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• Relevance of Rotationally Equivariant Convolutions for Predicting Molecular Properties
  2020 · 46 citations
• SE(3)-equivariant prediction of molecular wavefunctions and electronic densities
  2021 · 23 citations
• BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery
  2024 · 11 citations
• Cracking the Quantum Scaling Limit with Machine Learned Electron Densities
  2022 · 5 citations
• Symphony: Symmetry-Equivariant Point-Centered Spherical Harmonics for 3D Molecule Generation
  2023 · 4 citations
• Proteina: Scaling Flow-based Protein Structure Generative Models
  2025 · 3 citations
• A General Framework for Equivariant Neural Networks on Reductive Lie Groups
  2023 · 2 citations
• Ophiuchus: Scalable Modeling of Protein Structures through Hierarchical Coarse-graining SO(3)-Equivariant Autoencoders
  2023 · 2 citations
• Efficient Molecular Conformer Generation with SO(3)-Averaged Flow Matching and Reflow
  2025
• Optimizing Data Distribution and Kernel Performance for Efficient Training of Chemistry Foundation Models: A Case Study with MACE
  2025
• EquiJump: Protein Dynamics Simulation via SO(3)-Equivariant Stochastic Interpolants
  2024