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IWR School 2025 Machine Learning for Fundamental Physics

  • Date in the past
  • Monday, 15. September 2025, 09:00
  • Mathematikon • Im Neuenheimer Feld 205 • 69120 Heidelberg

    Machine Learning is here to stay and is shaping the future of fundamental physics research. From optimal inference, over theory-inspired network architectures, to anomaly detection, representation learning and foundation models, a new generation of scientists is driving these exciting developments. This school aims to further strengthen technical expertise and foster new connections.

    Register for Event
    Particles in a quantum field

    The 2025 IWR School on Machine Learning for Fundamental Physics is aimed at advanced PhD students specializing in scientific machine learning. We particularly encourage registrations from researchers with experience in scientific machine learning, as demonstrated by papers or preprints related to the topic of the school. The school takes place at the Interdisciplinary Center for Scientific Computing (IWR) at Heidelberg University September 15-19, 2025.

    Central themes of the school are:

    • Modern network architectures
    • Precision and uncertainties
    • Scientific foundation models
    • Generative Networks
    • Representation learning
    • Optimal inference
    • Quantum field theory and networks

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