Hsieh, M. Ani

8 publications

CoRL 2025 KoopMotion: Learning Almost Divergence Free Koopman Flow Fields for Motion Planning Alice Kate Li, Thales C. Silva, Victoria Edwards, Vijay Kumar, M. Ani Hsieh

CVPRW 2025 Looking into the Shadow: Recording a Total Solar Eclipse with High-Resolution Event Cameras Fernando Cladera, Kenneth Chaney, Caroline Pritchard, M. Ani Hsieh, Vijay Kumar, Camillo J. Taylor, Kostas Daniilidis

L4DC 2024 Uncertainty Quantification and Robustification of Model-Based Controllers Using Conformal Prediction Kong Yao Chee, Thales C. Silva, M. Ani Hsieh, George J. Pappas

L4DC 2023 Learning-Enhanced Nonlinear Model Predictive Control Using Knowledge-Based Neural Ordinary Differential Equations and Deep Ensembles Kong Yao Chee, M. Ani Hsieh, Nikolai Matni

CVPRW 2023 M3ED: Multi-Robot, Multi-Sensor, Multi-Environment Event Dataset Kenneth Chaney, Fernando Cladera Ojeda, Ziyun Wang, Anthony Bisulco, M. Ani Hsieh, Christopher M. Korpela, Vijay Kumar, Camillo J. Taylor, Kostas Daniilidis

L4DC 2023 Online Estimation of the Koopman Operator Using Fourier Features Tahiya Salam, Alice Kate Li, M. Ani Hsieh

CVPR 2022 NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration Yifan Wu, Tom Z. Jiahao, Jiancong Wang, Paul A. Yushkevich, M. Ani Hsieh, James C. Gee

CoRL 2022 Online Dynamics Learning for Predictive Control with an Application to Aerial Robots Tom Z. Jiahao, Kong Yao Chee, M. Ani Hsieh