Events

Physics ∩ ML Seminars

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Events During the 2022 Spring Semester

January 2022

   Wednesday, January 5th
Gadi Naveh, Racah Institute of Physics, Hebrew University
A self-consistent GP framework far from the GP limit
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, January 12th
Kangwook Lee, UW Madison ECE and CS
A gentle introduction to new ideas in modern ML
11:00 am, Online: , hosted by Moritz Muenchmeyer
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February 2022

   Wednesday, February 2nd
Ge Yang, IAIFI and MIT
Equivariant Neural Fields: A Roadmap Towards Generalizable Neural Representation and Inference
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, February 9th
Probabilistic Deep Learning and Applications to FRB parameter inference
   Wednesday, February 16th
Alex Cole , University of Amsterdam
Fast and Credible Inference with Truncated Marginal Neural Ratio Estimation
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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March 2022

   Wednesday, March 9th
Nicholas Roberts, University of Wisconsin-Madison
Rethinking AutoML for Diverse Tasks
11:00 am, Chamberlin 5280 (Zoom link for those attending online: )
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   Wednesday, March 16th
Eva Silverstein, Stanford University
BI for AI: Energy conserving descent for optimization
11:00 am, Zoom link:
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   Wednesday, March 23rd
Greg Yang, Microsoft Research
Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
11:00 am, Online Seminar: Please sign up for our mailing list at www.physicsmeetsml.org for zoom link. We will also livestream the talk in Chamberlin 5280.
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   Wednesday, March 30th
Yi-Zhuang You, UC San Diego
Machine Learning Statistical Gravity from Multi-Region Entanglement Entropy
11:00 am, Chamberlin 5280 (Zoom link also available for online participants who signed up on our mailing list)
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April 2022

   Wednesday, April 6th
Stanislas Polu, OpenAI
Formal Mathematics Statement Curriculum Learning
11:00 am, Chamberlin 5280 (Zoom link also available for online participants who signed up on our mailing list)
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   Thursday, April 7th
Kyle Cranmer, AmFam Data Science Institute
RED Talk: Data Science is on its Feet, Now Where is it Going?
4:00 pm, Virtual, please register at , hosted by CDIS
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   Wednesday, April 13th
Sven Krippendorf, Ludwig Maximilian University
A duality connecting neural network and cosmological dynamics
11:00 am, Chamberlin 5280 (Zoom link also available for online participants who signed up on our mailing list)
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   Wednesday, April 20th
Sho Yaida, Meta AI
Effective Theory of Deep Neural Networks
11:00 am, Online Seminar: Please sign up for our mailing list at www.physicsmeetsml.org for zoom link. We will also livestream the talk in Chamberlin 5280.
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   Wednesday, April 27th
Ro Jefferson, Nordita
Quantum field theory and deep neural networks
11:00 am, Chamberlin 5280 (Zoom link for those attending online: ), hosted by Gary Shiu
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May 2022

   Wednesday, May 4th
Semon Rezchikov, Harvard University
Renormalization Group Flow as Optimal Transport
11:00 am, Online Seminar: Please sign up for our mailing list at www.physicsmeetsml.org for zoom link. We will also livestream the talk in Chamberlin 5280., hosted by Gary Shiu
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