Victor Garcia Satorras

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 21

Top Topics

Diffusion Model

Generative And Discriminative Models

Diffusion Processes

Top Venues

Publications

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
Improved motif-scaffolding with SE(3) flow matching. Trans. Mach. Learn. Res. 2024 (2024)
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
Improved motif-scaffolding with SE(3) flow matching. CoRR (2024)
Ilia Igashov, Hannes Stärk, Clément Vignac, Arne Schneuing, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia
Equivariant 3D-conditional diffusion model for molecular linker design. Nat. Mac. Intell. 6 (4) (2024)
Marloes Arts, Victor Garcia Satorras, Chin-Wei Huang, Daniel Zügner, Marco Federici, Cecilia Clementi, Frank Noé, Robert Pinsler, Rianne van den Berg
Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics. CoRR (2023)
Emiel Hoogeboom, Victor Garcia Satorras, Clément Vignac, Max Welling
Equivariant Diffusion for Molecule Generation in 3D. CoRR (2022)
Victor Garcia Satorras, Syama Sundar Rangapuram, Tim Januschowski
Multivariate Time Series Forecasting with Latent Graph Inference. CoRR (2022)
Emiel Hoogeboom, Victor Garcia Satorras, Clément Vignac, Max Welling
Equivariant Diffusion for Molecule Generation in 3D. ICML (2022)
Ilia Igashov, Hannes Stärk, Clément Vignac, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design. CoRR (2022)
Victor Garcia Satorras, Emiel Hoogeboom, Max Welling
E(n) Equivariant Graph Neural Networks. ICML (2021)
Victor Garcia Satorras, Emiel Hoogeboom, Fabian B. Fuchs, Ingmar Posner, Max Welling
E(n) Equivariant Normalizing Flows for Molecule Generation in 3D. CoRR (2021)
Victor Garcia Satorras, Max Welling
Neural Enhanced Belief Propagation on Factor Graphs. AISTATS (2021)
Victor Garcia Satorras, Emiel Hoogeboom, Max Welling
E(n) Equivariant Graph Neural Networks. CoRR (2021)
Daniel Zügner, François-Xavier Aubet, Victor Garcia Satorras, Tim Januschowski, Stephan Günnemann, Jan Gasthaus
A Study of Joint Graph Inference and Forecasting. CoRR (2021)
Victor Garcia Satorras, Emiel Hoogeboom, Fabian Fuchs, Ingmar Posner, Max Welling
E(n) Equivariant Normalizing Flows. NeurIPS (2021)
Emiel Hoogeboom, Victor Garcia Satorras, Jakub M. Tomczak, Max Welling
The Convolution Exponential and Generalized Sylvester Flows. NeurIPS (2020)
Emiel Hoogeboom, Victor Garcia Satorras, Jakub M. Tomczak, Max Welling
The Convolution Exponential and Generalized Sylvester Flows. CoRR (2020)
Victor Garcia Satorras, Max Welling
Neural Enhanced Belief Propagation on Factor Graphs. CoRR (2020)
Victor Garcia Satorras, Zeynep Akata, Max Welling
Combining Generative and Discriminative Models for Hybrid Inference. CoRR (2019)
Victor Garcia Satorras, Max Welling, Zeynep Akata
Combining Generative and Discriminative Models for Hybrid Inference. NeurIPS (2019)
Victor Garcia Satorras, Joan Bruna Estrach
Few-Shot Learning with Graph Neural Networks. ICLR (Poster) (2018)
Victor Garcia Satorras, Joan Bruna
Few-Shot Learning with Graph Neural Networks. CoRR (2017)