14946 |
Yao D, Xu D, Lachapelle S, et al. Multi-view causal representation learning with partial observability. arXiv. doi:10.48550/arXiv.2311.04056
[Preprint]
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| arXiv
2023 |
Submitted |
Preprint |
IST-REx-ID: 14948 |
Kori A, Locatello F, Ribeiro FDS, Toni F, Glocker B. Grounded object centric learning. arXiv. doi:10.48550/arXiv.2307.09437
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| arXiv
2023 |
Published |
Journal Article |
IST-REx-ID: 14949 |
Burg M, Wenzel F, Zietlow D, et al. Image retrieval outperforms diffusion models on data augmentation. Journal of Machine Learning Research. 2023.
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2023 |
Submitted |
Preprint |
IST-REx-ID: 14952 |
Maiorca V, Moschella L, Norelli A, Fumero M, Locatello F, Rodolà E. Latent space translation via semantic alignment. arXiv. doi:10.48550/arXiv.2311.00664
[Preprint]
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| arXiv
2023 |
Submitted |
Preprint |
IST-REx-ID: 14953 |
Zhu Z, Locatello F, Cevher V. Sample complexity bounds for score-matching: Causal discovery and generative modeling. arXiv. doi:10.48550/arXiv.2310.18123
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| arXiv
2023 |
Submitted |
Preprint |
IST-REx-ID: 14954 |
Montagna F, Mastakouri AA, Eulig E, et al. Assumption violations in causal discovery and the robustness of score matching. arXiv. doi:10.48550/arXiv.2310.13387
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14958 |
Xu D, Yao D, Lachapelle S, et al. 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 F, Noceti N, Rosasco L, Locatello F. Shortcuts for causal discovery of nonlinear models by score matching. arXiv. doi:10.48550/arXiv.2310.14246
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| arXiv
2023 |
Submitted |
Preprint |
IST-REx-ID: 14962 |
Fan K, Bai Z, Xiao T, et al. Unsupervised open-vocabulary object localization in videos. arXiv. doi:10.48550/arXiv.2309.09858
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| arXiv
2023 |
Submitted |
Preprint |
IST-REx-ID: 14963 |
Zhao Z, Wang J, Horn M, et al. Object-centric multiple object tracking. arXiv. doi:10.48550/arXiv.2309.00233
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14105 |
Sinha S, Gehler P, Locatello F, Schiele B. TeST: Test-time Self-Training under distribution shift. In: 2023 IEEE/CVF Winter Conference on Applications of Computer Vision. Institute of Electrical and Electronics Engineers; 2023. doi:10.1109/wacv56688.2023.00278
[Preprint]
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| arXiv
2023 |
Submitted |
Preprint |
IST-REx-ID: 14207 |
Löwe S, Lippe P, Locatello F, Welling M. Rotating features for object discovery. arXiv. doi:10.48550/arXiv.2306.00600
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14208 |
Zhu Z, Liu F, Chrysos GG, Locatello F, Cevher V. Benign overfitting in deep neural networks under lazy training. In: Proceedings of the 40th International Conference on Machine Learning. Vol 202. ML Research Press; 2023:43105-43128.
[Preprint]
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| arXiv
2023 |
Submitted |
Preprint |
IST-REx-ID: 14209 |
Burg MF, Wenzel F, Zietlow D, et al. A data augmentation perspective on diffusion models and retrieval. arXiv. doi:10.48550/arXiv.2304.10253
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| arXiv
2023 |
Submitted |
Preprint |
IST-REx-ID: 14210 |
Fumero M, Wenzel F, Zancato L, et al. Leveraging sparse and shared feature activations for disentangled representation learning. arXiv. doi:10.48550/arXiv.2304.07939
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14211 |
Montagna F, Noceti N, Rosasco L, Zhang K, Locatello F. Causal discovery with score matching on additive models with arbitrary noise. In: 2nd Conference on Causal Learning and Reasoning. ; 2023.
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14212 |
Montagna F, Noceti N, Rosasco L, Zhang K, Locatello F. Scalable causal discovery with score matching. In: 2nd Conference on Causal Learning and Reasoning. ; 2023.
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14214 |
Liu Y, Alahi A, Russell C, et al. Causal triplet: An open challenge for intervention-centric causal representation learning. In: 2nd Conference on Causal Learning and Reasoning. ; 2023.
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| arXiv