Simons- Workshop: strings, geometry, and data science

  1. Title:
    On Calabi-Yau Metrics and Neural Networks

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  2. Title:
    Learning to Inflate

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  3. Title:
    Inflation as an information bottleneck

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  5. Title:
    Deep learning quantum geometry in matrix models

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  6. Title:
    Machine Learning towards particle physics from strings

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  7. Title:
    Landscape-flux of nonequilibrium multiverse and time arrow

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  9. Title:
    Strings and Restricted Boltzman Machines?

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  10. Title:
    Machine and reinforcement learning for constructive proofs in topology

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  11. Title:
    Knots and data science?

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  12. Title:
    String Data and Machine Learning

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  13. Title:
    Casimir effect and 3d QED from machine learning

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  14. Title:
    Deep learning and AdS/CFT

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