Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDEdouard Oyallon
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2022
[i22]Irene Tenison, Sai Aravind Sreeramadas, Vaikkunth Mugunthan, Edouard Oyallon, Eugene Belilovsky, Irina Rish:
Gradient Masked Averaging for Federated Learning. CoRR abs/2201.11986 (2022)- [i21]Grégoire Sergeant-Perthuis, Jakob Maier, Joan Bruna, Edouard Oyallon:
On Non-Linear operators for Geometric Deep Learning. CoRR abs/2207.03485 (2022) - [i20]Léo Grinsztajn, Edouard Oyallon, Gaël Varoquaux:
Why do tree-based models still outperform deep learning on tabular data? CoRR abs/2207.08815 (2022) - [i19]Adel Nabli, Edouard Oyallon:
DADAO: Decoupled Accelerated Decentralized Asynchronous Optimization for Time-Varying Gossips. CoRR abs/2208.00779 (2022) - 2021
- [c13]Louis Thiry, Michael Arbel, Eugene Belilovsky, Edouard Oyallon:
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods. ICLR 2021 - [c12]Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou:
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. MLMI@MICCAI 2021: 317-326 - [i18]Louis Thiry, Michael Arbel, Eugene Belilovsky, Edouard Oyallon:
The Unreasonable Effectiveness of Patches in Deep Convolutional Kernels Methods. CoRR abs/2101.07528 (2021) - [i17]Nathan Grinsztajn, Louis Leconte, Philippe Preux, Edouard Oyallon:
Interferometric Graph Transform for Community Labeling. CoRR abs/2106.05875 (2021) - [i16]Eugene Belilovsky, Louis Leconte, Lucas Caccia, Michael Eickenberg, Edouard Oyallon:
Decoupled Greedy Learning of CNNs for Synchronous and Asynchronous Distributed Learning. CoRR abs/2106.06401 (2021) - [i15]Nathan Grinsztajn, Philippe Preux, Edouard Oyallon:
Low-Rank Projections of GCNs Laplacian. CoRR abs/2106.07360 (2021) - [i14]Othmane Laousy, Guillaume Chassagnon, Edouard Oyallon, Nikos Paragios, Marie-Pierre Revel, Maria Vakalopoulou:
Deep Reinforcement Learning for L3 Slice Localization in Sarcopenia Assessment. CoRR abs/2107.12800 (2021) - 2020
- [j3]Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim Andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen, Muawiz Chaudhary, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine-Emanuele Cella, Michael Eickenberg:
Kymatio: Scattering Transforms in Python. J. Mach. Learn. Res. 21: 60:1-60:6 (2020) - [c11]Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon:
Decoupled Greedy Learning of CNNs. ICML 2020: 736-745 - [c10]Edouard Oyallon:
Interferometric Graph Transform: a Deep Unsupervised Graph Representation. ICML 2020: 7434-7444 - [i13]Edouard Oyallon:
Interferometric Graph Transform: a Deep Unsupervised Graph Representation. CoRR abs/2006.05722 (2020)
2010 – 2019
- 2019
- [j2]Edouard Oyallon
, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky:
Scattering Networks for Hybrid Representation Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41(9): 2208-2221 (2019) - [c9]Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon:
Greedy Layerwise Learning Can Scale To ImageNet. ICML 2019: 583-593 - [c8]Lénaïc Chizat, Edouard Oyallon, Francis R. Bach:
On Lazy Training in Differentiable Programming. NeurIPS 2019: 2933-2943 - [i12]Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon:
Decoupled Greedy Learning of CNNs. CoRR abs/1901.08164 (2019) - 2018
- [c7]Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko, Michal Valko:
Compressing the Input for CNNs with the First-Order Scattering Transform. ECCV (9) 2018: 305-320 - [c6]Jörn-Henrik Jacobsen, Arnold W. M. Smeulders, Edouard Oyallon:
i-RevNet: Deep Invertible Networks. ICLR (Poster) 2018 - [c5]Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach:
Nonlinear Acceleration of CNNs. ICLR (Workshop) 2018 - [i11]Jörn-Henrik Jacobsen, Arnold W. M. Smeulders, Edouard Oyallon:
i-RevNet: Deep Invertible Networks. CoRR abs/1802.07088 (2018) - [i10]Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach:
Nonlinear Acceleration of Deep Neural Networks. CoRR abs/1805.09639 (2018) - [i9]Damien Scieur, Edouard Oyallon, Alexandre d'Aspremont, Francis R. Bach:
Nonlinear Acceleration of CNNs. CoRR abs/1806.00370 (2018) - [i8]Edouard Oyallon, Sergey Zagoruyko, Gabriel Huang, Nikos Komodakis, Simon Lacoste-Julien, Matthew B. Blaschko, Eugene Belilovsky:
Scattering Networks for Hybrid Representation Learning. CoRR abs/1809.06367 (2018) - [i7]Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko, Michal Valko:
Compressing the Input for CNNs with the First-Order Scattering Transform. CoRR abs/1809.10200 (2018) - [i6]Mathieu Andreux, Tomás Angles, Georgios Exarchakis, Roberto Leonarduzzi, Gaspar Rochette, Louis Thiry, John Zarka, Stéphane Mallat, Joakim Andén, Eugene Belilovsky, Joan Bruna, Vincent Lostanlen, Matthew J. Hirn, Edouard Oyallon, Sixin Zhang, Carmine-Emanuele Cella, Michael Eickenberg:
Kymatio: Scattering Transforms in Python. CoRR abs/1812.11214 (2018) - [i5]Eugene Belilovsky, Michael Eickenberg, Edouard Oyallon:
Greedy Layerwise Learning Can Scale to ImageNet. CoRR abs/1812.11446 (2018) - 2017
- [b1]Edouard Oyallon:
Analyzing and Introducing Structures in Deep Convolutional Neural Networks. (Analyse et structuration des réseaux de neurones convolutifs profonds). PSL Research University, Paris, France, 2017 - [c4]Edouard Oyallon:
Building a Regular Decision Boundary with Deep Networks. CVPR 2017: 1886-1894 - [c3]Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko:
Scaling the Scattering Transform: Deep Hybrid Networks. ICCV 2017: 5619-5628 - [i4]Edouard Oyallon:
Building a Regular Decision Boundary with Deep Networks. CoRR abs/1703.01775 (2017) - [i3]Jörn-Henrik Jacobsen, Edouard Oyallon, Stéphane Mallat, Arnold W. M. Smeulders:
Multiscale Hierarchical Convolutional Networks. CoRR abs/1703.04140 (2017) - [i2]Edouard Oyallon, Eugene Belilovsky, Sergey Zagoruyko:
Scaling the Scattering Transform: Deep Hybrid Networks. CoRR abs/1703.08961 (2017) - 2015
- [j1]Edouard Oyallon, Julien Rabin:
An Analysis of the SURF Method. Image Process. Line 5: 176-218 (2015) - [c2]Edouard Oyallon, Stéphane Mallat:
Deep roto-translation scattering for object classification. CVPR 2015: 2865-2873 - 2014
- [c1]Edouard Oyallon, Stéphane Mallat, Laurent Sifre:
Generic Deep Networks with Wavelet Scattering. ICLR (Workshop Poster) 2014 - [i1]Edouard Oyallon, Stéphane Mallat:
Deep Roto-Translation Scattering for Object Classification. CoRR abs/1412.8659 (2014)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
load content from web.archive.org
Privacy notice: By enabling the option above, your browser will contact the API of web.archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2023-03-26 00:09 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
