Lao, D., Hu, Z., Locatello, F., Yang, Y., &; Soatto, S. (2024). Divided attention: Unsupervised multi-object discovery with contextually separated slots. In 1st Conference on Parsimony and Learning. Hong Kong, China.
LibreCat: https://research-explorer.ista.ac.at/record/14213
arXiv: 2304.01430

Sinha, S., Gehler, P., Locatello, F., &; Schiele, B. (2023). TeST: Test-time Self-Training under distribution shift. In 2023 IEEE/CVF Winter Conference on Applications of Computer Vision. Waikoloa, HI, United States: Institute of Electrical and Electronics Engineers.https://doi.org/10.1109/wacv56688.2023.00278 
LibreCat: https://research-explorer.ista.ac.at/record/14105
DOI: 10.1109/wacv56688.2023.00278
arXiv: 2209.11459

Zhu, Z., Liu, F., Chrysos, G. G., Locatello, F., &; Cevher, V. (2023). Benign overfitting in deep neural networks under lazy training. In Proceedings of the 40th International Conference on Machine Learning (Vol. 202, pp. 43105–43128). Honolulu, Hawaii, United States: ML Research Press.
LibreCat: https://research-explorer.ista.ac.at/record/14208
arXiv: 2305.19377

Burg, M. F., Wenzel, F., Zietlow, D., Horn, M., Makansi, O., Locatello, F., &; Russell, C. (n.d.). A data augmentation perspective on diffusion models and retrieval. arXiv.https://doi.org/10.48550/arXiv.2304.10253 
LibreCat: https://research-explorer.ista.ac.at/record/14209
DOI: 10.48550/arXiv.2304.10253
arXiv: 2304.10253

Montagna, F., Noceti, N., Rosasco, L., Zhang, K., &; Locatello, F. (2023). Causal discovery with score matching on additive models with arbitrary noise. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.
LibreCat: https://research-explorer.ista.ac.at/record/14211
arXiv: 2304.03265

Montagna, F., Noceti, N., Rosasco, L., Zhang, K., &; Locatello, F. (2023). Scalable causal discovery with score matching. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.
LibreCat: https://research-explorer.ista.ac.at/record/14212
arXiv: 2304.03382

Liu, Y., Alahi, A., Russell, C., Horn, M., Zietlow, D., Schölkopf, B., &; Locatello, F. (2023). Causal triplet: An open challenge for intervention-centric causal representation learning. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.
LibreCat: https://research-explorer.ista.ac.at/record/14214
arXiv: 2301.05169

Moschella, L., Maiorca, V., Fumero, M., Norelli, A., Locatello, F., &; Rodolà, E. (2023). Relative representations enable zero-shot latent space communication. In The 11th International Conference on Learning Representations. Kigali, Rwanda.
LibreCat: https://research-explorer.ista.ac.at/record/14217
arXiv: 2209.15430

Tangemann, M., Schneider, S., Kügelgen, J. von, Locatello, F., Gehler, P., Brox, T.,  Schölkopf, B. (2023). Unsupervised object learning via common fate. In 2nd Conference on Causal Learning and Reasoning. Tübingen, Germany.
LibreCat: https://research-explorer.ista.ac.at/record/14222
arXiv: 2110.06562

Seitzer, M., Horn, M., Zadaianchuk, A., Zietlow, D., Xiao, T., Carl-Johann Simon-Gabriel, C.-J. S.-G.,  Locatello, F. (2023). Bridging the gap to real-world object-centric learning. In The 11th International Conference on Learning Representations. Kigali, Rwanda.
LibreCat: https://research-explorer.ista.ac.at/record/14218
arXiv: 2209.14860

Zadaianchuk, A., Kleindessner, M., Zhu, Y., Locatello, F., &; Brox, T. (2023). Unsupervised semantic segmentation with self-supervised object-centric representations. In The 11th International Conference on Learning Representations. Kigali, Rwanda.
LibreCat: https://research-explorer.ista.ac.at/record/14219
arXiv: 2207.05027

Faller, P. M., Vankadara, L. C., Mastakouri, A. A., Locatello, F., &; Janzing, D. (n.d.). Self-compatibility: Evaluating causal discovery without ground truth. arXiv.https://doi.org/10.48550/arXiv.2307.09552 
LibreCat: https://research-explorer.ista.ac.at/record/14333
DOI: 10.48550/arXiv.2307.09552
arXiv: 2307.09552

Burg, M., Wenzel, F., Zietlow, D., Horn, M., Makansi, O., Locatello, F., &; Russell, C. (2023). Image retrieval outperforms diffusion models on data augmentation. Journal of Machine Learning Research. ML Research Press.
LibreCat: https://research-explorer.ista.ac.at/record/14949

Yao, D., Xu, D., Lachapelle, S., Magliacane, S., Taslakian, P., Martius, G.,https://doi.org/10.48550/arXiv.2311.04056__Locatello, F. (n.d.). Multi-view causal representation learning with partial observability. arXiv.https://doi.org/10.48550/arXiv.2311.04056 
LibreCat: https://research-explorer.ista.ac.at/record/14946
DOI: 10.48550/arXiv.2311.04056
arXiv: 2311.04056

Maiorca, V., Moschella, L., Norelli, A., Fumero, M., Locatello, F., &; Rodolà, E. (n.d.). Latent space translation via semantic alignment. arXiv.https://doi.org/10.48550/arXiv.2311.00664 
LibreCat: https://research-explorer.ista.ac.at/record/14952
DOI: 10.48550/arXiv.2311.00664
arXiv: 2311.00664

Kori, A., Locatello, F., Ribeiro, F. D. S., Toni, F., &; Glocker, B. (n.d.). Grounded object centric learning. arXiv.https://doi.org/10.48550/arXiv.2307.09437 
LibreCat: https://research-explorer.ista.ac.at/record/14948
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arXiv: 2307.09437

Zhu, Z., Locatello, F., &; Cevher, V. (n.d.). Sample complexity bounds for score-matching: Causal discovery and generative modeling. arXiv.https://doi.org/10.48550/arXiv.2310.18123 
LibreCat: https://research-explorer.ista.ac.at/record/14953
DOI: 10.48550/arXiv.2310.18123
arXiv: 2310.18123

Montagna, F., Mastakouri, A. A., Eulig, E., Noceti, N., Rosasco, L., Janzing, D.,https://doi.org/10.48550/arXiv.2310.13387__Locatello, F. (n.d.). Assumption violations in causal discovery and the robustness of score matching. arXiv.https://doi.org/10.48550/arXiv.2310.13387 
LibreCat: https://research-explorer.ista.ac.at/record/14954
DOI: 10.48550/arXiv.2310.13387
arXiv: 2310.13387

Fumero, M., Wenzel, F., Zancato, L., Achille, A., Rodolà, E., Soatto, S.,https://doi.org/10.48550/arXiv.2304.07939__Locatello, F. (n.d.). Leveraging sparse and shared feature activations for disentangled representation learning. arXiv.https://doi.org/10.48550/arXiv.2304.07939 
LibreCat: https://research-explorer.ista.ac.at/record/14210
DOI: 10.48550/arXiv.2304.07939
arXiv: 2304.07939

Löwe, S., Lippe, P., Locatello, F., &; Welling, M. (n.d.). Rotating features for object discovery. arXiv.https://doi.org/10.48550/arXiv.2306.00600 
LibreCat: https://research-explorer.ista.ac.at/record/14207
DOI: 10.48550/arXiv.2306.00600
arXiv: 2306.00600