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100 Publications


2026 | Accepted | Conference Paper | IST-REx-ID: 21113 | OA
Montagna F. On the identifiability of causal graphs with multiple environments. In: The 14th International Conference on Learning Representations. OpenReview.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20032 | OA
Chen J, Yao D, Pervez AA, Alistarh D-A, Locatello F. Scalable mechanistic neural networks. In: 13th International Conference on Learning Representations. ICLR; 2025:63716-63737.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20036 | OA
Pariza V, Salehi M, Burghouts G, Locatello F, Asano YM. Near, far: Patch-ordering enhances vision foundation models’ scene understanding. In: 13th International Conference on Learning Representations. ICLR; 2025:72303-72330.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20303 | OA
Huang S, Pfister N, Bowden J. Sparse causal effect estimation using two-sample summary statistics in the presence of unmeasured confounding. In: The 28th International Conference on Artificial Intelligence and Statistics. Vol 258. ML Research Press; 2025:3394-3402.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20592 | OA
Yao D, Tronarp F, Bosch N. Propagating model uncertainty through filtering-based probabilistic numerical ODE solvers. In: Proceedings of the 1st International Conference on Probabilistic Numerics. Vol 271. ML Research Press; 2025.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20817 | OA
Pervez AA, Gavves E, Locatello F. Mechanistic PDE networks for discovery of governing equations. In: 42nd International Conference on Machine Learning. Vol 267. ML Research Press; 2025:48962-48973.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 19010 | OA
Yao D, Rancati D, Cadei R, Fumero M, Locatello F. Unifying causal representation learning with the invariance principle. In: 13th International Conference on Learning Representations. ICLR; 2025.
[Published Version] View | Files available | arXiv
 

2025 | Submitted | Preprint | IST-REx-ID: 19674 | OA
Basile L, Maiorca V, Bortolussi L, Rodolà E, Locatello F. ResiDual transformer alignment with spectral decomposition. arXiv. doi:10.48550/arXiv.2411.00246
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2025 | Published | Journal Article | IST-REx-ID: 20934 | OA | PlanS
Montagna F, Cairney-Leeming MT, Sridhar D, Locatello F. Demystifying amortized causal discovery with transformers. Transactions on Machine Learning Research. 2025.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 21049 | OA
Gairola S, Böhle M, Locatello F, Schiele B. How to probe: Simple yet effective techniques for improving post-hoc explanations. In: 13th International Conference on Learning Representations. ICLR; 2025.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 21066 | OA
Montagna F, Faller P, Blöbaum P, Kirschbaum E, Locatello F. Score matching through the roof: Linear, nonlinear, and latent variables causal discovery. In: Proceedings of the Fourth Conference on Causal Learning and Reasoning. Vol 275. ML Research Press; 2025:552-605.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2025 | Epub ahead of print | Conference Paper | IST-REx-ID: 21068 | OA
Yao D, Huang S, Cadei R, Zhang K, Locatello F. The third pillar of causal analysis? A measurement perspective on causal representations. In: 39th Annual Conference on Neural Information Processing Systems. Vol 38. Neural Information Processing Systems Foundation; 2025.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

2025 | Epub ahead of print | Conference Paper | IST-REx-ID: 21070 | OA
Demirel B, Fumero M, Locatello F. Out-of-Distribution detection with relative angles. In: 39th Annual Conference on Neural Information Processing Systems. Vol 38. Neural Information Processing Systems Foundation; 2025.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

2025 | Epub ahead of print | Conference Paper | IST-REx-ID: 21072 | OA
Basile L, Maiorca V, Doimo D, Locatello F, Cazzaniga A. Head pursuit: Probing attention specialization in multimodal transformers. In: 39th Annual Conference on Neural Information Processing Systems. Vol 38. Neural Information Processing Systems Foundation; 2025.
[Preprint] View | Files available | Download Preprint (ext.) | arXiv
 

2025 | Epub ahead of print | Conference Paper | IST-REx-ID: 21074 | OA
Yu H, Inal B, Arvanitidis G, Hauberg S, Locatello F, Fumero M. Connecting neural models latent geometries with relative geodesic representations. In: 39th Annual Conference on Neural Information Processing Systems. Vol 38. Neural Information Processing Systems Foundation; 2025.
[Published Version] View | Files available | arXiv
 

2025 | Epub ahead of print | Conference Paper | IST-REx-ID: 21076 | OA
Cadei R, Demirel I, De Bartolomeis P, et al. Prediction-powered causal inferences. In: 39th Annual Conference on Neural Information Processing Systems. Vol 38. Neural Information Processing Systems Foundation; 2025.
[Published Version] View | Files available
 

2024 | Published | Conference Paper | IST-REx-ID: 14213 | OA
Lao D, Hu Z, Locatello F, Yang Y, Soatto S. Divided attention: Unsupervised multi-object discovery with contextually separated slots. In: 1st Conference on Parsimony and Learning. ; 2024.
[Published Version] View | Files available | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18114 | OA
Pervez AA, Locatello F, Gavves E. Mechanistic neural networks for scientific machine learning. In: Proceedings of the 41st International Conference on Machine Learning. Vol 235. ML Research Press; 2024:40484-40501.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18847 | OA
Cadei R, Lindorfer L, Cremer S, Schmid C, Locatello F. Smoke and mirrors in causal downstream tasks. In: ICML 2024 Workshop AI4Science. Vol 38. Curran Associates; 2024.
[Published Version] View | Files available | arXiv
 

2024 | Research Data Reference | IST-REx-ID: 18895 | OA
Cadei R, Locatello F, Cremer S, Lindorfer L, Schmid C. ISTAnt. 2024. doi:10.6084/M9.FIGSHARE.26484934.V2
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 

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