Research map / Probabilistic and scientific modeling / Dynamical systems
Learning Stable Deep Dynamics Models
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add stability constraint via projection onto Lyapunov decrease halfspace (learned ICNN Lyapunov function) | neural dynamics model · n-link pendulum, 1000-step rollout | prediction error | Helped |
| add stability constraint to latent dynamics model | VAE video texture model · video texture generation | trajectory quality (qualitative) | Helped |
Closest papers by meaning
- Neural Contractive Dynamical Systems (ICLR 2024 · similarity 0.87)
- Learning Deep Dissipative Dynamics (AAAI 2025 · similarity 0.87)
- End-to-End Identifiable and Consistent Recurrent Switching Dynamical Systems (NeurIPS 2026 · similarity 0.85)
- Analytical Lyapunov Function Discovery: An RL-based Generative Approach (ICML 2025 · similarity 0.85)
- DySLIM: Dynamics Stable Learning by Invariant Measure for Chaotic Systems (ICML 2024 · similarity 0.84)
- A Memory Efficient Unified Algorithm for Online Learning of Linear Dynamical Systems (NeurIPS 2026 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.