Deep Generative Markov State Models

Hao Wu, Andreas Mardt, Luca Pasquali, Frank Noe

Feb-14-2026, 22:31:43 GMT–Neural Information Processing Systems

We propose a deep generative Markov State Model (DeepGenMSM) learningframework for inference of metastable dynamical systems and prediction of tra-jectories.

artificial intelligence, configuration, machine learning, (17 more...)

Neural Information Processing Systems

Feb-14-2026, 22:31:43 GMT

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Country:
- Asia > China
  - Shanghai > Shanghai (0.04)
- Europe > Germany (0.04)
- North America > Canada
  - Quebec > Montreal (0.04)

Technology:
- Information Technology > Artificial Intelligence > Machine Learning
  - Learning Graphical Models (0.69)
  - Neural Networks (0.71)

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