The first annual IAIFI PhD Summer School will be held at Tufts University August 1—August 5, 2022, followed by the IAIFI Summer Workshop August 8—August 9, 2022.

Website: https://iaifi.org/phd-summer-school.html

The full summer school agenda: https://iaifi.org/summer-school-agenda

View the full program, including contact info and abstracts for lightning talk speakers here: https://iaifi.org/talks/Summer-School_Program_2022.pdf

You can access a GitHub repo with links to the tutorials we’ve held so far, as well as some future tutorials: https://github.com/iaifi/summer-school-2022. We will continue adding tutorials here, so keep checking in!

Table of Contents

Recap: IAIFI Summer School Day 1 - August 1, 2022

• Taco Cohen, Foundations of Geometric Deep Learning:
  • Slides (Lectures 3, 8, and 10 from this link)
  • Recording
• Javier Duarte, Representations, networks, and symmetries for learning from particle physics data:
• Denis Boyda, Tutorial for Foundations of Geometric Deep Learning
• Patrick McCormack (for Dylan Rankin), Tutorial for Model compression and fast machine learning in particle physics: Training Invariant Networks

Recap: IAIFI Summer School Day 2 - August 2, 2022

• Lightning Talks
• Taco Cohen, Foundations of Geometric Deep Learning:
  • Slides (Lectures 3, 8, and 10 from this link)
  • Recording
• Javier Duarte, Representations, networks, and symmetries for learning from particle physics data:
• Denis Boyda, Tutorial for Foundations of Geometric Deep Learning
• Patrick McCormack (for Dylan Rankin), Tutorial for Model compression and fast machine learning in particle physics: Training Invariant Networks
• Yasaman Bahri, Deep learning in the large-width regime
  • Slides: Will be posted to the Slack channel when available
  • Recording

Recap: IAIFI Summer School Day 3 - August 3, 2022

• Lightning Talks
• Yasaman Bahri, Deep learning in the large-width regime
• Sven Krippendorf, Machine learning for beyond-the-standard-model physics
• Anna Golubeva, Tutorial for Deep learning in the large-width regime
• Career Panel
  • Recording

Recap: IAIFI Summer School Day 4 - August 4, 2022

• Lightning Talks
• Sven Krippendorf, Machine learning for beyond-the-standard-model physics
• Juan Carrasquilla, Machine learning for many-body physics
• Siddharth Mishra-Sharma, Tutorial for Beyond-the-standard-model physics
• Di Luo, Tutorial for Machine learning for many-body physics
  • Recording

Recap: IAIFI Summer School Day 5 - August 5, 2022

• Lightning Talks
• Juan Carrasquilla, Machine learning for many-body physics
• Di Luo, Tutorial for Machine learning for many-body physics

Recap: IAIFI Summer Workshop - August 8, 2022

• Welcome and Introduction from Jesse Thaler
• Sébastien Racanière, Generative models with symmetries for physics
• Claudius Krause, Normalizing Flows at the LHC
• Phil Harris, Learning Physics in the Latent Space
• Greg Yang, The unreasonable effectiveness of mathematics in large scale deep learning
  • Recording
• Kazuhiro Terao, Machine Learning for analyzing big image data in neutrino experiments
  • Recording
• Cora Dvorkin, Mining Cosmological Data: Looking for Physics Beyond the Standard Model
  • Recording

Recap: IAIFI Summer Workshop - August 9, 2022

• Day 2 Introduction from Jesse Thaler
• Fabian Ruehle, Machine learning for formal theory
• Jennifer Ngadiuba, Boosting sensitivity to new physics at the LHC with anomaly detection
  • Recording (apologies for missing audio at the beginning)
• Siamak Ravanbakhsh, Learning with Unknown and Nonlinear Symmetry Transformations
• Yi-Zhuang You, Machine Learning Renormalization Group and Its Applications
  • Recording
• Anna Golubeva, Understanding and Improving Sparse Neural Network Training
• Shuchin Aeron, Towards learning generative models for high energy physics
  • Recording