| 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 | 3445 | 2013 |
| Deep learning with elastic averaging SGD S Zhang, AE Choromanska, Y LeCun Advances in neural information processing systems 28, 2015 | 763 | 2015 |
| No more pesky learning rates T Schaul, S Zhang, Y LeCun International conference on machine learning, 343-351, 2013 | 598 | 2013 |
| 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 | 203 | 2020 |
| 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 | 71 | 2019 |
| 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 | 39 | 2021 |
| 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 | 15 | 2023 |
| Data assimilation networks P Boudier, A Fillion, S Gratton, S Gürol, S Zhang Journal of Advances in Modeling Earth Systems 15 (4), e2022MS003353, 2023 | 12 | 2023 |
| Generalized rectifier wavelet covariance models for texture synthesis A Brochard, S Zhang, S Mallat ICLR, 2022 | 10 | 2022 |
| 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 | 5 | 2019 |
| Particle gradient descent model for point process generation 2022 A Brochard, B Błaszczyszyn, S Zhang, S Mallat - Statistics and Computing Statistics and Computing, 2022 | 4 | 2022 |
| 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 | 2 | 2020 |
| 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 | 2 | 2015 |
| On the Nash equilibrium of moment-matching GANs for stationary Gaussian processes S Zhang Mathematical and Scientific Machine Learning (MSML 2022), 2022 | 1 | 2022 |
| Leveraging Joint-Diagonalization in Transform-Learning NMF S Zhang, E Soubies, C Févotte IEEE Transactions on Signal Processing, 2022 | 1 | 2022 |
| Large Margin Discriminative Loss for Classification HV Nguyen, F Gamboa, S Zhang, R Chhaibi, S Gratton, T Giaccone arXiv preprint arXiv:2405.18499, 2024 | | 2024 |
| Local convergence of simultaneous min-max algorithms to differential equilibrium on Riemannian manifold S Zhang arXiv preprint arXiv:2405.13392, 2024 | | 2024 |
| Local convergence of min-max algorithms to differentiable equilibrium on Riemannian manifold S Zhang arXiv e-prints, arXiv: 2405.13392, 2024 | | 2024 |
| Wavelet Phase Harmonics S Mallat, G Rochette, S Zhang Theoretical Physics, Wavelets, Analysis, Genomics: An Indisciplinary Tribute …, 2022 | | 2022 |