dynamics learning

Learning Physics Informed Neural ODEs with Partial Measurements AAAI 2025 Morphological-Symmetry-Equivariant Heterogeneous Graph Neural Network for Robotic Dynamics Learning L4DC 2025 SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations ICML 2025 MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components AAAI 2024 NeuMA: Neural Material Adaptor for Visual Grounding of Intrinsic Dynamics NeurIPS 2024 Zero-Shot Transfer of Neural ODEs NeurIPS 2024 Constants of motion network NeurIPS 2022 Learning the Dynamics of Compliant Tool-Environment Interaction for Visuo-Tactile Contact Servoing CoRL 2022 Myriad: a real-world testbed to bridge trajectory optimization and deep learning NeurIPS 2022 Benchmarking Energy-Conserving Neural Networks for Learning Dynamics from Data L4DC 2021 Encoding Physical Constraints in Differentiable Newton-Euler Algorithm L4DC 2020 Object-Oriented Dynamics Learning through Multi-Level Abstraction AAAI 2020 Learning-In-The-Loop Optimization: End-To-End Control And Co-Design Of Soft Robots Through Learned Deep Latent Representations NeurIPS 2019 Learning Equations for Extrapolation and Control ICML 2018 Visual Interaction Networks: Learning a Physics Simulator from Video NeurIPS 2017