ML Anthology

Verma, Yogesh

13 publications

ICLR 2025 E(3)-Equivariant Models Cannot Learn Chirality: Field-Based Molecular Generation Alexandru Dumitrescu, Dani Korpela, Markus Heinonen, Yogesh Verma, Valerii Iakovlev, Vikas Garg, Harri Lähdesmäki
ICML 2025 Positional Encoding Meets Persistent Homology on Graphs Yogesh Verma, Amauri H Souza, Vikas K Garg
ICLR 2025 Robust Simulation-Based Inference Under Missing Data via Neural Processes Yogesh Verma, Ayush Bharti, Vikas Garg
ICLR 2024 ClimODE: Climate and Weather Forecasting with Physics-Informed Neural ODEs Yogesh Verma, Markus Heinonen, Vikas Garg
NeurIPS 2024 Diffusion Twigs with Loop Guidance for Conditional Graph Generation Giangiacomo Mercatali, Yogesh Verma, Andre Freitas, Vikas Garg
ICMLW 2024 Topological Neural Networks Go Persistent, Equivariant and Continuous Yogesh Verma, Amauri H Souza, Vikas Garg
ICML 2024 Topological Neural Networks Go Persistent, Equivariant, and Continuous Yogesh Verma, Amauri H Souza, Vikas Garg
ICML 2023 AbODE: Ab Initio Antibody Design Using Conjoined ODEs Yogesh Verma, Markus Heinonen, Vikas Garg
ICMLW 2023 AbODE: Ab Initio Antibody Design Using Conjoined ODEs Yogesh Verma, Markus Heinonen, Vikas Garg
ICMLW 2023 AbODE: Ab Initio Antibody Design Using Conjoined ODEs Yogesh Verma, Markus Heinonen, Vikas Garg
NeurIPS 2022 Modular Flows: Differential Molecular Generation Yogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg
NeurIPSW 2022 Modular Flows: Differential Molecular Generation Yogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg
NeurIPSW 2022 Modular Flows: Differential Molecular Generation Yogesh Verma, Samuel Kaski, Markus Heinonen, Vikas Garg