Ruoxi Jiang

16 papers A* 5Journal 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Accelerating PDE Surrogates via RL-Guided Mesh Optimization.
CoRR
Yang Meng, Ruoxi Jiang, Zhuokai Zhao, Chong Liu, Rebecca Willett, Yuxin Chen
2026 J jnl
Project and Generate: Divergence-Free Neural Operators for Incompressible Flows.
CoRR
Xigui Li, Hongwei Zhang, Ruoxi Jiang, Deshu Chen, Chensen Lin, Limei Han, Yuan Qi, Xin Guo, Yuan Cheng
2025 J jnl
Hierarchical Implicit Neural Emulators.
CoRR
Ruoxi Jiang, Xiao Zhang, Karan Jakhar, Peter Y. Lu, Pedram Hassanzadeh, Michael Maire, Rebecca Willett
2025 A* conf
Nested Diffusion Models Using Hierarchical Latent Priors.
CVPR
Xiao Zhang, Ruoxi Jiang, Rebecca Willett, Michael Maire
2025 J jnl
Towards efficient quantum algorithms for diffusion probability models.
CoRR
Yunfei Wang, Ruoxi Jiang, Yingda Fan, Xiaowei Jia, Jens Eisert, Junyu Liu, Jin-Peng Liu
2024 A* conf
Deep Stochastic Mechanics.
ICML
Elena Orlova, Aleksei Ustimenko, Ruoxi Jiang, Peter Y. Lu, Rebecca Willett
2024 J jnl
Embed and Emulate: Contrastive representations for simulation-based inference.
CoRR
Ruoxi Jiang, Peter Y. Lu, Rebecca Willett
2024 J jnl
Nested Diffusion Models Using Hierarchical Latent Priors.
CoRR
Xiao Zhang, Ruoxi Jiang, Rebecca Willett, Michael Maire
2024 J jnl
Residual Connections Harm Self-Supervised Abstract Feature Learning.
CoRR
Xiao Zhang, Ruoxi Jiang, William Gao, Rebecca Willett, Michael Maire
2023 J jnl
Deep Stochastic Mechanics.
CoRR
Elena Orlova, Aleksei Ustimenko, Ruoxi Jiang, Peter Y. Lu, Rebecca Willett
2023 A* conf
Training neural operators to preserve invariant measures of chaotic attractors.
NeurIPS
Ruoxi Jiang, Peter Y. Lu, Elena Orlova, Rebecca Willett
2023 J jnl
Training neural operators to preserve invariant measures of chaotic attractors.
CoRR
Ruoxi Jiang, Peter Y. Lu, Elena Orlova, Rebecca Willett
2022 A* conf
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification.
NeurIPS
Ruoxi Jiang, Rebecca Willett
2022 J jnl
Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification.
CoRR
Ruoxi Jiang, Rebecca Willett
2021 A* conf
Pure Exploration in Kernel and Neural Bandits.
NeurIPS
Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert Nowak
2021 J jnl
Pure Exploration in Kernel and Neural Bandits.
CoRR
Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert D. Nowak