Victor García Satorras

Microsoft Research (United Kingdom) — United Kingdom

Biochemistry, Genetics and Molecular Biology · Life Sciences

14h-index961citations25works49.22yr avg
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Research Topics

Protein Structure and Dynamics(10), Machine Learning in Materials Science(6), Advanced Graph Neural Networks(5), Bayesian Modeling and Causal Inference(4), Computational Drug Discovery Methods(3)

Publications25 total

A Scientific Reasoning Model for Organic Synthesis Procedure Generation
arXiv (Cornell University)·2025Open Access
Scalable emulation of protein equilibrium ensembles with generative deep learning
Science·2025· 112 cited
Accurate Chemistry Collection: Coupled cluster atomization energies for broad chemical space
ArXiv.org·2025· 1 citedOpen Access
Scalable emulation of protein equilibrium ensembles with generative deep learning
2024· 56 citedOpen Access
Equivariant 3D-conditional diffusion model for molecular linker design
Nature Machine Intelligence·2024· 118 citedOpen Access
Improved motif-scaffolding with SE(3) flow matching
PubMed·2024· 8 citedOpen Access
Fast protein backbone generation with SE(3) flow matching
arXiv (Cornell University)·2023· 21 citedOpen Access
Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics
Journal of Chemical Theory and Computation·2023· 77 citedOpen Access
Two for One: Diffusion Models and Force Fields for Coarse-Grained Molecular Dynamics
arXiv (Cornell University)·2023· 10 citedOpen Access
Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design
arXiv (Cornell University)·2022· 34 citedOpen Access
Equivariant Diffusion for Molecule Generation in 3D
arXiv (Cornell University)·2022· 118 citedOpen Access
Multivariate Time Series Forecasting with Latent Graph Inference
arXiv (Cornell University)·2022· 11 citedOpen Access
A Study of Joint Graph Inference and Forecasting
arXiv (Cornell University)·2021· 4 citedOpen Access
A Study of Joint Graph Inference and Forecasting
arXiv (Cornell University)·2021· 5 citedOpen Access
E(n) Equivariant Normalizing Flows
arXiv (Cornell University)·2021· 7 citedOpen Access
E(n) Equivariant Normalizing Flows for Molecule Generation in 3D
arXiv (Cornell University)·2021· 17 citedOpen Access
Neural Enhanced Belief Propagation on Factor Graphs
International Conference on Artificial Intelligence and Statistics·2021· 16 cited
E(n) Equivariant Graph Neural Networks
arXiv (Cornell University)·2021· 105 citedOpen Access
The Convolution Exponential and Generalized Sylvester Flows
arXiv (Cornell University)·2020· 3 citedOpen Access
Neural Enhanced Belief Propagation on Factor Graphs
arXiv (Cornell University)·2020· 34 citedOpen Access
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Frequent Co-authors

Max Welling(11), Frank Noé(6), Emiel Hoogeboom(5), José Jiménez-Luna(4), Michael Gastegger(4), Andrew Y. K. Foong(4), Bastiaan S. Veeling(4), Andrew M. Campbell(4), Jason Yim(4), Cecilia Clementi(4), Clément Vignac(3), Arne Schneuing(3), Chin‐Wei Huang(3), Daniel Zügner(3), Rianne van den Berg(3), Sarah Lewis(3), Tim Januschowski(3), Ilia Igashov(2), H. Stärk(2), Pascal Frossard(2)