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Yu Xiang

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Causal Inference from Slowly Varying Nonstationary Processes

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May 11, 2024
Kang Du, Yu Xiang

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Mining Invariance from Nonlinear Multi-Environment Data: Binary Classification

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Apr 23, 2024
Austin Goddard, Kang Du, Yu Xiang

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Training-Conditional Coverage Bounds for Uniformly Stable Learning Algorithms

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Apr 21, 2024
Mehrdad Pournaderi, Yu Xiang

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Deep Dependency Networks and Advanced Inference Schemes for Multi-Label Classification

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Apr 17, 2024
Shivvrat Arya, Yu Xiang, Vibhav Gogate

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Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis

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Mar 25, 2024
Jie Qiao, Yu Xiang, Zhengming Chen, Ruichu Cai, Zhifeng Hao

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MultiGripperGrasp: A Dataset for Robotic Grasping from Parallel Jaw Grippers to Dexterous Hands

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Mar 14, 2024
Luis Felipe Casas Murrilo, Ninad Khargonkar, Balakrishnan Prabhakaran, Yu Xiang

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Grasping Trajectory Optimization with Point Clouds

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Mar 08, 2024
Yu Xiang, Sai Haneesh Allu, Rohith Peddi, Tyler Summers, Vibhav Gogate

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RISeg: Robot Interactive Object Segmentation via Body Frame-Invariant Features

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Mar 04, 2024
Howard H. Qian, Yangxiao Lu, Kejia Ren, Gaotian Wang, Ninad Khargonkar, Yu Xiang, Kaiyu Hang

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Low-Rank Approximation of Structural Redundancy for Self-Supervised Learning

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Feb 10, 2024
Kang Du, Yu Xiang

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CaptainCook4D: A dataset for understanding errors in procedural activities

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Dec 22, 2023
Rohith Peddi, Shivvrat Arya, Bharath Challa, Likhitha Pallapothula, Akshay Vyas, Jikai Wang, Qifan Zhang, Vasundhara Komaragiri, Eric Ragan, Nicholas Ruozzi, Yu Xiang, Vibhav Gogate

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