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physics-informed learning

95 papers

PIL

Papers

Efficiently Parameterized Neural Metriplectic Systems ICLR 2025 Learning a Neural Solver for Parametric PDEs to Enhance Physics-Informed Methods ICLR 2025 NAPI-MPC: Neural Accelerated Physics-Informed MPC for Nonlinear PDE Systems L4DC 2025 Patient-Level Anatomy Meets Scanning-Level Physics: Personalized Federated Low-Dose CT Denoising Empowered by Large Language Model CVPR 2025 PhyMPGN: Physics-encoded Message Passing Graph Network for spatiotemporal PDE systems ICLR 2025 Physics-Informed Deep Inverse Operator Networks for Solving PDE Inverse Problems ICLR 2025 Physics-informed Gaussian Processes as Linear Model Predictive Controller L4DC 2025 Physics-informed Kernel Learning JMLR 2025 PhysTwin: Physics-Informed Reconstruction and Simulation of Deformable Objects from Videos ICCV 2025 PINP: Physics-Informed Neural Predictor with latent estimation of fluid flows ICLR 2025 PIN-WM: Learning Physics-INformed World Models for Non-Prehensile Manipulation RSS 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 Revisiting Disparity from Dual-Pixel Images: Physics-Informed Lightweight Depth Estimation WACV 2025 3D Super-Resolution Model for Vehicle Flow Field Enrichment WACV 2024 Advection Augmented Convolutional Neural Networks NeurIPS 2024 A New, Physics-Informed Continuous-Time Reinforcement Learning Algorithm with Performance Guarantees JMLR 2024 A Physics-informed Low-rank Deep Neural Network for Blind and Universal Lens Aberration Correction CVPR 2024 CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy NeurIPS 2024 DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering NeurIPS 2024 FUSE: Fast Unified Simulation and Estimation for PDEs NeurIPS 2024 HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NeurIPS 2024 Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation ICLR 2024 Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning NeurIPS 2024 P^2C^2Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NeurIPS 2024