Leon Klein

According to our database, Leon Klein authored at least 9 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Operator Forces For Coarse-Grained Molecular Dynamics.

Leon Klein, Atharva Kelkar, Aleksander Durumeric, Yaoyi Chen, Frank Noé

CoRR, June, 2025

Consistent Sampling and Simulation: Molecular Dynamics with Energy-Based Diffusion Models.

Michael Plainer, Hao Wu, Leon Klein, Stephan Günnemann, Frank Noé

CoRR, June, 2025

Path Gradients after Flow Matching.

Lorenz Vaitl, Leon Klein

CoRR, May, 2025

Scalable Equilibrium Sampling with Sequential Boltzmann Generators.

Charlie B. Tan, Avishek Joey Bose, Chen Lin, Leon Klein, Michael M. Bronstein, Alexander Tong

CoRR, February, 2025

2024

Transferable Boltzmann Generators.

Leon Klein, Frank Noé

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Equivariant flow matching.

Leon Klein, Andreas Krämer, Frank Noé

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics.

Leon Klein, Andrew Y. K. Foong, Tor Erlend Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noé, Ryota Tomioka

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2020

Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities.

Jonas Köhler, Leon Klein, Frank Noé

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Equivariant Flows: sampling configurations for multi-body systems with symmetric energies.

Jonas Köhler, Leon Klein, Frank Noé

CoRR, 2019