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102 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 | 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 | 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 | 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: 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 | Published | 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 | 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 | 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: 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
 

2025 | Published | 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 | Published | 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 | Published | Conference Paper | IST-REx-ID: 22832 | OA
Cadei, Riccardo, et al. “Prediction-Powered Causal Inferences.” 39th Conference on Neural Information Processing Systems, vol. 38, Neural Information Processing Systems Foundation, 2025, pp. 82200–29, doi:10.52202/085713-2479.
[Preprint] View | DOI | Download Preprint (ext.) | arXiv
 

2025 | Published | Conference Paper | IST-REx-ID: 22831
Yu, Hanlin, et al. “Connecting Neural Models Latent Geometries with Relative Geodesic Representations.” 39th Conference on Neural Information Processing Systems, vol. 38, Neural Information Processing Systems Foundation, 2025, pp. 125316–60, doi:10.52202/085713-3769.
View | Files available | DOI | arXiv
 

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: 14946 | OA
Yao, Dingling, et al. “Multi-View Causal Representation Learning with Partial Observability.” 12th International Conference on Learning Representations, Curran Associates, 2024.
[Published Version] View | Files available | arXiv
 

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