Leon Klein

16 papers A* 5Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Boltzmann Generators for Condensed Matter via Riemannian Flow Matching.
CoRR
Emil Hoffmann, Maximilian Schebek, Leon Klein, Frank Noé, Jutta Rogal
2025 J jnl
Amortized Sampling with Transferable Normalizing Flows.
CoRR
Charlie B. Tan, Majdi Hassan, Leon Klein, Saifuddin Syed, Dominique Beaini, Michael M. Bronstein, Alexander Tong, Kirill Neklyudov
2025 J jnl
Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models.
CoRR
Michael Plainer, Hao Wu, Leon Klein, Stephan Günnemann, Frank Noé
2025 J jnl
Operator Forces For Coarse-Grained Molecular Dynamics.
CoRR
Leon Klein, Atharva Kelkar, Aleksander Durumeric, Yaoyi Chen, Frank Noé
2025 J jnl
Path Gradients after Flow Matching.
CoRR
Lorenz Vaitl, Leon Klein
2025 A* conf
Scalable Equilibrium Sampling with Sequential Boltzmann Generators.
ICML
Charlie B. Tan, Joey Bose, Chen Lin, Leon Klein, Michael M. Bronstein, Alexander Tong
2025 J jnl
Scalable Equilibrium Sampling with Sequential Boltzmann Generators.
CoRR
Charlie B. Tan, Avishek Joey Bose, Chen Lin, Leon Klein, Michael M. Bronstein, Alexander Tong
2024 A* conf
Transferable Boltzmann Generators.
NeurIPS
Leon Klein, Frank Noé
2024 J jnl
Transferable Boltzmann Generators.
CoRR
Leon Klein, Frank Noé
2023 A* conf
Equivariant flow matching.
NeurIPS
Leon Klein, Andreas Krämer, Frank Noé
2023 J jnl
Equivariant flow matching.
CoRR
Leon Klein, Andreas Krämer, Frank Noé
2023 A* conf
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics.
NeurIPS
Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka
2023 J jnl
Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics.
CoRR
Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka
2020 A* conf
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities.
ICML
Jonas Köhler, Leon Klein, Frank Noé
2020 J jnl
Equivariant Flows: exact likelihood generative learning for symmetric densities.
CoRR
Jonas Köhler, Leon Klein, Frank Noé
2019 J jnl
Equivariant Flows: sampling configurations for multi-body systems with symmetric energies.
CoRR
Jonas Köhler, Leon Klein, Frank Noé