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Sixin Zhang
Sixin Zhang
Université de Toulouse et IRIT
Verified email at irit.fr - Homepage
Title
Cited by
Cited by
Year
Regularization of neural networks using dropconnect
L Wan, M Zeiler, S Zhang, Y Le Cun, R Fergus
International conference on machine learning, 1058-1066, 2013
32022013
Deep learning with elastic averaging SGD
S Zhang, AE Choromanska, Y LeCun
Advances in neural information processing systems 28, 2015
7062015
No more pesky learning rates
T Schaul, S Zhang, Y LeCun
International conference on machine learning, 343-351, 2013
5492013
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
1522020
The RWST, a comprehensive statistical description of the non-Gaussian structures in the ISM
E Allys, F Levrier, S Zhang, C Colling, B Regaldo-Saint Blancard, ...
Astronomy & Astrophysics 629, A115, 2019
542019
Phase harmonic correlations and convolutional neural networks
S Mallat, S Zhang, G Rochette
Information and Inference: A Journal of the IMA 9 (3), 721-747, 2020
47*2020
Maximum entropy models from phase harmonic covariances
S Zhang, S Mallat
Applied and Computational Harmonic Analysis 53, 199-230, 2021
342021
Generative Models of Multichannel Data from a Single Example—Application to Dust Emission
B Régaldo-Saint Blancard, E Allys, C Auclair, F Boulanger, M Eickenberg, ...
The Astrophysical Journal 943 (1), 9, 2023
102023
Generalized rectifier wavelet covariance models for texture synthesis
A Brochard, S Zhang, S Mallat
ICLR, 2022
62022
Statistical learning of geometric characteristics of wireless networks
A Brochard, B Błaszczyszyn, S Mallat, S Zhang
IEEE INFOCOM 2019-IEEE Conference on Computer Communications, 2224-2232, 2019
52019
Particle gradient descent model for point process generation
2022 A Brochard, B Błaszczyszyn, S Zhang, S Mallat - Statistics and Computing
Statistics and Computing, 2022
32022
Data assimilation networks
P Boudier, A Fillion, S Gratton, S Gürol, S Zhang
Journal of Advances in Modeling Earth Systems 15 (4), e2022MS003353, 2023
22023
On the Identifiability of Transform Learning for Non-negative Matrix Factorization
S Zhang, E Soubies, C Févotte
IEEE Signal Processing Letters 27, 1555-1559, 2020
22020
On the Nash equilibrium of moment-matching GANs for stationary Gaussian processes
S Zhang
Mathematical and Scientific Machine Learning (MSML 2022), 2022
12022
Leveraging Joint-Diagonalization in Transform-Learning NMF
S Zhang, E Soubies, C Févotte
IEEE Transactions on Signal Processing, 2022
12022
Deep learning with elastic averaging SGD: 3rd International Conference on Learning Representations, ICLR 2015
S Zhang, A Choromanska, Y LeCun
3rd International Conference on Learning Representations, ICLR 2015, 2015
12015
Wavelet Phase Harmonics
S Mallat, G Rochette, S Zhang
Theoretical Physics, Wavelets, Analysis, Genomics: An Indisciplinary Tribute …, 2022
2022
Scattering transforms for interstellar astrophysics and beyond
F Levrier, E Allys, B Régaldo-Saint Blancard, F Boulanger, N Jeffrey, ...
SF2A-2021: Proceedings of the Annual meeting of the French Society of …, 2021
2021
Data Assimilation Networks
P Boudier, A Fillion, S Gratton, S Gürol, S Zhang
arXiv preprint arXiv:2010.09694, 2020
2020
DECOUPLING THE DATA GEOMETRY FROM THE PARAMETER GEOMETRY FOR STOCHASTIC GRADIENTS
TOM SCHAUL, S ZHANG, Y LECUN
Snowbird Workshop, 0
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