Georgios Exarchakis - Google Scholar

Cited by

	All	Since 2015
Citations	134	128
h-index	6	6
i10-index	6	5

201320142015201620172018201920201 5 2 7 13 27 38 40

Co-authors

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 DaiSpotifyVerified email at spotify.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
Carmine Emanuele CellaUniversity of California, BerkeleyVerified email at berkeley.edu
Joakim AndénKTH Royal Institute of TechnologyVerified email at kth.se
Roland MemisevicTwenty Billion Neurons, University of MontrealVerified email at twentybn.com
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 Sort by citations Sort by year Sort by title	Cited by 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	41	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	32	2017
Kymatio: Scattering Transforms in Python. M Andreux, T Angles, G Exarchakis, R Leonarduzzi, G Rochette, L Thiry, ... Journal of Machine Learning Research 21 (60), 1-6, 2020	15	2020
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	15	2013
Ternary sparse coding G Exarchakis, M Henniges, J Eggert, J Lücke International Conference on Latent Variable Analysis and Signal Separation …, 2012	13	2012
Learning invariant features by harnessing the aperture problem R Memisevic, G Exarchakis International Conference on Machine Learning, 100-108, 2013	11	2013
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	2	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

The system can't perform the operation now. Try again later.

Articles 1–12

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Upload PDF

Follow this author

Cited by

Co-authors