Vignesh Ram Somnath

According to our database, Vignesh Ram Somnath authored at least 13 papers between 2019 and 2025.

Collaborative distances:

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

2025

SynCoGen: Synthesizable 3D Molecule Generation via Joint Reaction and Coordinate Modeling.

Andrei Rekesh, Miruna T. Cretu, Dmytro Shevchuk, Vignesh Ram Somnath, Pietro Liò, Robert A. Batey, Mike Tyers, Michal Koziarski, Cheng-Hao Liu

CoRR, July, 2025

Composing Unbalanced Flows for Flexible Docking and Relaxation.

Gabriele Corso, Vignesh Ram Somnath, Noah Getz, Regina Barzilay, Tommi S. Jaakkola, Andreas Krause

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

3DReact: Geometric Deep Learning for Chemical Reactions.

Puck van Gerwen, Ksenia R. Briling, Charlotte Bunne, Vignesh Ram Somnath, Rubén Laplaza, Andreas Krause, Clémence Corminboeuf

J. Chem. Inf. Model., 2024

2023

EquiReact: An equivariant neural network for chemical reactions.

Puck van Gerwen, Ksenia R. Briling, Charlotte Bunne, Vignesh Ram Somnath, Rubén Laplaza, Andreas Krause, Clémence Corminboeuf

CoRR, 2023

DockGame: Cooperative Games for Multimeric Rigid Protein Docking.

Vignesh Ram Somnath, Pier Giuseppe Sessa, María Rodríguez Martínez, Andreas Krause

CoRR, 2023

Aligned Diffusion Schrödinger Bridges.

Vignesh Ram Somnath, Matteo Pariset, Ya-Ping Hsieh, María Rodríguez Martínez, Andreas Krause, Charlotte Bunne

Proceedings of the Uncertainty in Artificial Intelligence, 2023

BaCaDI: Bayesian Causal Discovery with Unknown Interventions.

Alexander Hägele, Jonas Rothfuss, Lars Lorch, Vignesh Ram Somnath, Bernhard Schölkopf, Andreas Krause

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Isotropic Gaussian Processes on Finite Spaces of Graphs.

Viacheslav Borovitskiy, Mohammad Reza Karimi, Vignesh Ram Somnath, Andreas Krause

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2021

Mixture-of-Experts Variational Autoencoder for clustering and generating from similarity-based representations on single cell data.

Andreas Kopf, Vincent Fortuin, Vignesh Ram Somnath, Manfred Claassen

PLoS Comput. Biol., 2021

Multi-Scale Representation Learning on Proteins.

Vignesh Ram Somnath, Charlotte Bunne, Andreas Krause

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

Learning Graph Models for Retrosynthesis Prediction.

Vignesh Ram Somnath, Charlotte Bunne, Connor W. Coley, Andreas Krause, Regina Barzilay

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

2020

Learning Graph Models for Template-Free Retrosynthesis.

Vignesh Ram Somnath, Charlotte Bunne, Connor W. Coley, Andreas Krause, Regina Barzilay

CoRR, 2020

2019

Mixture-of-Experts Variational Autoencoder for clustering and generating from similarity-based representations.

Andreas Kopf, Vincent Fortuin, Vignesh Ram Somnath, Manfred Claassen

CoRR, 2019