IAIFI Summer School & Workshop
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:
- 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
- Tutorial Colab
- Recording (beginning at 1:08:00)
Recap: IAIFI Summer School Day 2 - August 2, 2022
- Lightning Talks
- Taco Cohen, Foundations of Geometric Deep Learning:
- 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
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
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
- Kazuhiro Terao, Machine Learning for analyzing big image data in neutrino experiments
- Cora Dvorkin, Mining Cosmological Data: Looking for Physics Beyond the Standard Model
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
- Anna Golubeva, Understanding and Improving Sparse Neural Network Training
- Shuchin Aeron, Towards learning generative models for high energy physics
