conftrace_

physics-informed learning

66 papers

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Also known as

PIL

Co-occurring keywords

partial differential equation (222) neural network (6616) dynamical system (398) diffusion model (3751) graph neural network (3962) gaussian process (1200) generative model (2892) uncertainty quantification (1393) differential equation (56) spatiotemporal prediction (21)

Papers

Med-Real2Sim: Non-Invasive Medical Digital Twins using Physics-Informed Self-Supervised Learning NIPS 2024
Social Physics Informed Diffusion Model for Crowd Simulation AAAI 2024
A Physics-informed Low-rank Deep Neural Network for Blind and Universal Lens Aberration Correction CVPR 2024
DEL: Discrete Element Learner for Learning 3D Particle Dynamics with Neural Rendering NIPS 2024
CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy NIPS 2024
Advection Augmented Convolutional Neural Networks NIPS 2024
P$^2$C$^2$Net: PDE-Preserved Coarse Correction Network for efficient prediction of spatiotemporal dynamics NIPS 2024
3D Super-Resolution Model for Vehicle Flow Field Enrichment WACV 2024
PlantPlotGAN: A Physics-Informed Generative Adversarial Network for Plant Disease Prediction WACV 2024
HHD-GP: Incorporating Helmholtz-Hodge Decomposition into Gaussian Processes for Learning Dynamical Systems NIPS 2024
Physics-Informed Bayesian Optimization of Variational Quantum Circuits NIPS 2023
PICProp: Physics-Informed Confidence Propagation for Uncertainty Quantification NIPS 2023
ResoNet: Noise-Trained Physics-Informed MRI Off-Resonance Correction NIPS 2023
Nonparametric Boundary Geometry in Physics Informed Deep Learning NIPS 2023
INO: Invariant Neural Operators for Learning Complex Physical Systems with Momentum Conservation AISTATS 2023
Physics-Driven Turbulence Image Restoration with Stochastic Refinement ICCV 2023
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion ICCV 2023
Neumann Network With Recursive Kernels for Single Image Defocus Deblurring CVPR 2023
Compositional Learning of Dynamical System Models Using Port-Hamiltonian Neural Networks L4DC 2023
Gaussian Process Priors for Systems of Linear Partial Differential Equations with Constant Coefficients ICML 2023
Amortized Normalizing Flows for Transcranial Ultrasound with Uncertainty Quantification MIDL 2023
SyncTREE: Fast Timing Analysis for Integrated Circuit Design through a Physics-informed Tree-based Graph Neural Network NIPS 2023
Unravelling the Performance of Physics-informed Graph Neural Networks for Dynamical Systems NIPS 2022
AutoIP: A United Framework to Integrate Physics into Gaussian Processes ICML 2022
Deep Learning for Model Correction in Cardiac Electrophysiological Imaging MIDL 2022