Approximation-Generalization Trade-offs under (Approximate) Group Equivariance. - Mircea Petrache; Shubhendu Trivedi (NeurIPS, 2023)

Three Iterations of (d - 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points. - Valentino Delle Rose; Alexander Kozachinskiy; Cristobal Rojas; Mircea Petrache; Pablo Barceló (NeurIPS, 2023)

Steady State Kinetics for Enzymes with Multiple Binding Sites Upstream of the Catalytic Site. - Manuel I. Osorio; Mircea Petrache; Dino G. Salinas; Felipe Valenzuela-Ibaceta; Fernando D. González Nilo; William Tiznado; José M. Pérez-Donoso; Denisse Bravo; Osvaldo Yañez (Symmetry, 2023)

A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams. - Rolando Kindelan Nuñez; Mircea Petrache; Mauricio Cerda; Nancy Hitschfeld (AAAI, 2024)

Fisher Flow Matching for Generative Modeling over Discrete Data. - Oscar Davis; Samuel Kessler; Mircea Petrache; Ismail Ilkan Ceylan; Michael M. Bronstein; Avishek Joey Bose (NeurIPS, 2024)

Position Paper: Generalized grammar rules and structure-based generalization beyond classical equivariance for lexical tasks and transduction. - Mircea Petrache; Shubhendu Trivedi (CoRR, 2024)

Long Tail Image Generation Through Feature Space Augmentation and Iterated Learning. - Rafael Elberg; Denis Parra; Mircea Petrache (CoRR, 2024)

Understanding the dynamics of the frequency bias in neural networks. - Juan Molina; Mircea Petrache; Francisco Sahli Costabal; Matias Courdurier (CoRR, 2024)

Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks. - Ashwin Samudre; Mircea Petrache; Brian Nord; Shubhendu Trivedi (AISTATS, 2025)

Optimal Quantization with Branched Optimal Transport Distances. - Paul Pegon; Mircea Petrache (SIAM J. Math. Anal., 2025)

A Comunication Framework for Compositional Generation. - Rafael Elberg; Mircea Petrache; Denis Parra (CoRR, 2025)