Chen Xu

According to our database, Chen Xu authored at least 22 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Local Flow Matching Generative Models.

Chen Xu, Xiuyuan Cheng, Yao Xie

IEEE Trans. Inf. Theory, May, 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, Mengchao Zhang, Mark Zolotas, Maya Angeles, Owen Pfannenstiehl, Andrew Beaulieu, Jose A. Barreiros

CoRR, February, 2026

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, Katherine Liu, Dale McConachie, Ian McMahon, Haruki Nishimura, Calder Phillips-Grafflin, Charles Richter, Paarth Shah, Krishnan Srinivasan, Blake Wulfe, Chen Xu, Mengchao Zhang, Alex Alspach, Maya Angeles, Kushal Arora, Vitor Campagnolo Guizilini, Alejandro M. Castro, Dian Chen, Ting-Sheng Chu, Sam Creasey, Sean Curtis, Richard Denitto, Emma Dixon, Eric Dusel, Matthew Ferreira, Aimee Goncalves, Grant Gould, Damrong Guoy, Swati Gupta, Xuchen Han, Kyle Hatch, Brendan Hathaway, Allison Henry, Hillel Hochsztein, Phoebe Horgan, Shun Iwase, Donovon Jackson, Siddharth Karamcheti, Sedrick Keh, Joseph Masterjohn, Masayuki Masuda, Jean Mercat, Patrick Tree Miller, Paul Mitiguy, Tony Nguyen, Jeremy Nimmer, Yuki Noguchi, Reko Ong, Aykut Özgün Önol, Owen Pfannenstiehl, Richard Poyner, Leticia Priebe Rocha, Gordon Richardson, Christopher Rodriguez, Derick Seale, Michael A. Sherman, Mariah Smith-Jones, David Tago, Pavel Tokmakov, Matthew Tran, Basile Van Hoorick, Igor Vasiljevic, Sergey Zakharov, Mark Zolotas, Rares Ambrus, Kerri Fetzer-Borelli, Benjamin Burchfiel, Hadas Kress-Gazit, Siyuan Feng, Stacie Ford, Russ Tedrake

Sci. Robotics, 2026

2025

Can We Detect Failures Without Failure Data? Uncertainty-Aware Runtime Failure Detection for Imitation Learning Policies.

Chen Xu, Tony Khuong Nguyen, Emma Dixon, Christopher Rodriguez, Patrick Tree Miller, Robert Lee, Paarth Shah, Rares Ambrus, Haruki Nishimura, Masha Itkina

CoRR, March, 2025

Flow-based Conformal Prediction for Multi-dimensional Time Series.

Junghwan Lee, Chen Xu, Yao Xie

CoRR, February, 2025

Kernel-based Optimally Weighted Conformal Time-Series Prediction.

Jonghyeok Lee, Chen Xu, Yao Xie

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Computing high-dimensional optimal transport by flow neural networks.

Chen Xu, Xiuyuan Cheng, Yao Xie

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Flow-Based Distributionally Robust Optimization.

Chen Xu, Jonghyeok Lee, Xiuyuan Cheng, Yao Xie

IEEE J. Sel. Areas Inf. Theory, 2024

Transformer Conformal Prediction for Time Series.

Junghwan Lee, Chen Xu, Yao Xie

CoRR, 2024

Kernel-based optimally weighted conformal prediction intervals.

Jonghyeok Lee, Chen Xu, Yao Xie

CoRR, 2024

Conformal prediction for multi-dimensional time series by ellipsoidal sets.

Chen Xu, Hanyang Jiang, Yao Xie

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Conformal Prediction for Time Series.

Chen Xu, Yao Xie

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Spatio-Temporal Wildfire Prediction Using Multi-Modal Data.

Chen Xu, Yao Xie, Daniel A. Zuniga Vazquez, Rui Yao, Feng Qiu

IEEE J. Sel. Areas Inf. Theory, 2023

Optimal transport flow and infinitesimal density ratio estimation.

Chen Xu, Xiuyuan Cheng, Yao Xie

CoRR, 2023

Generalized generalized linear models: Convex estimation and online bounds.

Anatoli B. Juditsky, Arkadi Nemirovski, Yao Xie, Chen Xu

CoRR, 2023

Normalizing flow neural networks by JKO scheme.

Chen Xu, Xiuyuan Cheng, Yao Xie

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Sequential Predictive Conformal Inference for Time Series.

Chen Xu, Yao Xie

Proceedings of the International Conference on Machine Learning, 2023

2022

Invertible Neural Networks for Graph Prediction.

Chen Xu, Xiuyuan Cheng, Yao Xie

IEEE J. Sel. Areas Inf. Theory, September, 2022

Invertible normalizing flow neural networks by JKO scheme.

Chen Xu, Xiuyuan Cheng, Yao Xie

CoRR, 2022

Conformal prediction set for time-series.

Chen Xu, Yao Xie

CoRR, 2022

Training neural networks using monotone variational inequality.

Chen Xu, Xiuyuan Cheng, Yao Xie

CoRR, 2022

2021

Conformal prediction interval for dynamic time-series.

Chen Xu, Yao Xie

Proceedings of the 38th International Conference on Machine Learning, 2021