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Yaofeng Desmond Zhong

Improving Gradient Computation for Differentiable Physics Simulation with Contacts

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Apr 28, 2023
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A Neural ODE Interpretation of Transformer Layers

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Dec 12, 2022
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Differentiable Physics Simulations with Contacts: Do They Have Correct Gradients w.r.t. Position, Velocity and Control?

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Jul 08, 2022
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A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles

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Nov 08, 2021
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EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles

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Sep 19, 2021
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A Differentiable Contact Model to Extend Lagrangian and Hamiltonian Neural Networks for Modeling Hybrid Dynamics

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Feb 12, 2021
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Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data

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Dec 30, 2020
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Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control

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Jul 03, 2020
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Dissipative SymODEN: Encoding Hamiltonian Dynamics with Dissipation and Control into Deep Learning

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Mar 02, 2020
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Symplectic ODE-Net: Learning Hamiltonian Dynamics with Control

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Sep 26, 2019
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