Learning Nonlinear Dynamics and Chaos: A Universal Framework for Knowledge-Based System Identification and Prediction. - Tom Z. Jiahao; M. Ani Hsieh; Eric Forgoston (CoRR, 2020)

Deformable Image Registration using Neural ODEs. - Yifan Wu; Tom Z. Jiahao; Jiancong Wang; Paul A. Yushkevich; James C. Gee; M. Ani Hsieh (CoRR, 2021)

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

Learning to Swarm with Knowledge-Based Neural Ordinary Differential Equations. - Tom Z. Jiahao; Lishuo Pan; M. Ani Hsieh (ICRA, 2022)

KNODE-MPC: A Knowledge-Based Data-Driven Predictive Control Framework for Aerial Robots. - Kong Yao Chee; Tom Z. Jiahao; M. Ani Hsieh (IEEE Robotics Autom. Lett., 2022)

Leveraging Predictive Models for Adaptive Sampling of Spatiotemporal Fluid Processes. - Sandeep Manjanna; Tom Z. Jiahao; M. Ani Hsieh (CoRR, 2023)

Learning Switching Port-Hamiltonian Systems with Uncertainty Quantification. - Thomas Beckers 001; Tom Z. Jiahao; George J. Pappas (CoRR, 2023)

Knowledge-based Neural Ordinary Differential Equations for Cosserat Rod-based Soft Robots. - Tom Z. Jiahao; Ryan Adolf; Cynthia Sung 001; M. Ani Hsieh (CoRR, 2024)