Showing 1–19 of 19 results
/ Date/ Name
Aug 18, 2024Parameterized Physics-informed Neural Networks for Parameterized PDEsDec 2, 2025Basis-Oriented Low-rank Transfer for Few-Shot and Test-Time AdaptationDec 16, 2023Operator-learning-inspired Modeling of Neural Ordinary Differential EquationsOct 14, 2023Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural NetworksSep 6, 2024Dense Hand-Object(HO) GraspNet with Full Grasping Taxonomy and DynamicsJun 11, 2025Neural Functions for Learning Periodic SignalFeb 7, 2026Escaping Spectral Bias without Backpropagation: Fast Implicit Neural Representations with Extreme Learning MachinesJun 15, 2025PDEfuncta: Spectrally-Aware Neural Representation for PDE Solution ModelingAug 15, 2025Meta-learning Structure-Preserving DynamicsOct 5, 2024FastLRNR and Sparse Physics Informed BackpropagationOct 29, 2025Learning Low Rank Neural Representations of Hyperbolic Wave Dynamics from DataNov 30, 2025PIANO: Physics-informed Dual Neural Operator for Precipitation NowcastingJun 2, 2025Fourier-Modulated Implicit Neural Representation for Multispectral Satellite Image CompressionFeb 3, 2026SceneLinker: Compositional 3D Scene Generation via Semantic Scene Graph from RGB SequencesDec 19, 2023Learning Flexible Body Collision Dynamics with Hierarchical Contact Mesh TransformerMar 27, 2025Unveiling the Potential of Superexpressive Networks in Implicit Neural RepresentationsOct 9, 2024MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior DataMar 5, 2025Tackling Few-Shot Segmentation in Remote Sensing via Inpainting Diffusion ModelMar 9, 2026Int3DNet: Scene-Motion Cross Attention Network for 3D Intention Prediction in Mixed Reality