Physics-Informed Learning

ProPhy: Progressive Physical Alignment for Dynamic World Simulation CVPR 2026 Real-Time Dynamic Scene Rendering with Controlled Compressibility and Contact Awareness CVPR 2026 Scalable Infinitesimal Generator–Based Koopman Learning for Long-Horizon Prediction L4DC 2026 Seeing Through Blur: Tackling Defocus in Spike-Based Imaging CVPR 2026 SmokeSVD: Smoke Reconstruction from A Single View via Progressive Novel View Synthesis and Refinement with Diffusion Models CVPR 2026 Solving a Nonlinear Blind Inverse Problem for Tagged MRI with Physics and Deep Generative Priors CVPR 2026 STDE++: Polynomial-Time Amortization for Linear Differential Operators JMLR 2026 VT-Intrinsic: Physics-Based Decomposition of Reflectance and Shading using a Single Visible-Thermal Image Pair CVPR 2026 Action-Conditioned Hamiltonian Generative Networks (AC-HGN) for Supervised and Reinforcement Learning L4DC 2025 Domain Adaptation with Hybrid Modeling for Learning Dynamical Systems ACML 2025 Efficiently Parameterized Neural Metriplectic Systems ICLR 2025 Energy-consistent Neural Operators for Hamiltonian and Dissipative Partial Differential Equations AISTATS 2025 Error Bounds for Physics-Informed Neural Networks in Fokker-Planck PDEs UAI 2025 Improved Uncertainty Quantification in Physics-Informed Neural Networks Using Error Bounds and Solution Bundles UAI 2025 Learning Geometrically-Informed Lyapunov Functions with Deep Diffeomorphic RBF Networks AISTATS 2025 NAPI-MPC: Neural Accelerated Physics-Informed MPC for Nonlinear PDE Systems L4DC 2025 Orthogonal projection-based regularization for efficient model augmentation L4DC 2025 Physics-Enforced Reservoir Computing for Forecasting Spatiotemporal Systems L4DC 2025 Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems ICLR 2025 Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics AAAI 2025 Predicting the Energy Landscape of Stochastic Dynamical System via Physics-informed Self-supervised Learning ICLR 2025 QP Based Constrained Optimization for Reliable PINN Training L4DC 2025 An operator preconditioning perspective on training in physics-informed machine learning ICLR 2024 Human Motion Prediction Under Unexpected Perturbation CVPR 2024 Physics-Constrained Comprehensive Optical Neural Networks NeurIPS 2024