On Parameters of Nonlinear Scalar Dynamics from Video: Invariants, Calibration, and Identifiability
cs.LG
Submitted: 2026-09-30
Updated: 2026-09-30
Terminology
Sources
- V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
- Framing local structural identifiability and observability in terms of parameter-state symmetries
- Interpreting Physics in Video World Models
- Extracting Governing Equations from Latent Dynamics via Multi-View Contrastive Learning
- Evaluating Newtonian Mechanics in Video Generative Models with Real Physical Systems
Related papers
- Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
- AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
- Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
- Convergence issues in Relational Concept Analysis based on AOC-posets
- Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
- Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks