Jonas Köhler - Google Scholar Citations

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201620172018201920203 9 78 202 27

Taco CohenPhD Student, University of AmsterdamVerified email at uva.nl
Max WellingProfessor Machine Learning, University of AmsterdamVerified email at uva.nl
Mario GeigerÉcole polytechnique fédérale de LausanneVerified email at epfl.ch
Noe FrankFU Berlin, GermanyVerified email at fu-berlin.de
Simon OlssonPostdoc, Freie Universität BerlinVerified email at fu-berlin.de
Khalid Al-KhatibBauhaus-Universität WeimarVerified email at uni-weimar.de
Frederik HarderMax Planck Institute for Intelligent Systems & University of Tübingen & International Max Planck Research School for Intelligent Systems (IMPRS-IS)Verified email at tuebingen.mpg.de
Mijung ParkMax Planck Institute for Intelligent Systems

Jonas Köhler

Verified email at fu-berlin.de - Homepage


Title	Cited by	Year
Spherical CNNs TS Cohen, M Geiger, J Köhler, M Welling International Conference on Learning Representations (ICLR), 2018	219*	2018
Boltzmann generators-sampling equilibrium states of many-body systems with deep learning F Noé, S Olsson, J Köhler, H Wu Science 365 (6457), 2019	37	2019
Convolutional Networks for Spherical Signals T Cohen, M Geiger, J Köhler, M Welling ICML workshop on Principled Approaches to Deep Learning (PADL), 2017	31	2017
Cross-Domain Mining of Argumentative Text through Distant Supervision K Al-Khatib, H Wachsmuth, M Hagen, J Köhler, B Stein NAACL-HLT, 2016	31	2016
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	3	2019
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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