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71 Publications
2024 | Conference Paper | IST-REx-ID: 14213 | 
Lao, Dong, et al. “Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots.” 1st Conference on Parsimony and Learning, 2024.
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2023 | Conference Paper | IST-REx-ID: 14105 |
Sinha, Samarth, et al. “TeST: Test-Time Self-Training under Distribution Shift.” 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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2023 | Conference Paper | IST-REx-ID: 14208 |
Zhu, Zhenyu, et al. “Benign Overfitting in Deep Neural Networks under Lazy Training.” Proceedings of the 40th International Conference on Machine Learning, vol. 202, ML Research Press, 2023, pp. 43105–28.
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2023 | Preprint | IST-REx-ID: 14209 |
Burg, Max F., et al. “A Data Augmentation Perspective on Diffusion Models and Retrieval.” ArXiv, 2304.10253, doi:10.48550/arXiv.2304.10253.
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2023 | Conference Paper | IST-REx-ID: 14211 |
Montagna, Francesco, et al. “Causal Discovery with Score Matching on Additive Models with Arbitrary Noise.” 2nd Conference on Causal Learning and Reasoning, 2023.
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2023 | Conference Paper | IST-REx-ID: 14212 |
Montagna, Francesco, et al. “Scalable Causal Discovery with Score Matching.” 2nd Conference on Causal Learning and Reasoning, 2023.
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2023 | Conference Paper | IST-REx-ID: 14214 |
Liu, Yuejiang, et al. “Causal Triplet: An Open Challenge for Intervention-Centric Causal Representation Learning.” 2nd Conference on Causal Learning and Reasoning, 2023.
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2023 | Conference Paper | IST-REx-ID: 14217 |
Moschella, Luca, et al. “Relative Representations Enable Zero-Shot Latent Space Communication.” The 11th International Conference on Learning Representations, 2023.
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2023 | Conference Paper | IST-REx-ID: 14222 |
Tangemann, Matthias, et al. “Unsupervised Object Learning via Common Fate.” 2nd Conference on Causal Learning and Reasoning, 2110.06562, 2023.
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2023 | Conference Paper | IST-REx-ID: 14218 |
Seitzer, Maximilian, et al. “Bridging the Gap to Real-World Object-Centric Learning.” The 11th International Conference on Learning Representations, 2023.
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2023 | Conference Paper | IST-REx-ID: 14219 |
Zadaianchuk, Andrii, et al. “Unsupervised Semantic Segmentation with Self-Supervised Object-Centric Representations.” The 11th International Conference on Learning Representations, 2023.
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2023 | Preprint | IST-REx-ID: 14333 |
Faller, Philipp M., et al. “Self-Compatibility: Evaluating Causal Discovery without Ground Truth.” ArXiv, 2307.09552, doi:10.48550/arXiv.2307.09552.
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2023 | 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 | 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 | 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 | 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 | 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 | 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 | Preprint | IST-REx-ID: 14210 |
Fumero, Marco, et al. “Leveraging Sparse and Shared Feature Activations for Disentangled Representation Learning.” ArXiv, 2304.07939, doi:10.48550/arXiv.2304.07939.
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2023 | Preprint | IST-REx-ID: 14207 |
Löwe, Sindy, et al. “Rotating Features for Object Discovery.” ArXiv, 2306.00600, doi:10.48550/arXiv.2306.00600.
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