フォロー
Leon Klein
タイトル
引用先
引用先
年
Equivariant flows: exact likelihood generative learning for symmetric densities
J Köhler*, L Klein*, F Noé
International conference on machine learning, 5361-5370, 2020
2702020
Equivariant flows: sampling configurations for multi-body systems with symmetric energies
J Köhler*, L Klein*, F Noé
arXiv preprint arXiv:1910.00753, 2019
882019
Equivariant flow matching
L Klein, A Krämer, F Noé
Advances in Neural Information Processing Systems 36, 59886-59910, 2023
692023
Timewarp: Transferable acceleration of molecular dynamics by learning time-coarsened dynamics
L Klein*, AYK Foong*, TE Fjelde*, B Mlodozeniec*, M Brockschmidt, ...
Advances in Neural Information Processing Systems 36, 2023
43*2023
Temperature steerable flows and Boltzmann generators
M Dibak*, L Klein*, A Krämer, F Noé
Physical Review Research 4 (4), L042005, 2022
402022
Temperature-steerable flows
M Dibak*, L Klein*, F Noé
arXiv preprint arXiv:2012.00429, 2020
92020
Transferable boltzmann generators
L Klein, F Noé
arXiv preprint arXiv:2406.14426, 2024
52024
Scalable Equilibrium Sampling with Sequential Boltzmann Generators
CB Tan, AJ Bose, C Lin, L Klein, MM Bronstein, A Tong
arXiv preprint arXiv:2502.18462, 2025
2025
Trained machine learning model for forecasting molecular conformations
LI Klein, YK Foong, TE Fjelde, BK Mlodozeniec, MMJ Brockschmidt, ...
US Patent App. 18/179,621, 2024
2024
FreeFlow: Latent Flow Matching for Free Energy Difference Estimation
E Erdogan, R Ralev, M Rebensburg, C Marquet, L Klein, H Stark
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論文 1–10