Yogesh Verma
8 papers · 2022–2025 · 3 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(14)
🐣
Hot Topic Early Bird
👑
Triple Crown
Venues
Top co-authors
Research topics
Deep Learning
(7)
Machine Learning
(5)
Core Methods
(5)
Architectures
(4)
Models
(4)
Artificial Intelligence
(3)
Core AI
(2)
Interdisciplinary
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Learning Types · Machine Learning
(1)
Optimization
(1)
Optimization & Theory
(1)
Keywords
graph neural network
(4)
graph generation
(2)
persistent homology
(2)
molecular generation
(2)
message passing
(1)
protein design
(1)
expressivity
(1)
molecular geometry
(1)
amortized inference
(1)
missing data imputation
(1)
normalizing flow
(1)
simulation-based inference
(1)
positional encoding
(1)
molecular design
(1)
weather forecasting
(1)
antibody design
(1)
3d point cloud
(1)
score-based diffusion
(1)
continuous normalizing flow
(1)
neural posterior estimation
(1)
Papers
E(3)-equivariant models cannot learn chirality: Field-based molecular generation
ICLR 2025
Positional Encoding meets Persistent Homology on Graphs
ICML 2025
Robust Simulation-Based Inference under Missing Data via Neural Processes
ICLR 2025
ClimODE: Climate and Weather Forecasting with Physics-informed Neural ODEs
ICLR 2024
Diffusion Twigs with Loop Guidance for Conditional Graph Generation
NeurIPS 2024
Topological Neural Networks go Persistent, Equivariant, and Continuous
ICML 2024
AbODE: Ab initio antibody design using conjoined ODEs
ICML 2023
Modular Flows: Differential Molecular Generation
NeurIPS 2022