50 citations · 110 across the 12 of their papers we have counts for
4 papers · 1 filter
Learning Compositional Koopman Operators for Model-Based Control
Yunzhu Li, Hao He, Jiajun Wu +2
Finding an embedding space for a linear approximation of a nonlinear dynamical system enables efficient system identification and control synthesis. The Koopman operator theory lay…
Training-Free Uncertainty Estimation for Dense Regression: Sensitivity as a Surrogate
Lu Mi, Hao Wang, Yonglong Tian +2
Uncertainty estimation is an essential step in the evaluation of the robustness for deep learning models in computer vision, especially when applied in risk-sensitive areas. Howeve…
Robust Reinforcement Learning in POMDPs with Incomplete and Noisy Observations
Yuhui Wang, Hao He, Xiaoyang Tan
In real-world scenarios, the observation data for reinforcement learning with continuous control is commonly noisy and part of it may be dynamically missing over time, which violat…
Bidirectional Inference Networks: A Class of Deep Bayesian Networks for Health Profiling
Hao Wang, Chengzhi Mao, Hao He +3
We consider the problem of inferring the values of an arbitrary set of variables (e.g., risk of diseases) given other observed variables (e.g., symptoms and diagnosed diseases) and…