Jiang, Ruoxi

7 publications

ICLR 2026 PMDformer: Patch-Mean Decoupling Information Transformer for Long-Term Forecasting Ao Hu, Liangjian Wen, Jiang Duan, Yong Dai, Yan He, Dongkai Wang, Jun Wang, Yukun Zhang, Ruoxi Jiang, Zenglin Xu

NeurIPS 2025 Hierarchical Implicit Neural Emulators Ruoxi Jiang, Xiao Zhang, Karan Jakhar, Peter Y. Lu, Pedram Hassanzadeh, Michael Maire, Rebecca Willett

CVPR 2025 Nested Diffusion Models Using Hierarchical Latent Priors Xiao Zhang, Ruoxi Jiang, Rebecca Willett, Michael Maire

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

NeurIPS 2023 Training Neural Operators to Preserve Invariant Measures of Chaotic Attractors Ruoxi Jiang, Peter Y. Lu, Elena Orlova, Rebecca Willett

NeurIPS 2022 Embed and Emulate: Learning to Estimate Parameters of Dynamical Systems with Uncertainty Quantification Ruoxi Jiang, Rebecca Willett

NeurIPS 2021 Pure Exploration in Kernel and Neural Bandits Yinglun Zhu, Dongruo Zhou, Ruoxi Jiang, Quanquan Gu, Rebecca Willett, Robert Nowak