Souza, Amauri H

16 publications

ICLR 2026 Cooperative Sheaf Neural Networks André Ribeiro, Ana Luiza Tenorio, Juan Belieni, Amauri H Souza, Diego Mesquita

ICLR 2026 Differentiable Lifting for Topological Neural Networks Jorge Luiz Franco, Gabriel Duarte, Alexander V Nikitin, Moacir A Ponti, Diego Mesquita, Amauri H Souza

ICLR 2026 The Logical Expressiveness of Topological Neural Networks Amirreza Akbari, Amauri H Souza, Vikas K Garg

ICLR 2025 Generalization and Distributed Learning of GFlowNets Tiago Silva, Amauri H Souza, Omar Rivasplata, Vikas Garg, Samuel Kaski, Diego Mesquita

NeurIPS 2025 Graph Persistence Goes Spectral Mattie Ji, Amauri H Souza, Vikas K Garg

MLJ 2025 Minimal Learning Machine for Multi-Label Learning Joonas Hämäläinen, Antoine Hubermont, Amauri H. Souza, César L. C. Mattos, João P. P. Gomes, Tommi Kärkkäinen

NeurIPS 2025 On Topological Descriptors for Graph Products Mattie Ji, Amauri H Souza, Vikas K Garg

ICML 2025 Positional Encoding Meets Persistent Homology on Graphs Yogesh Verma, Amauri H Souza, Vikas K Garg

ICLR 2025 When Do GFlowNets Learn the Right Distribution? Tiago Silva, Rodrigo Barreto Alves, Eliezer de Souza da Silva, Amauri H Souza, Vikas Garg, Samuel Kaski, Diego Mesquita

ICMLW 2024 Analyzing GFlowNets: Stability, Expressiveness, and Assessment Tiago Silva, Eliezer de Souza da Silva, Rodrigo Barreto Alves, Luiz Max Carvalho, Amauri H Souza, Samuel Kaski, Vikas Garg, Diego Mesquita

NeurIPS 2024 Compositional PAC-Bayes: Generalization of GNNs with Persistence and Beyond Kirill Brilliantov, Amauri H. Souza, Vikas Garg

ICML 2024 Embarrassingly Parallel GFlowNets Tiago Silva, Luiz Max Carvalho, Amauri H Souza, Samuel Kaski, Diego Mesquita

ICML 2024 On the Generalization of Equivariant Graph Neural Networks Rafal Karczewski, Amauri H Souza, Vikas Garg

ICMLW 2024 Topological Neural Networks Go Persistent, Equivariant and Continuous Yogesh Verma, Amauri H Souza, Vikas Garg

ICML 2024 Topological Neural Networks Go Persistent, Equivariant, and Continuous Yogesh Verma, Amauri H Souza, Vikas Garg

NeurIPSW 2022 Provably Expressive Temporal Graph Networks Amauri H Souza, Diego Mesquita, Samuel Kaski, Vikas Garg