Pure Exploration in Kernel and Neural Bandits. - Yinglun Zhu; Dongruo Zhou; Ruoxi Jiang; Quanquan Gu; Rebecca Willett; Robert Nowak 001 (NeurIPS, 2021)

Embed and Emulate: Learning to estimate parameters of dynamical systems with uncertainty quantification. - Ruoxi Jiang; Rebecca Willett (NeurIPS, 2022)

Training neural operators to preserve invariant measures of chaotic attractors. - Ruoxi Jiang; Peter Y. Lu; Elena Orlova; Rebecca Willett (NeurIPS, 2023)

Deep Stochastic Mechanics. - Elena Orlova; Aleksei Ustimenko; Ruoxi Jiang; Peter Y. Lu; Rebecca Willett (ICML, 2024)

Residual Connections Harm Self-Supervised Abstract Feature Learning. - Xiao Zhang; Ruoxi Jiang; William Gao; Rebecca Willett; Michael Maire (CoRR, 2024)

Embed and Emulate: Contrastive representations for simulation-based inference. - Ruoxi Jiang; Peter Y. Lu; Rebecca Willett (CoRR, 2024)

Nested Diffusion Models Using Hierarchical Latent Priors. - Xiao Zhang; Ruoxi Jiang; Rebecca Willett; Michael Maire (CVPR, 2025)

Towards efficient quantum algorithms for diffusion probability models. - Yunfei Wang; Ruoxi Jiang; Yingda Fan; Xiaowei Jia; Jens Eisert; Junyu Liu; Jin-Peng Liu (CoRR, 2025)

Hierarchical Implicit Neural Emulators. - Ruoxi Jiang; Xiao Zhang; Karan Jakhar; Peter Y. Lu; Pedram Hassanzadeh; Michael Maire; Rebecca Willett (CoRR, 2025)