Events

Physics ∩ ML Seminars

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Events During the 2021 Fall Semester

August 2021

   Wednesday, August 11th
Miles Cranmer, Princeton University
Interpretable Deep Learning for Physics
11:00 am, Online Seminar: Please sign up for our mailing list at www.physicsmeetsml.org for zoom link, hosted by Gary Shiu
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   Wednesday, August 25th
Danilo Rezende, Deepmind
Towards Flow-based MCMC for Lattice Gauge Theory with Fermions
11:00 am, Online Seminar: Please sign up for our mailing list at www.physicsmeetsml.org for zoom link, hosted by Gary Shiu
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September 2021

   Wednesday, September 8th
Sam Schoenholz, Google Brain
JAX MD: A Framework for Differentiable Atomistic Physics
11:00 am, Online Seminar: Please sign up for our mailing list at www.physicsmeetsml.org for zoom link, hosted by Gary Shiu
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   Wednesday, September 22nd
Nils Thuerey, TU Munich
Differentiable Physics Simulations for Deep Learning
11:00 am, Online Seminar: Please sign up for our mailing list at www.physicsmeetsml.org for zoom link, hosted by Gary Shiu
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October 2021

   Wednesday, October 6th
Uros Seljak, UC Berkeley
Normalizing Flows for scientific applications
11:00 am, Chamberlin 5280 (Zoom link also available for online participants who signed up on our mailing list), hosted by Gary Shiu
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   Wednesday, October 20th
Joshua Yao-Yu Lin , University of Illinois at Urbana-Champaign
Machine Learning Application for the Event Horizon Telescope
11:00 am, Chamberlin 5280 (Zoom link also available for online participants who signed up on our mailing list), hosted by Gary Shiu
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November 2021

   Wednesday, November 3rd
Gavin Hartnett, RAND
Self-Supervised Learning of Generative Spin-Glasses with Normalizing Flows
11:00 am, Chamberlin 5280 (Zoom link also available for online participants who signed up on our mailing list), hosted by Gary Shiu
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December 2021

   Wednesday, December 1st
Sharon Li, University of Wisconsin-Madison
Title to be announced
11:00 am, Chamberlin 5280 (Zoom link also available for online participants who signed up on our mailing list), hosted by Gary Shiu
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