Few-Shot Learning with Graph Neural Networks. - Victor Garcia Satorras; Joan Bruna Estrach (ICLR (Poster), 2018)

Combining Generative and Discriminative Models for Hybrid Inference. - Victor Garcia Satorras; Max Welling; Zeynep Akata (NeurIPS, 2019)

The Convolution Exponential and Generalized Sylvester Flows. - Emiel Hoogeboom; Victor Garcia Satorras; Jakub M. Tomczak; Max Welling (NeurIPS, 2020)

Neural Enhanced Belief Propagation on Factor Graphs. - Victor Garcia Satorras; Max Welling (AISTATS, 2021)

E(n) Equivariant Graph Neural Networks. - Victor Garcia Satorras; Emiel Hoogeboom; Max Welling (ICML, 2021)

E(n) Equivariant Normalizing Flows. - Victor Garcia Satorras; Emiel Hoogeboom; Fabian Fuchs; Ingmar Posner; Max Welling (NeurIPS, 2021)

E(n) Equivariant Normalizing Flows for Molecule Generation in 3D. - Victor Garcia Satorras; Emiel Hoogeboom; Fabian B. Fuchs; Ingmar Posner; Max Welling (CoRR, 2021)

A Study of Joint Graph Inference and Forecasting. - Daniel Zügner; François-Xavier Aubet; Victor Garcia Satorras; Tim Januschowski; Stephan Günnemann; Jan Gasthaus (CoRR, 2021)

Equivariant Diffusion for Molecule Generation in 3D. - Emiel Hoogeboom; Victor Garcia Satorras; Clément Vignac; Max Welling (ICML, 2022)

Multivariate Time Series Forecasting with Latent Graph Inference. - Victor Garcia Satorras; Syama Sundar Rangapuram; Tim Januschowski (CoRR, 2022)

Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design. - Ilia Igashov; Hannes Stärk; Clément Vignac; Victor Garcia Satorras; Pascal Frossard; Max Welling; Michael M. Bronstein; Bruno E. Correia (CoRR, 2022)

Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics. - Marloes Arts; Victor Garcia Satorras; Chin-Wei Huang; Daniel Zügner; Marco Federici; Cecilia Clementi; Frank Noé; Robert Pinsler; Rianne van den Berg (CoRR, 2023)

Equivariant 3D-conditional diffusion model for molecular linker design. - Ilia Igashov; Hannes Stärk; Clément Vignac; Arne Schneuing; Victor Garcia Satorras; Pascal Frossard; Max Welling; Michael M. Bronstein; Bruno E. Correia (Nat. Mac. Intell., 2024)

Improved motif-scaffolding with SE(3) flow matching. - Jason Yim; Andrew Campbell; Emile Mathieu; Andrew Y. K. Foong; Michael Gastegger; José Jiménez-Luna; Sarah Lewis; Victor Garcia Satorras; Bastiaan S. Veeling; Frank Noé; Regina Barzilay; Tommi S. Jaakkola (Trans. Mach. Learn. Res., 2024)