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100 Publications


2026 | Accepted | Conference Paper | IST-REx-ID: 21113 | OA
Montagna, Francesco. “On the Identifiability of Causal Graphs with Multiple Environments.” In The 14th International Conference on Learning Representations. OpenReview, n.d.
[Published Version] View | Download Published Version (ext.) | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20032 | OA
Chen, Jiale, Dingling Yao, Adeel A Pervez, Dan-Adrian Alistarh, and Francesco Locatello. “Scalable Mechanistic Neural Networks.” In 13th International Conference on Learning Representations, 63716–37. ICLR, 2025.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20036 | OA
Pariza, Valentinos, Mohammadreza Salehi, Gertjan Burghouts, Francesco Locatello, and Yuki M. Asano. “Near, Far: Patch-Ordering Enhances Vision Foundation Models’ Scene Understanding.” In 13th International Conference on Learning Representations, 72303–30. ICLR, 2025.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20303 | OA
Huang, Shimeng, Niklas Pfister, and Jack Bowden. “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, 258:3394–3402. ML Research Press, 2025.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20592 | OA
Yao, Dingling, Filip Tronarp, and Nathanael Bosch. “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, Adeel A, Efstratios Gavves, and Francesco Locatello. “Mechanistic PDE Networks for Discovery of Governing Equations.” In 42nd International Conference on Machine Learning, 267:48962–73. ML Research Press, 2025.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 19010 | OA
Yao, Dingling, Dario Rancati, Riccardo Cadei, Marco Fumero, and Francesco Locatello. “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, Lorenzo, Valentino Maiorca, Luca Bortolussi, Emanuele Rodolà, and Francesco Locatello. “ResiDual Transformer Alignment with Spectral Decomposition.” ArXiv, n.d. https://doi.org/10.48550/arXiv.2411.00246.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2025 | Published | Journal Article | IST-REx-ID: 20934 | OA | PlanS
Montagna, Francesco, Maximilian T Cairney-Leeming, Dhanya Sridhar, and Francesco Locatello. “Demystifying Amortized Causal Discovery with Transformers.” Transactions on Machine Learning Research. ML Research Press, 2025.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 21049 | OA
Gairola, Siddhartha, Moritz Böhle, Francesco Locatello, and Bernt Schiele. “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, Francesco, Philipp Faller, Patrik Blöbaum, Elke Kirschbaum, and Francesco Locatello. “Score Matching through the Roof: Linear, Nonlinear, and Latent Variables Causal Discovery.” In Proceedings of the Fourth Conference on Causal Learning and Reasoning, 275:552–605. ML Research Press, 2025.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2025 | Epub ahead of print | Conference Paper | IST-REx-ID: 21068 | OA
Yao, Dingling, Shimeng Huang, Riccardo Cadei, Kun Zhang, and Francesco Locatello. “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, Berker, Marco Fumero, and Francesco Locatello. “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, Lorenzo, Valentino Maiorca, Diego Doimo, Francesco Locatello, and Alberto Cazzaniga. “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, Hanlin, Befrin Inal, Georgios Arvanitidis, Soren Hauberg, Francesco Locatello, and Marco Fumero. “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, Riccardo, Ilker Demirel, Piersilvio De Bartolomeis, Lukas Lindorfer, Sylvia Cremer, Cordelia Schmid, and Francesco Locatello. “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, Dong, Zhengyang Hu, Francesco Locatello, Yanchao Yang, and Stefano Soatto. “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, Adeel A, Francesco Locatello, and Efstratios Gavves. “Mechanistic Neural Networks for Scientific Machine Learning.” In Proceedings of the 41st International Conference on Machine Learning, 235:40484–501. ML Research Press, 2024.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18847 | OA
Cadei, Riccardo, Lukas Lindorfer, Sylvia Cremer, Cordelia Schmid, and Francesco Locatello. “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, Riccardo, Francesco Locatello, Sylvia Cremer, Lukas Lindorfer, and Cordelia Schmid. “ISTAnt.” Institute of Science and Technology Austria, 2024. https://doi.org/10.6084/M9.FIGSHARE.26484934.V2.
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 

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