Victor Garcia Satorras

22 papers A* 5A 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Scientific Reasoning Model for Organic Synthesis Procedure Generation. CoRR Guoqing Liu, Junren Li, Zihan Zhao, Eray Inanc, Krzysztof Maziarz, José Garrido Torres, Victor Garcia Satorras, Shoko Ueda, Christopher M. Bishop, Marwin H. S. Segler
2024	J	`jnl`	Equivariant 3D-conditional diffusion model for molecular linker design. Nat. Mac. Intell. Ilia Igashov, Hannes Stärk, Clément Vignac, Arne Schneuing, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia
2024	J	`jnl`	Improved motif-scaffolding with SE(3) flow matching. CoRR 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
2024	J	`jnl`	Improved motif-scaffolding with SE(3) flow matching. Trans. Mach. Learn. Res. 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
2023	J	`jnl`	Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics. CoRR Marloes Arts, Victor Garcia Satorras, Chin-Wei Huang, Daniel Zügner, Marco Federici, Cecilia Clementi, Frank Noé, Robert Pinsler, Rianne van den Berg
2022	J	`jnl`	Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design. CoRR Ilia Igashov, Hannes Stärk, Clément Vignac, Victor Garcia Satorras, Pascal Frossard, Max Welling, Michael M. Bronstein, Bruno E. Correia
2022	A*	`conf`	Equivariant Diffusion for Molecule Generation in 3D. ICML Emiel Hoogeboom, Victor Garcia Satorras, Clément Vignac, Max Welling
2022	J	`jnl`	Equivariant Diffusion for Molecule Generation in 3D. CoRR Emiel Hoogeboom, Victor Garcia Satorras, Clément Vignac, Max Welling
2022	J	`jnl`	Multivariate Time Series Forecasting with Latent Graph Inference. CoRR Victor Garcia Satorras, Syama Sundar Rangapuram, Tim Januschowski
2021	J	`jnl`	A Study of Joint Graph Inference and Forecasting. CoRR Daniel Zügner, François-Xavier Aubet, Victor Garcia Satorras, Tim Januschowski, Stephan Günnemann, Jan Gasthaus
2021	A*	`conf`	E(n) Equivariant Graph Neural Networks. ICML Victor Garcia Satorras, Emiel Hoogeboom, Max Welling
2021	J	`jnl`	E(n) Equivariant Graph Neural Networks. CoRR Victor Garcia Satorras, Emiel Hoogeboom, Max Welling
2021	J	`jnl`	E(n) Equivariant Normalizing Flows for Molecule Generation in 3D. CoRR Victor Garcia Satorras, Emiel Hoogeboom, Fabian B. Fuchs, Ingmar Posner, Max Welling
2021	A*	`conf`	E(n) Equivariant Normalizing Flows. NeurIPS Victor Garcia Satorras, Emiel Hoogeboom, Fabian Fuchs, Ingmar Posner, Max Welling
2021	A	`conf`	Neural Enhanced Belief Propagation on Factor Graphs. AISTATS Victor Garcia Satorras, Max Welling
2020	J	`jnl`	Neural Enhanced Belief Propagation on Factor Graphs. CoRR Victor Garcia Satorras, Max Welling
2020	A*	`conf`	The Convolution Exponential and Generalized Sylvester Flows. NeurIPS Emiel Hoogeboom, Victor Garcia Satorras, Jakub M. Tomczak, Max Welling
2020	J	`jnl`	The Convolution Exponential and Generalized Sylvester Flows. CoRR Emiel Hoogeboom, Victor Garcia Satorras, Jakub M. Tomczak, Max Welling
2019	A*	`conf`	Combining Generative and Discriminative Models for Hybrid Inference. NeurIPS Victor Garcia Satorras, Max Welling, Zeynep Akata
2019	J	`jnl`	Combining Generative and Discriminative Models for Hybrid Inference. CoRR Victor Garcia Satorras, Zeynep Akata, Max Welling
2018	—	`conf`	Few-Shot Learning with Graph Neural Networks. ICLR (Poster) Victor Garcia Satorras, Joan Bruna Estrach
2017	J	`jnl`	Few-Shot Learning with Graph Neural Networks. CoRR Victor Garcia Satorras, Joan Bruna