Georgios Exarchakis - Google Scholar Citations

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	All	Since 2014
Citations	83	82
h-index	5	5
i10-index	5	4

20132014201520162017201820191 2 2 7 12 27 32

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Jorg LuckeProfessor of Machine Learning, University of Oldenburg, Germany.Verified email at uni-oldenburg.de
Stephane MallatProfesseur de Mathématiques Appliquées et Informatique, École Normale SupérieureVerified email at ens.fr
Matthew HirnMichigan State UniversityVerified email at msu.edu
Michael EickenbergUC BerkeleyVerified email at berkeley.edu
Zhenwen DaiAmazon.comVerified email at amazon.com
Roland MemisevicTwenty Billion Neurons, University of MontrealVerified email at twentybn.com
Tomás AnglesPhD student, École Normale SupérieureVerified email at ens.fr
Edouard OyallonCNRS, LIP6Verified email at lip6.fr
Roberto Fabio LeonarduzziLab de Physique, Ecole Normale Superieure de LyonVerified email at ens-lyon.fr
Eugene BelilovskyPostdoctoral Fellow at University of MontrealVerified email at iro.umontreal.ca
Joan BrunaAssistant Professor, Courant Institute of Mathematical Sciences, New York UniversityVerified email at cims.nyu.edu
Vincent LostanlenNew York UniversityVerified email at nyu.edu
Jörg BornscheinDeepMindVerified email at google.com

Georgios Exarchakis

Institut de la Vision

Verified email at ens.fr - Homepage

Machine Learning Computational Neuroscience Artificial Intelligence


Title	Cited by	Year
Solid harmonic wavelet scattering for predictions of molecule properties M Eickenberg, G Exarchakis, M Hirn, S Mallat, L Thiry The Journal of chemical physics 148 (24), 241732, 2018	20	2018
Solid harmonic wavelet scattering: Predicting quantum molecular energy from invariant descriptors of 3d electronic densities M Eickenberg, G Exarchakis, M Hirn, S Mallat Advances in Neural Information Processing Systems, 6540-6549, 2017	20	2017
What are the invariant occlusive components of image patches? A probabilistic generative approach Z Dai, G Exarchakis, J Lücke Advances in neural information processing systems, 243-251, 2013	12	2013
Learning invariant features by harnessing the aperture problem R Memisevic, G Exarchakis International Conference on Machine Learning, 100-108, 2013	10	2013
Ternary sparse coding G Exarchakis, M Henniges, J Eggert, J Lücke International Conference on Latent Variable Analysis and Signal Separation …, 2012	10	2012
Kymatio: Scattering Transforms in Python M Andreux, T Angles, G Exarchakis, R Leonarduzzi, G Rochette, L Thiry, ... arXiv preprint arXiv:1812.11214, 2018	5	2018
Discrete sparse coding G Exarchakis, J Lücke Neural computation 29 (11), 2979-3013, 2017	5	2017
Truncated Variational Sampling for ‘Black Box’Optimization of Generative Models J Lücke, Z Dai, G Exarchakis International Conference on Latent Variable Analysis and Signal Separation …, 2018	1	2018
ProSper--A Python Library for Probabilistic Sparse Coding with Non-Standard Priors and Superpositions G Exarchakis, J Bornschein, AS Sheikh, Z Dai, M Henniges, J Drefs, ... arXiv preprint arXiv:1908.06843, 2019		2019
Probabilistic Models for Invariant Representations and Transformations G Exarchakis BIS der Universität Oldenburg, 2016		2016
Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities SM Michael Eickenberg, Georgios Exarchakis, Matthew Hirn Neural Information processing Systems, 0
Discrete Symmetric Priors for Sparse Coding G Exarchakis, M Henniges, J Lücke

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