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Victor Garcia Satorras
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Journal Articles
- 2024
- [j2]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): 417-427 (2024) - [j1]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)
Conference and Workshop Papers
- 2022
- [c7]Emiel Hoogeboom, Victor Garcia Satorras, Clément Vignac, Max Welling:
Equivariant Diffusion for Molecule Generation in 3D. ICML 2022: 8867-8887 - 2021
- [c6]Victor Garcia Satorras, Max Welling:
Neural Enhanced Belief Propagation on Factor Graphs. AISTATS 2021: 685-693 - [c5]Victor Garcia Satorras, Emiel Hoogeboom, Max Welling:
E(n) Equivariant Graph Neural Networks. ICML 2021: 9323-9332 - [c4]Victor Garcia Satorras, Emiel Hoogeboom, Fabian Fuchs, Ingmar Posner, Max Welling:
E(n) Equivariant Normalizing Flows. NeurIPS 2021: 4181-4192 - 2020
- [c3]Emiel Hoogeboom, Victor Garcia Satorras, Jakub M. Tomczak, Max Welling:
The Convolution Exponential and Generalized Sylvester Flows. NeurIPS 2020 - 2019
- [c2]Victor Garcia Satorras, Max Welling, Zeynep Akata:
Combining Generative and Discriminative Models for Hybrid Inference. NeurIPS 2019: 13802-13812 - 2018
- [c1]Victor Garcia Satorras, Joan Bruna Estrach:
Few-Shot Learning with Graph Neural Networks. ICLR (Poster) 2018
Informal and Other Publications
- 2024
- [i12]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 abs/2401.04082 (2024) - 2023
- [i11]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 abs/2302.00600 (2023) - 2022
- [i10]Victor Garcia Satorras, Syama Sundar Rangapuram, Tim Januschowski:
Multivariate Time Series Forecasting with Latent Graph Inference. CoRR abs/2203.03423 (2022) - [i9]Emiel Hoogeboom, Victor Garcia Satorras, Clément Vignac, Max Welling:
Equivariant Diffusion for Molecule Generation in 3D. CoRR abs/2203.17003 (2022) - [i8]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 abs/2210.05274 (2022) - 2021
- [i7]Victor Garcia Satorras, Emiel Hoogeboom, Max Welling:
E(n) Equivariant Graph Neural Networks. CoRR abs/2102.09844 (2021) - [i6]Victor Garcia Satorras, Emiel Hoogeboom, Fabian B. Fuchs, Ingmar Posner, Max Welling:
E(n) Equivariant Normalizing Flows for Molecule Generation in 3D. CoRR abs/2105.09016 (2021) - [i5]Daniel Zügner, François-Xavier Aubet, Victor Garcia Satorras, Tim Januschowski, Stephan Günnemann, Jan Gasthaus:
A Study of Joint Graph Inference and Forecasting. CoRR abs/2109.04979 (2021) - 2020
- [i4]Victor Garcia Satorras, Max Welling:
Neural Enhanced Belief Propagation on Factor Graphs. CoRR abs/2003.01998 (2020) - [i3]Emiel Hoogeboom, Victor Garcia Satorras, Jakub M. Tomczak, Max Welling:
The Convolution Exponential and Generalized Sylvester Flows. CoRR abs/2006.01910 (2020) - 2019
- [i2]Victor Garcia Satorras, Zeynep Akata, Max Welling:
Combining Generative and Discriminative Models for Hybrid Inference. CoRR abs/1906.02547 (2019) - 2017
- [i1]Victor Garcia Satorras, Joan Bruna:
Few-Shot Learning with Graph Neural Networks. CoRR abs/1711.04043 (2017)
Coauthor Index
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