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Workshop / Chicago, United States

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Image-Based Scientific Machine Learning for Theories of Biological Dynamics Across Scales – Information-theoretic methods for learning dynamics

A technical workshop on information-theoretic methods for learning biological dynamics from experimental data, including representation learning and connections to contemporary AI. The workshop is part of a broader scientific machine-learning program.

Topics

  • AI interpretability
  • deep learning
  • information theory
  • machine learning
  • representation learning
  • scientific machine learning

Details may change. Confirm the programme, availability and registration with the organizer.

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Dates
8 February 2027 – 12 February 2027
Duration
5 days
Starts
In 124 days
Place
Chicago, United States
Venue
875 North Michigan Avenue
Format
In person
Language
English
Organizer
National Institute for Theory and Mathematics in Biology (NITMB)
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