Event Videos
David Hogg: Gaussian Processes
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David Blei: Inferring Stardust (with variational inference)
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Gábor Csányi: Representation and Regression Problems In Molecular Structure and Dynamics
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Gabriel Peyré: Scaling Optimal Transport to High Dimensional Learning
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Davi Geiger: Quantum Interference In Computer Vision
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Bruno Régaldo-Saint Blancard: Statistical Description of the Polarized Interstellar Medium
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Siamak Ravanbakhsh: Representation Learning With Discrete Symmetries
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Erwan Allys: Toward Low-dimensional Representation of Physical Fields
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ML Physics: Examples, Comments, Observations and Questions Part 1
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