Sixin Zhang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 22

Top Topics

Top Venues

IEEE Signal Process. Lett.

IEEE Trans. Signal Process.

Publications

Hai-Vy Nguyen, Fabrice Gamboa, Reda Chhaibi, Sixin Zhang, Serge Gratton, Thierry Giaccone
Combining Statistical Depth and Fermat Distance for Uncertainty Quantification. CoRR (2024)
Sixin Zhang
Local convergence of min-max algorithms to differentiable equilibrium on Riemannian manifold. CoRR (2024)
Hai-Vy Nguyen, Fabrice Gamboa, Sixin Zhang, Reda Chhaibi, Serge Gratton, Thierry Giaccone
Large Margin Discriminative Loss for Classification. CoRR (2024)
Justin Reverdi, Sixin Zhang, Saïd Aoues, Fabrice Gamboa, Serge Gratton, Thomas Pellegrini
CNN-based Compressor Mass Flow Estimator in Industrial Aircraft Vapor Cycle System. CoRR (2024)
Sixin Zhang, Emmanuel Soubies, Cédric Févotte
Leveraging Joint-Diagonalization in Transform-Learning NMF. IEEE Trans. Signal Process. 70 (2022)
Sixin Zhang
On the Nash equilibrium of moment-matching GANs for stationary Gaussian processes. CoRR (2022)
Antoine Brochard, Bartlomiej Blaszczyszyn, Sixin Zhang, Stéphane Mallat
Particle gradient descent model for point process generation. Stat. Comput. 32 (3) (2022)
Antoine Brochard, Sixin Zhang, Stéphane Mallat
Generalized Rectifier Wavelet Covariance Models For Texture Synthesis. CoRR (2022)
Sixin Zhang
On the Nash equilibrium of moment-matching GANs for stationary Gaussian processes. MSML (2022)
Antoine Brochard, Sixin Zhang, Stéphane Mallat
Generalized rectifier wavelet covariance models for texture synthesis. ICLR (2022)
Sixin Zhang, Emmanuel Soubies, Cédric Févotte
On the Relationships between Transform-Learning NMF and Joint-Diagonalization. CoRR (2021)
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 (2020)
Sixin Zhang, Emmanuel Soubies, Cédric Févotte
On the Identifiability of Transform Learning for Non-Negative Matrix Factorization. IEEE Signal Process. Lett. 27 (2020)
Antoine Brochard, Bartlomiej Blaszczyszyn, Stéphane Mallat, Sixin Zhang
Particle gradient descent model for point process generation. CoRR (2020)
Antoine Brochard, Bartlomiej Blaszczyszyn, Stéphane Mallat, Sixin Zhang
Statistical learning of geometric characteristics of wireless networks. INFOCOM (2019)
Sixin Zhang, Stéphane Mallat
Maximum Entropy Models from Phase Harmonic Covariances. CoRR (2019)
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 (2018)
Antoine Brochard, Bartlomiej Blaszczyszyn, Stéphane Mallat, Sixin Zhang
Statistical learning of geometric characteristics of wireless networks. CoRR (2018)
Stéphane Mallat, Sixin Zhang, Gaspar Rochette
Phase Harmonics and Correlation Invariants in Convolutional Neural Networks. CoRR (2018)
Sixin Zhang
Distributed stochastic optimization for deep learning (thesis). CoRR (2016)
Sixin Zhang, Anna Choromanska, Yann LeCun
Deep learning with Elastic Averaging SGD. NIPS (2015)
Sixin Zhang, Anna Choromanska, Yann LeCun
Deep learning with Elastic Averaging SGD. ICLR (Workshop) (2015)
Li Wan, Matthew D. Zeiler, Sixin Zhang, Yann LeCun, Rob Fergus
Regularization of Neural Networks using DropConnect. ICML (3) (2013)
Tom Schaul, Sixin Zhang, Yann LeCun
No more pesky learning rates. ICML (3) (2013)
Tom Schaul, Sixin Zhang, Yann LeCun
No More Pesky Learning Rates CoRR (2012)