Physics ∩ ML Seminars |
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 - 12:15 pm; Online Seminar: Please sign up for our mailing list at www.physicsmeetsml.org for zoom link, hosted by Gary Shiu
- Wednesday, January 12th
- Kangwook Lee, UW Madison ECE and CS
- A gentle introduction to new ideas in modern ML
- 11:00 am - 12:00 pm; Online: , hosted by Moritz Muenchmeyer
February 2022
- Wednesday, February 2nd
- Ge Yang, IAIFI and MIT
- Equivariant Neural Fields: A Roadmap Towards Generalizable Neural Representation and Inference
- 11:00 am - 12:15 pm; Chamberlin 5280 (Zoom link also available for online participants who signed up on our mailing list), hosted by Gary Shiu
- 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 - 12:15 pm; Chamberlin 5280 (Zoom link also available for online participants who signed up on our mailing list), hosted by Gary Shiu
March 2022
- Wednesday, March 9th
- Nicholas Roberts, University of Wisconsin-Madison
- Rethinking AutoML for Diverse Tasks
- 11:00 am - 12:15 pm; Chamberlin 5280 (Zoom link for those attending online: )
- Wednesday, March 16th
- Eva Silverstein, Stanford University
- BI for AI: Energy conserving descent for optimization
- 11:00 am - 12:15 pm; Zoom link:
- Wednesday, March 23rd
- Greg Yang, Microsoft Research
- Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer
- 11:00 am - 12:15 pm; 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.
- Wednesday, March 30th
- Yi-Zhuang You, UC San Diego
- Machine Learning Statistical Gravity from Multi-Region Entanglement Entropy
- 11:00 am - 12:15 pm; Chamberlin 5280 (Zoom link also available for online participants who signed up on our mailing list)
April 2022
- Wednesday, April 6th
- Stanislas Polu, OpenAI
- Formal Mathematics Statement Curriculum Learning
- 11:00 am - 12:15 pm; Chamberlin 5280 (Zoom link also available for online participants who signed up on our mailing list)
- 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 - 5:00 pm; Virtual, please register at , hosted by CDIS
- Wednesday, April 13th
- Sven Krippendorf, Ludwig Maximilian University
- A duality connecting neural network and cosmological dynamics
- 11:00 am - 12:15 pm; Chamberlin 5280 (Zoom link also available for online participants who signed up on our mailing list)
- Wednesday, April 20th
- Sho Yaida, Meta AI
- Effective Theory of Deep Neural Networks
- 11:00 am - 12:15 pm; 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.
- Wednesday, April 27th
- Ro Jefferson, Nordita
- Quantum field theory and deep neural networks
- 11:00 am - 12:15 pm; Chamberlin 5280 (Zoom link for those attending online: ), hosted by Gary Shiu
May 2022
- Wednesday, May 4th
- Semon Rezchikov, Harvard University
- Renormalization Group Flow as Optimal Transport
- 11:00 am - 12:15 pm; 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
- Wednesday, May 18th
- Siddharth Mishra-Sharma, MIT
- Simulation-based inference for astrophysical dark matter searches
- 11:00 am - 12:15 pm; Online Seminar: Please sign up for our mailing list at www.physicsmeetsml.org for zoom link