Research map / Probabilistic and scientific modeling / Dynamical systems
Variational Inference for Continuous-Time Switching Dynamical Systems
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.
Closest papers by meaning
- On the Identifiability of Switching Dynamical Systems (ICML 2024 · similarity 0.89)
- Variational Inference for SDEs Driven by Fractional Noise (ICLR 2024 · similarity 0.88)
- SING: SDE Inference via Natural Gradients (NeurIPS 2025 · similarity 0.88)
- Closing the Approximation Gap in Simulation-free Latent SDEs (NeurIPS 2026 · similarity 0.88)
- Predicting partially observable dynamical systems via diffusion models with a multiscale inference scheme (NeurIPS 2025 · similarity 0.88)
- Exact Inference for Continuous-Time Gaussian Process Dynamics (AAAI 2024 · similarity 0.87)
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.