Leon Klein

5 papers · 2020–2025 · 2 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

NeurIPS (3) ICML (2)

Top co-authors

Frank Noe (4) Michael M. Bronstein (1) Ryota Tomioka (1) Joey Bose (1) Charlie B. Tan (1) Andrew Foong (1) Sebastian Nowozin (1) Andreas Krämer (1) Bruno Mlodozeniec (1) CHEN LIN (1)

Research topics

Machine Learning (4) Deep Learning (3) Core Methods (3) Artificial Intelligence (2) Architectures (2) Learning Paradigms (2) Models (2) Mathematics & Optimization (1) Optimization (1) Optimization & Theory (1)

Keywords

normalizing flow (5) molecular dynamics (3) equilibrium sampling (2) equivariant neural network (2) markov chain monte carlo (1) molecular generation (1) symmetry preservation (1) boltzmann distribution (1) boltzmann generator (1) exact likelihood (1) meta-stable state (1) enhanced sampling (1) transferable algorithm (1) all-atom cartesian coordinates (1) langevin dynamics (1) annealed (1) transfer learning (1) transformer (1) flow matching (1)

Papers

Scalable Equilibrium Sampling with Sequential Boltzmann Generators ICML 2025 Transferable Boltzmann Generators NeurIPS 2024 Equivariant flow matching NeurIPS 2023 Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics NeurIPS 2023 Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities ICML 2020