Leon Klein 个人学术档案 - 学术资源搜索

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Noe FrankMicrosoft Research在 microsoft.com 的电子邮件经过验证
Jonas KöhlerMicrosoft Research AI4Science在 microsoft.com 的电子邮件经过验证
Andreas KrämerD. E. Shaw Research在 DEShawResearch.com 的电子邮件经过验证
Ryota TomiokaMicrosoft Research Cambridge在 microsoft.com 的电子邮件经过验证
Bruno Kacper MlodozeniecUniversity of Cambridge在 cam.ac.uk 的电子邮件经过验证
Tor Erlend FjeldeUniversity of Cambridge在 cam.ac.uk 的电子邮件经过验证
Sebastian NowozinGoogle DeepMind在 deepmind.com 的电子邮件经过验证
Andrew Y. K. FoongSenior Researcher, Microsoft Research在 microsoft.com 的电子邮件经过验证
Marc BrockschmidtResearch Scientist, Google DeepMind在 google.com 的电子邮件经过验证

Leon Klein

在 fu-berlin.de 的电子邮件经过验证


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Equivariant flows: exact likelihood generative learning for symmetric densities J Köhler, L Klein, F Noé International conference on machine learning, 5361-5370, 2020	209	2020
Equivariant flows: sampling configurations for multi-body systems with symmetric energies J Köhler, L Klein, F Noé arXiv preprint arXiv:1910.00753, 2019	73	2019
Temperature steerable flows and Boltzmann generators M Dibak, L Klein, A Krämer, F Noé Physical Review Research 4 (4), L042005, 2022	28	2022
Equivariant flow matching L Klein, A Krämer, F Noé Advances in Neural Information Processing Systems 36, 2024	24	2024
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	22	2023
Temperature-steerable flows M Dibak, L Klein, F Noé arXiv preprint arXiv:2012.00429, 2020	9	2020
International Conference on Machine Learning J Köhler, L Klein, F Noé PMLR, 2020	3	2020
Transferable Boltzmann Generators L Klein, F Noé arXiv preprint arXiv:2406.14426, 2024	1	2024
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

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