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100 Publications
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2024 |
Published |
Conference Paper |
IST-REx-ID: 18956 |
Demirel B, Ozkan H. Decompl: Decompositional learning with attention pooling for group activity recognition from a single volleyball image. In: 2024 IEEE International Conference on Image Processing. IEEE; 2024:977-983. doi:10.1109/icip51287.2024.10647499
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 18964 |
Fan K, Bai Z, Xiao T, et al. Adaptive slot attention: Object discovery with dynamic slot number. In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition. IEEE; 2024. doi:10.1109/cvpr52733.2024.02176
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 18971 |
Arefin R, Zhang Y, Baratin A, et al. Unsupervised concept discovery mitigates spurious correlations. In: Proceedings of the 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:1672-1688.
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 18996 |
Chen T, Bello K, Locatello F, Aragam B, Ravikumar PK. Identifying general mechanism shifts in linear causal representations. In: 38th Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 19005 |
Yao D, Muller CJ, Locatello F. Marrying causal representation learning with dynamical systems for science. In: 38th Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.
[Published Version]
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 19007 |
Kori A, Locatello F, Santhirasekaram A, Toni F, Glocker B, De Sousa Ribeiro F. Identifiable object-centric representation learning via probabilistic slot attention. In: 38th Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 19515 |
Fumero M, Pegoraro M, Maiorca V, Locatello F, Rodolà E. Latent functional maps: A spectral framework for representation alignment. In: 38th Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 19517 |
Crisostomi D, Fumero M, Baieri D, Bernard F, Rodolà E. C2M3: Cycle-consistent multi-model merging. In: 38th Conference on Neural Information Processing Systems. Vol 37. Neural Information Processing Systems Foundation; 2024.
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| arXiv
2024 |
Published |
Conference Paper |
IST-REx-ID: 14946 |
Yao D, Xu D, Lachapelle S, et al. Multi-view causal representation learning with partial observability. In: 12th International Conference on Learning Representations. Curran Associates; 2024.
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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
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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.
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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.
[Preprint]
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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
2023 |
Published |
Conference Paper |
IST-REx-ID: 14216 |
Norelli A, Fumero M, Maiorca V, Moschella L, Rodolà E, Locatello F. ASIF: Coupled data turns unimodal models to multimodal without training. In: 37th Conference on Neural Information Processing Systems. Vol 36. Neural Information Processing Systems Foundation; 2023:15303-15319.
[Preprint]
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14217 |
Moschella L, Maiorca V, Fumero M, Norelli A, Locatello F, Rodolà E. Relative representations enable zero-shot latent space communication. In: The 11th International Conference on Learning Representations. ; 2023.
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| arXiv
2023 |
Published |
Conference Paper |
IST-REx-ID: 14218 |
Seitzer M, Horn M, Zadaianchuk A, et al. Bridging the gap to real-world object-centric learning. In: The 11th International Conference on Learning Representations. ; 2023.
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| arXiv
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