Zhang, Sixin

10 publications

TMLR 2026 Training More Robust Classification Model via Discriminative Loss and Gaussian Noise Injection Hai-Vy Nguyen, Fabrice Gamboa, Sixin Zhang, Reda Chhaibi, Serge Gratton, Thierry Giaccone

ICLRW 2025 Follow Hamiltonian Leader: An Efficient Energy-Guided Sampling Method Yunfei Teng, Sixin Zhang, Yao Li, Kai Chen, Di He, Qiwei Ye

ICLR 2025 Local Convergence of Simultaneous Min-Max Algorithms to Differential Equilibrium on Riemannian Manifold Sixin Zhang

NeurIPS 2024 Combining Statistical Depth and Fermat Distance for Uncertainty Quantification Hai-Vy Nguyen, Fabrice Gamboa, Reda Chhaibi, Sixin Zhang, Serge Gratton, Thierry Giaccone

ICLR 2022 Generalized Rectifier Wavelet Covariance Models for Texture Synthesis Antoine Brochard, Sixin Zhang, Stéphane Mallat

MLOSS 2020 Kymatio: Scattering Transforms in Python 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 Cella, Michael Eickenberg

NeurIPS 2015 Deep Learning with Elastic Averaging SGD Sixin Zhang, Anna E Choromanska, Yann LeCun

ICLR 2015 Deep Learning with Elastic Averaging SGD Sixin Zhang, Anna Choromanska, Yann LeCun

ICML 2013 No More Pesky Learning Rates Tom Schaul, Sixin Zhang, Yann LeCun

ICML 2013 Regularization of Neural Networks Using DropConnect Li Wan, Matthew Zeiler, Sixin Zhang, Yann Le Cun, Rob Fergus