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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.” 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, Jiale, et al. “Scalable Mechanistic Neural Networks.” 13th International Conference on Learning Representations, ICLR, 2025, pp. 63716–37.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20036 | OA
Pariza, Valentinos, et al. “Near, Far: Patch-Ordering Enhances Vision Foundation Models’ Scene Understanding.” 13th International Conference on Learning Representations, ICLR, 2025, pp. 72303–30.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20303 | OA
Huang, Shimeng, et al. “Sparse Causal Effect Estimation Using Two-Sample Summary Statistics in the Presence of Unmeasured Confounding.” The 28th International Conference on Artificial Intelligence and Statistics, vol. 258, ML Research Press, 2025, pp. 3394–402.
[Preprint] View | Download Preprint (ext.) | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 20592 | OA
Yao, Dingling, et al. “Propagating Model Uncertainty through Filtering-Based Probabilistic Numerical ODE Solvers.” 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., et al. “Mechanistic PDE Networks for Discovery of Governing Equations.” 42nd International Conference on Machine Learning, vol. 267, ML Research Press, 2025, pp. 48962–73.
[Published Version] View | Files available | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 19010 | OA
Yao, Dingling, et al. “Unifying Causal Representation Learning with the Invariance Principle.” 13th International Conference on Learning Representations, ICLR, 2025.
[Published Version] View | Files available | arXiv
 

2025 | Submitted | Preprint | IST-REx-ID: 19674 | OA
Basile, Lorenzo, et al. “ResiDual Transformer Alignment with Spectral Decomposition.” ArXiv, 2411.00246, doi:10.48550/arXiv.2411.00246.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2025 | Published | Journal Article | IST-REx-ID: 20934 | OA | PlanS
Montagna, Francesco, et al. “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, et al. “How to Probe: Simple yet Effective Techniques for Improving Post-Hoc Explanations.” 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, et al. “Score Matching through the Roof: Linear, Nonlinear, and Latent Variables Causal Discovery.” Proceedings of the Fourth Conference on Causal Learning and Reasoning, vol. 275, ML Research Press, 2025, pp. 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, Dingling, et al. “The Third Pillar of Causal Analysis? A Measurement Perspective on Causal Representations.” 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, et al. “Out-of-Distribution Detection with Relative Angles.” 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, et al. “Head Pursuit: Probing Attention Specialization in Multimodal Transformers.” 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, et al. “Connecting Neural Models Latent Geometries with Relative Geodesic Representations.” 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, et al. “Prediction-Powered Causal Inferences.” 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, et al. “Divided Attention: Unsupervised Multi-Object Discovery with Contextually Separated Slots.” 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., et al. “Mechanistic Neural Networks for Scientific Machine Learning.” Proceedings of the 41st International Conference on Machine Learning, vol. 235, ML Research Press, 2024, pp. 40484–501.
[Published Version] View | Files available | Download Published Version (ext.) | arXiv
 

2024 | Published | Conference Paper | IST-REx-ID: 18847 | OA
Cadei, Riccardo, et al. “Smoke and Mirrors in Causal Downstream Tasks.” 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, et al. ISTAnt. Institute of Science and Technology Austria, 2024, doi:10.6084/M9.FIGSHARE.26484934.V2.
[Published Version] View | Files available | DOI | Download Published Version (ext.)
 

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