Jonas Köhler

According to our database, Jonas Köhler authored at least 15 papers between 2016 and 2025.

Collaborative distances:

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

2025

An ab initio foundation model of wavefunctions that accurately describes chemical bond breaking.

Adam Foster, Zeno Schätzle, P. Bernát Szabó, Lixue Cheng, Jonas Köhler, Gino Cassella, Nicholas Gao, Jiawei Li, Frank Noé, Jan Hermann

CoRR, June, 2025

2024

Highly Accurate Real-space Electron Densities with Neural Networks.

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

CoRR, 2024

2023

Rigid Body Flows for Sampling Molecular Crystal Structures.

Jonas Köhler, Michele Invernizzi, Pim de Haan, Frank Noé

Proceedings of the International Conference on Machine Learning, 2023

2022

Generating stable molecules using imitation and reinforcement learning.

Søren Ager Meldgaard, Jonas Köhler, Henrik Lund Mortensen, Mads-Peter V. Christiansen, Frank Noé, Bjørk Hammer

Mach. Learn. Sci. Technol., 2022

Force-matching Coarse-Graining without Forces.

Jonas Köhler, Yaoyi Chen, Andreas Krämer, Cecilia Clementi, Frank Noé

CoRR, 2022

2021

Smooth Normalizing Flows.

Jonas Köhler, Andreas Krämer, Frank Noé

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Training Neural Networks with Property-Preserving Parameter Perturbations.

Andreas Krämer, Jonas Köhler, Frank Noé

CoRR, 2020

Stochastic Normalizing Flows.

Hao Wu, Jonas Köhler, Frank Noé

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 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

DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning.

Frederik Harder, Jonas Köhler, Max Welling, Mijung Park

CoRR, 2019

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

Jonas Köhler, Leon Klein, Frank Noé

CoRR, 2019

2018

Spherical CNNs.

Taco S. Cohen, Mario Geiger, Jonas Köhler, Max Welling

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Convolutional Networks for Spherical Signals.

Taco Cohen, Mario Geiger, Jonas Köhler, Max Welling

CoRR, 2017

2016

Webis-Debate-16.

Khalid Al Khatib, Henning Wachsmuth, Matthias Hagen, Benno Stein, Jonas Köhler

Dataset, January, 2016

Cross-Domain Mining of Argumentative Text through Distant Supervision.

Khalid Al Khatib, Henning Wachsmuth, Matthias Hagen, Jonas Köhler, Benno Stein

Proceedings of the NAACL HLT 2016, 2016