Jonas Köhler - Google Scholar Citations

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20162017201820193 9 73 139

Taco CohenPhD Student, University of AmsterdamVerified email at uva.nl
Max WellingProfessor Machine Learning, University of AmsterdamVerified email at uva.nl
Noe FrankFU Berlin, GermanyVerified email at fu-berlin.de
Khalid Al-KhatibBauhaus-Universität WeimarVerified email at uni-weimar.de
Mario GeigerÉcole polytechnique fédérale de LausanneVerified email at epfl.ch
Simon OlssonPostdoc, Freie Universität BerlinVerified email at fu-berlin.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	164*	2018
Cross-Domain Mining of Argumentative Text through Distant Supervision K Al-Khatib, H Wachsmuth, M Hagen, J Köhler, B Stein NAACL-HLT, 2016	26	2016
Convolutional Networks for Spherical Signals T Cohen, M Geiger, J Köhler, M Welling ICML workshop on Principled Approaches to Deep Learning (PADL), 2017	24	2017
Boltzmann generators-sampling equilibrium states of many-body systems with deep learning F Noé, S Olsson, J Köhler, H Wu Science 365 (6457), 2019	12	2019
Equivariant Flows: sampling configurations for multi-body systems with symmetric energies J Köhler, L Klein, F Noé arXiv preprint arXiv:1910.00753, 2019		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, 2018		2018

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