Jonas Köhler
Title
Cited by
Cited by
Year
Spherical CNNs
TS Cohen, M Geiger, J Köhler, M Welling
International Conference on Learning Representations (ICLR), 2018
2962018
Boltzmann generators-sampling equilibrium states of many-body systems with deep learning
F Noé, S Olsson, J Köhler, H Wu
Science 365 (6457), 2019
1072019
Convolutional Networks for Spherical Signals
T Cohen, M Geiger, J Köhler, M Welling
ICML workshop on Principled Approaches to Deep Learning (PADL), 2017
412017
Cross-Domain Mining of Argumentative Text through Distant Supervision
K Al-Khatib, H Wachsmuth, M Hagen, J Köhler, B Stein
NAACL-HLT, 2016
402016
Equivariant Flows: sampling configurations for multi-body systems with symmetric energies
J Köhler, L Klein, F Noé
NeurIPS workshop on Machine Learning and the Physical Sciences, 2019
112019
Stochastic Normalizing Flows
H Wu, J Köhler, F Noé
Conference on Neural Information Processing Systems (NeurIPS), 2020
32020
Equivariant Flows: Exact Likelihood Generative Learning for Symmetric Densities
J Köhler, L Klein, F Noé
International Conference on Machine Learning (ICML), 2020
22020
Training Neural Networks with Property-Preserving Parameter Perturbations
A Krämer, J Köhler, F Noé
arXiv preprint arXiv:2010.07033, 2020
2020
Optimal lossy compression for differentially private data release
J Köhler
Informatics Institute, University of Amsterdam, 2018
2018
DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning
F Harder, J Köhler, M Welling, M Park
NeurIPS workshop on Privacy Preserving Machine Learning (PPML), 2018
2018
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Articles 1–10