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Physics-Informed Learning

5 papers

Papers per year

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Papers

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics AAAI 2025
Human Motion Prediction Under Unexpected Perturbation CVPR 2024
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification NIPS 2023
Physics-Informed Implicit Representations of Equilibrium Network Flows NIPS 2022
Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints NIPS 2020