Publications

Empirical Inference Deep Models and Optimization Conference Paper Generalized Interpolating Discrete Diffusion von Rütte, D., Fluri, J., Ding, Y., Orvieto, A., Schölkopf, B., Hofmann, T. Proceedings of the 42nd International Conference on Machine Learning (ICML), 267:61810-61843, Proceedings of Machine Learning Research, (Editors: Singh, Aarti and Fazel, Maryam and Hsu, Daniel and Lacoste-Julien, Simon and Berkenkamp, Felix and Maharaj, Tegan and Wagstaff, Kiri and Zhu, Jerry), PMLR, International Conference on Machine Learning, July 2025 (Published) arXiv URL BibTeX

Deep Models and Optimization Conference Paper Geometric Inductive Biases of Deep Networks: The Role of Data and Architecture Movahedi, S., Orvieto, A., Moosavi-Dezfooli, S. In The Thirteenth International Conference on Learning Representations, ICLR 2025, The Thirteenth International Conference on Learning Representations, January 2025 (Accepted) BibTeX

Deep Models and Optimization Conference Paper Using Shapley interactions to understand how models use structure Divyansh Singhvi, D. M. A. E. R. J. I. P. N. S. In Proceedings ACL, 1-20, Vienna Center, Association for Computational Linguistics (ACL 2025), 2025 (Accepted) DOI URL BibTeX

Deep Models and Optimization Article An accelerated lyapunov function for Polyak’s Heavy-ball on convex quadratics Orvieto, A. Optimization Letters, 19:307-328, 2025 (Published) DOI URL BibTeX