Mircea Petrache

18 papers A* 4A 1Journal 13
YearRankTypeTitle / Venue / Authors
2026 J jnl
Recurrent Equivariant Constraint Modulation: Learning Per-Layer Symmetry Relaxation from Data.
CoRR
Stefanos Pertigkiozoglou, Mircea Petrache, Shubhendu Trivedi, Kostas Daniilidis
2025 J jnl
A Comunication Framework for Compositional Generation.
CoRR
Rafael Elberg, Mircea Petrache, Denis Parra
2025 J jnl
On Universality of Deep Equivariant Networks.
CoRR
Marco Pacini, Mircea Petrache, Bruno Lepri, Shubhendu Trivedi, Robin Walters
2025 J jnl
Optimal Quantization with Branched Optimal Transport Distances.
SIAM J. Math. Anal.
Paul Pegon, Mircea Petrache
2025 A conf
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks.
AISTATS
Ashwin Samudre, Mircea Petrache, Brian Nord, Shubhendu Trivedi
2024 A* conf
A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams.
AAAI
Rolando Kindelan Nuñez, Mircea Petrache, Mauricio Cerda, Nancy Hitschfeld
2024 J jnl
A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams.
CoRR
Rolando Kindelan Nuñez, Mircea Petrache, Mauricio Cerda, Nancy Hitschfeld
2024 A* conf
Fisher Flow Matching for Generative Modeling over Discrete Data.
NeurIPS
Oscar Davis, Samuel Kessler, Mircea Petrache, Ismail Ilkan Ceylan, Michael M. Bronstein, Avishek Joey Bose
2024 J jnl
Fisher Flow Matching for Generative Modeling over Discrete Data.
CoRR
Oscar Davis, Samuel Kessler, Mircea Petrache, Ismail Ilkan Ceylan, Michael M. Bronstein, Avishek Joey Bose
2024 J jnl
Long Tail Image Generation Through Feature Space Augmentation and Iterated Learning.
CoRR
Rafael Elberg, Denis Parra, Mircea Petrache
2024 J jnl
Position Paper: Generalized grammar rules and structure-based generalization beyond classical equivariance for lexical tasks and transduction.
CoRR
Mircea Petrache, Shubhendu Trivedi
2024 J jnl
Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks.
CoRR
Ashwin Samudre, Mircea Petrache, Brian Nord, Shubhendu Trivedi
2024 J jnl
Understanding the dynamics of the frequency bias in neural networks.
CoRR
Juan Molina, Mircea Petrache, Francisco Sahli Costabal, Matias Courdurier
2023 A* conf
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance.
NeurIPS
Mircea Petrache, Shubhendu Trivedi
2023 J jnl
Approximation-Generalization Trade-offs under (Approximate) Group Equivariance.
CoRR
Mircea Petrache, Shubhendu Trivedi
2023 J jnl
Steady State Kinetics for Enzymes with Multiple Binding Sites Upstream of the Catalytic Site.
Symmetry
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
2023 A* conf
Three Iterations of (d - 1)-WL Test Distinguish Non Isometric Clouds of d-dimensional Points.
NeurIPS
Valentino Delle Rose, Alexander Kozachinskiy, Cristobal Rojas, Mircea Petrache, Pablo Barceló
2023 J jnl
Three iterations of (d-1)-WL test distinguish non isometric clouds of d-dimensional points.
CoRR
Valentino Delle Rose, Alexander Kozachinskiy, Cristóbal Rojas, Mircea Petrache, Pablo Barceló