Ruoxi Jiang

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 8

Top Topics

Convolution Kernel

Dynamical Systems

Top Venues

Publications

Xiao Zhang, Ruoxi Jiang, William Gao, Rebecca Willett, Michael Maire
Residual Connections Harm Self-Supervised Abstract Feature Learning. CoRR (2024)
Elena Orlova, Aleksei Ustimenko, Ruoxi Jiang, Peter Y. Lu, Rebecca Willett
Deep Stochastic Mechanics. CoRR (2023)
Ruoxi Jiang, Peter Y. Lu, Elena Orlova, Rebecca Willett
Training neural operators to preserve invariant measures of chaotic attractors. CoRR (2023)
Ruoxi Jiang, Peter Y. Lu, Elena Orlova, Rebecca Willett
Training neural operators to preserve invariant measures of chaotic attractors. NeurIPS (2023)
Ruoxi Jiang, Rebecca Willett
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification. CoRR (2022)
Ruoxi Jiang, Rebecca Willett
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification. NeurIPS (2022)
Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert Nowak
Pure Exploration in Kernel and Neural Bandits. NeurIPS (2021)
Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert D. Nowak
Pure Exploration in Kernel and Neural Bandits. CoRR (2021)