Gotham City MLXPhysics Workshop

  • Organized by
  • Shirley Ho, Ph.D.Group Leader, Flatiron Institute
    Cosmology X Data Science, CCA
Date & Time


Join organizer Shirley Ho for a workshop that brings together scientists working in the field of machine learning and physics for collaboration on applying ML to physics challenges and understanding ML with physics as a tool/insight.

For a detailed workshop schedule click here.

April 29, 2019

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Multiscale Interactions In Physics and Machine Learning With Deep Nets
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Can You Help Us Understand Deep Learning
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Short Talks
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Gauge Fields In Deep Learning

April 30, 2019

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From Statistical Physics to Machine Learning and Back
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Scientific Machine Learning with Empirical Rigor
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Deep Learning Many-Body Quantum Physics
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Short Talks
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How Does Gradient Descent Find A Good Minima, Instead of Spurious Ones?
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Short Talks
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Global Convergence of Neuron Birth-Death Dynamics
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Learning the Universe With Machine Learning Steps to Open the Pandora Box
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Can a Neural Net Find a New Linguistic Law On Its Own?
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Machine Learning for Science Some Open Questions

May 1, 2019

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Inferring Stardust (with variational inference)
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Representation and Regression Problems In Molecular Structure and Dynamics
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Scaling Optimal Transport to High Dimensional Learning
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Quantum Interference In Computer Vision
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Statistical Description of the Polarized Interstellar Medium
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Representation Learning With Discrete Symmetries
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Toward Low-dimensional Representation of Physical Fields
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ML Physics: Examples, Comments, Observations and Questions Part 1
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ML Physics: Examples, Comments, Observations and Questions Part 2
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Concluding Remarks
Advancing Research in Basic Science and MathematicsSubscribe to Flatiron Institute announcements and other foundation updates