NeuralDMD: Interpretable Neural Representation of Dynamics from Sparse and Noisy Measurements

arXiv:2507.03094 · cs.CV, astro-ph.IM, cs.LG, physics.ao-ph · Submitted 2025-07-03 · Read on arXiv

cs.CV, astro-ph.IM, cs.LG, physics.ao-ph

Submitted: 2025-07-03

Updated: 2026-10-15

Terminology

• Data Assimilation — 1× in this paper · explained in 2 episodes
• Dynamic Mode Decomposition — 1× in this paper
• Dynamic Mode Decomposition (DMD) — 1× in this paper · explained in 4 episodes
• Inverse Problem — 1× in this paper · explained in 2 episodes
• Sparsity — 1× in this paper · explained in 4 episodes

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models