Jonas Köhler - RankMe

20 papers A* 4Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking. CoRR Adam Foster, Zeno Schätzle, P. Bernát Szabó, Lixue Cheng, Jonas Köhler, Gino Cassella, Nicholas Gao, Jiawei Li, Frank Noé, Jan Hermann
2024	J	`jnl`	Highly Accurate Real-space Electron Densities with Neural Networks. CoRR Lixue Cheng, P. Bernát Szabó, Zeno Schätzle, Derk P. Kooi, Jonas Köhler, Klaas J. H. Giesbertz, Frank Noé, Jan Hermann, Paola Gori-Giorgi, Adam Foster
2023	A*	`conf`	Rigid Body Flows for Sampling Molecular Crystal Structures. ICML Jonas Köhler, Michele Invernizzi, Pim de Haan, Frank Noé
2023	J	`jnl`	Rigid body flows for sampling molecular crystal structures. CoRR Jonas Köhler, Michele Invernizzi, Pim de Haan, Frank Noé
2022	J	`jnl`	Force-matching Coarse-Graining without Forces. CoRR Jonas Köhler, Yaoyi Chen, Andreas Krämer, Cecilia Clementi, Frank Noé
2022	J	`jnl`	Generating stable molecules using imitation and reinforcement learning. Mach. Learn. Sci. Technol. Søren Ager Meldgaard, Jonas Köhler, Henrik Lund Mortensen, Mads-Peter V. Christiansen, Frank Noé, Bjørk Hammer
2021	J	`jnl`	Generating stable molecules using imitation and reinforcement learning. CoRR Søren Ager Meldgaard, Jonas Köhler, Henrik Lund Mortensen, Mads-Peter V. Christiansen, Frank Noé, Bjørk Hammer
2021	A*	`conf`	Smooth Normalizing Flows. NeurIPS Jonas Köhler, Andreas Krämer, Frank Noé
2021	J	`jnl`	Smooth Normalizing Flows. CoRR Jonas Köhler, Andreas Krämer, Frank Noé
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
2020	A*	`conf`	Stochastic Normalizing Flows. NeurIPS Hao Wu, Jonas Köhler, Frank Noé
2020	J	`jnl`	Stochastic Normalizing Flows. CoRR Hao Wu, Jonas Köhler, Frank Noé
2020	J	`jnl`	Training Neural Networks with Property-Preserving Parameter Perturbations. CoRR Andreas Krämer, Jonas Köhler, Frank Noé
2019	J	`jnl`	DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning. CoRR Frederik Harder, Jonas Köhler, Max Welling, Mijung Park
2019	J	`jnl`	Equivariant Flows: sampling configurations for multi-body systems with symmetric energies. CoRR Jonas Köhler, Leon Klein, Frank Noé
2018	—	`conf`	Spherical CNNs. ICLR Taco S. Cohen, Mario Geiger, Jonas Köhler, Max Welling
2018	J	`jnl`	Spherical CNNs. CoRR Taco S. Cohen, Mario Geiger, Jonas Köhler, Max Welling
2017	J	`jnl`	Convolutional Networks for Spherical Signals. CoRR Taco Cohen, Mario Geiger, Jonas Köhler, Max Welling
2016	—	`conf`	Cross-Domain Mining of Argumentative Text through Distant Supervision. HLT-NAACL Khalid Al Khatib, Henning Wachsmuth, Matthias Hagen, Jonas Köhler, Benno Stein