Conformal prediction interval for dynamic time-series. - Chen Xu 011; Yao Xie 002 (ICML, 2021)

Training neural networks using monotone variational inequality. - Chen Xu 011; Xiuyuan Cheng; Yao Xie 002 (CoRR, 2022)

Conformal prediction set for time-series. - Chen Xu 011; Yao Xie 002 (CoRR, 2022)

Invertible normalizing flow neural networks by JKO scheme. - Chen Xu 011; Xiuyuan Cheng; Yao Xie 002 (CoRR, 2022)

Invertible Neural Networks for Graph Prediction. - Chen Xu 011; Xiuyuan Cheng; Yao Xie 002 (IEEE J. Sel. Areas Inf. Theory, 2022)

Sequential Predictive Conformal Inference for Time Series. - Chen Xu 011; Yao Xie 002 (ICML, 2023)

Normalizing flow neural networks by JKO scheme. - Chen Xu 011; Xiuyuan Cheng; Yao Xie 002 (NeurIPS, 2023)

Generalized generalized linear models: Convex estimation and online bounds. - Anatoli B. Juditsky; Arkadi Nemirovski; Yao Xie 002; Chen Xu 011 (CoRR, 2023)

Optimal transport flow and infinitesimal density ratio estimation. - Chen Xu 011; Xiuyuan Cheng; Yao Xie 002 (CoRR, 2023)

Spatio-Temporal Wildfire Prediction Using Multi-Modal Data. - Chen Xu 011; Yao Xie 002; Daniel A. Zuniga Vazquez; Rui Yao 004; Feng Qiu (IEEE J. Sel. Areas Inf. Theory, 2023)

Conformal Prediction for Time Series. - Chen Xu 011; Yao Xie 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Conformal prediction for multi-dimensional time series by ellipsoidal sets. - Chen Xu 011; Hanyang Jiang; Yao Xie 002 (ICML, 2024)

Kernel-based optimally weighted conformal prediction intervals. - Jonghyeok Lee; Chen Xu 011; Yao Xie 002 (CoRR, 2024)

Transformer Conformal Prediction for Time Series. - Junghwan Lee; Chen Xu 011; Yao Xie 002 (CoRR, 2024)

Flow-Based Distributionally Robust Optimization. - Chen Xu 011; Jonghyeok Lee; Xiuyuan Cheng; Yao Xie 002 (IEEE J. Sel. Areas Inf. Theory, 2024)

Computing high-dimensional optimal transport by flow neural networks. - Chen Xu 011; Xiuyuan Cheng; Yao Xie 002 (AISTATS, 2025)

Kernel-based Optimally Weighted Conformal Time-Series Prediction. - Jonghyeok Lee; Chen Xu 011; Yao Xie 002 (ICLR, 2025)

Flow-based Conformal Prediction for Multi-dimensional Time Series. - Junghwan Lee; Chen Xu 011; Yao Xie 002 (CoRR, 2025)

Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies. - Chen Xu 011; Tony Khuong Nguyen; Emma Dixon; Christopher Rodriguez; Patrick Tree Miller; Robert Lee; Paarth Shah; Rares Ambrus; Haruki Nishimura; Masha Itkina (CoRR, 2025)

A careful examination of large behavior models for multitask dexterous manipulation. - Jose A. Barreiros; Andrew Beaulieu; Aditya Bhat; Rick Cory; Eric Cousineau; Hongkai Dai; Ching-Hsin Fang; Kunimatsu Hashimoto; Muhammad Zubair Irshad; Masha Itkina; Naveen Kuppuswamy; Kuan-Hui Lee; et al. (Sci. Robotics, 2026)

A Systematic Study of Data Modalities and Strategies for Co-training Large Behavior Models for Robot Manipulation. - Fanqi Lin; Kushal Arora; Jean Mercat; Haruki Nishimura; Paarth Shah; Chen Xu 011; Mengchao Zhang; Mark Zolotas; Maya Angeles; Owen Pfannenstiehl; Andrew Beaulieu; Jose A. Barreiros (CoRR, 2026)

Local Flow Matching Generative Models. - Chen Xu 011; Xiuyuan Cheng; Yao Xie 002 (IEEE Trans. Inf. Theory, 2026)