Victor Garcia Satorras

According to our database, Victor Garcia Satorras authored at least 13 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

CoRR, 2024

2023

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

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

Multivariate Time Series Forecasting with Latent Graph Inference.

Victor Garcia Satorras, Syama Sundar Rangapuram, Tim Januschowski

CoRR, 2022

Equivariant Diffusion for Molecule Generation in 3D.

Emiel Hoogeboom, Victor Garcia Satorras, Clément Vignac, Max Welling

Proceedings of the International Conference on Machine Learning, 2022

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

E(n) Equivariant Normalizing Flows for Molecule Generation in 3D.

Victor Garcia Satorras, Emiel Hoogeboom, Fabian B. Fuchs, Ingmar Posner, Max Welling

CoRR, 2021

E(n) Equivariant Normalizing Flows.

Victor Garcia Satorras, Emiel Hoogeboom, Fabian Fuchs, Ingmar Posner, Max Welling

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

E(n) Equivariant Graph Neural Networks.

Victor Garcia Satorras, Emiel Hoogeboom, Max Welling

Proceedings of the 38th International Conference on Machine Learning, 2021

Neural Enhanced Belief Propagation on Factor Graphs.

Victor Garcia Satorras, Max Welling

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

The Convolution Exponential and Generalized Sylvester Flows.

Emiel Hoogeboom, Victor Garcia Satorras, Jakub M. Tomczak, Max Welling

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Combining Generative and Discriminative Models for Hybrid Inference.

Victor Garcia Satorras, Max Welling, Zeynep Akata

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Few-Shot Learning with Graph Neural Networks.

Victor Garcia Satorras, Joan Bruna Estrach

Proceedings of the 6th International Conference on Learning Representations, 2018