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Machine Learning for Fundamental Physics School 2024
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Description
The Machine Learning for Fundamental Physics (ML4FP) School will be hosted at Lawrence Berkeley National Laboratory. All talks and tutorials will be given in person, and participants can register to participate in-person or virtually. Following two very successful US ATLAS Machine Learning (ML) training events in 2022 and 2023, this year the program is open to all of particle physics. NERSC will provide training accounts with GPU nodes for registered participants. Thanks to the financial assistance provided by US ATLAS through the ATC program, US ATLAS students will be eligible for financial assistance with housing during their stay. There will also be a dedicated parallel session for ATLAS specific ML skills.
There is no registration fees for this school. The total number of registrations for each participation mode will be capped, so please register as soon as possible!
Getting to the School
From the Guest House
Participants staying at the Guest House can walk directly from the Guest House to the School venue: B66. The walk takes around 15 minutes and is described in this map.
From Berkeley:
Participants staying in Berkeley are advised to take the Blue LBL shuttle line up the hill until the B62/66 shuttle stop.
Overview:
We will introduce fundamental concepts of machine learning accompanied by hands-on tutorials of the essential open-source ML packages. The program will cover particle physics specific use cases and deployment of the trained models in C++ software (eg. Athena) / FPGAs, with lots of hands-on examples. There will be invited talks from veteran ML experts in HEP who have previously deployed ML for different tasks in experiments.
Attendees can expect to gain an overview of the range of current and upcoming ML applications in HEP, and also learn some of the particle physics specific tricks that an ML practitioner picks up from experience. We will try to address the typical ML questions that often come up in analysis meetings.
Tentative topics to be covered (many will include a hands-on component):
- Introduction to Machine Learning
- Introduction to standard open-source ML packages like Scikit-learn, XGBoost, Keras and Pytorch
- Overview of ML in particle physics
- Practitioners guide to handling particle physics datasets
- Generative Models
- Neural Simulation-Based Inference
- Uncertainty treatment
- Unfolding
- Exploiting symmetries in physics data
- Graph Neural Networks in particle physics
- Transformers and LLMs
- Differentiable Programming
- Deploying NNs in C++ and python: ONNX Runtime
- Deploying NNs on FPGA: Quantization, Model prunnning and compression, HLS4ML
The full agenda will be made public closer to the event.
Industry Talk:
In previous years we had speakers from Nvidia (Jaideep Pathak) and Amazon (Chen Luo) talk about their transition to industry and their research work in these companies. We will invite another exciting speaker this year from industry.
Computing Resources:
In-person participants will be guaranteed computing resources for the hands-on sessions thanks to NERSC. Virtual participants will be giving access on a first come first serve basis.
Networking:
The inaugural program led to new collaborative projects in ATLAS. This training program will again be a platform for young ML enthusiasts to connect with one another and with veteran ML experts in HEP.
Tutorial git:
Github link: https://github.com/ml4fp/2024-lbnl
Zoom: See Day 5 session links
Discussions:
Join the slack workspace to discuss and ask questions about the tutorials, particularly for remote participants.
Slack joining link: https://join.slack.com/t/ml4fp/shared_invite/zt-2nhv0qhts-pkH3Qf30YomavTOn3MP_nw
Organizing team:
Aishik Ghosh, he/him/they/them (UCI & LBL)
Elham E Khoda (SDSC/UCSD)
Benjamin Nachman (LBL)
Steven Farrell (NERSC/LBL)
Sascha Diefenbacher (LBL)
Oz Amram (Fermilab)
Maris Arthurs (SLAC)
Daniel Whiteson (UCI)
Shih-Chieh Hsu (UW)
Participants
aaron mankel
Abdulhafiz Ahmed Mustofa
Abdullah Younus
Abhishikth Mallampalli
Ahmed Abdelmotteleb
Aiham Al Musalhi
Ajay Kaladharan
Alejandro Cobo
Alo Chakravarty
Aman Desai
AMAN Gupta
Anas Farahat
Andrea Lizeth Lopez Rodriguez
Andrea Sainz Bear
Andrew Wiebe
Andrews Peter
André Aimé ATANGANA LIKENE
ANKUR SINGHA
Antonett Prado
Aurora Kiefer
Austin Mullins
Avik Das
Baker Wong
Bhawani Singh
Bouchra El Alaoui
Carlos Romero
Caue Evangelista
Chandramauli Agrawal
Chi Lung Cheng
Christos Vergis
Chukwuebuka Ezeokeke
Con Muangkod
Daniel Estrada Acevedo
Daniel Felea
Daniela Hikari Yano
Datao Gong
Devin Aebi
Diego Figueiredo
Dinesh Kumar
Dipak Maity
Divyajyoti Pandey
Divyansh Tripathi
Duong Nguyen
Eda Erdoğan
Ehizojie Ali
Elie Hammou
Emmanuel Botero Osorio
Erdem Yigit Ertorer
Ethan Lee
Fabian Andres Castaño Usuga
Franz Glessgen
Gabriel Matos
Gursharan Singh
Hadi Hashamipour
hamza harraf
Haoxuan Sun
Harisree Krishnamoorthy
Haritha P.E
HECTOR VELAZQUEZ
Hemida Hamed Hemida Mohammed
Isaac Rosenberg
Jack Simoni
Jae Jin Hong
Jaime Calderon
Jake Rudolph
James Kingston
Jan-Frederik Schulte
Jay Shen
Jieun Yoo
Johannes Wagner
Jordán Daniel Santillan Morales
Jose Monroy
Juan Esteban Ospina Holguín
Junsong Lin
Kaicheng Zhang
Keila Moral Figueroa
Kevin Cardenas
Kevin Mota Amarilo
Kevin Wood
Kousar Shaheen
Kuldeep Deka
Kyla Langotsky
Laboni Das
Lacey Dishman
Longfei Hu
Luca Mantani
Lucas Kang
Lázaro Raúl Díaz Lievano
Mahesh Kumar Saini
Manasa Ranjan Sahoo
Manoj Yadav
Manuel Morales-Alvarado
Maria Vittoria Garzelli
Mariano Dominguez
Marina Kholodenko
Marina Prvan
Marium Ghulam Nabi
Mark Costantini
Matheus da Costa Geraldes
Matt Foresi
Mayra Silva
Mazen Nairat
Miduo GUO
Milo Buitrago-Casas
Mohammed ABDELLAOUI
Mohammed Aboelela
Mohammed Attia Mahmoud
Moira Venegas
Muhammad saiel
Muhammad Zuhaib Khan
Nakul Aggarwal
Nan Lu
Natalya Melnikova
Nathan Suri
Naveen Baghel
Nihar Ranjan Saha
Orçun Kolay
Osama Dawood
osman bayraktar
Owen Young
Pablo Gordon
Pau Solé Vilaró
Pellegrino Piantadosi
Phan Nguyen
Prachi Sharma
Pritvik Sinhadc
Qiuping Shen
Rahul Agrawal
Rami Slim
Ranzivelle Marianne Roxas-Villanueva
Raymond Wynne
Ricardo Paredes
Riccardo Manfredi
Riya Bisht
Rogelio Orozco
Roger Huang
Rohit Raj
Rudina Osmanaj (Zeqirllari)
Rupul Chandna
Saksevul Arias Santiz
Samarendra Nayak
Sandeep Pradhan
Sanjit Masanam
Santosh Bhandari
Sayan Chatterjee
Sayantan Dutta
Sebastián Reyes
Sergei Kholodenko
Shafiq Ur Rehman
Shauvik Biswas
Shuo Yuan
Simone Gasperini
Simón González Gómez
Sneh Shuchi
Stefan Katsarov
Stephen Greenberg
Suman Das Gupta
Sumit Keshri
SURBHI KHETRAPAL
Swagata Ghosh
SWETA BARADIA
Taha Afzal
Tananan Anansubying
Tapasi Ghosh
Tia Charaf
Timofei Babenko
Tongguang Cheng
Vinay Hegde
Vincent Riechers
Wanyue Wang
xiaolong he
xinyue geng
Yahya Khwaira
Yanxi Gu
Yasser Mohammed
Yibo Zhong
Yue Wang
Zhenglaing Guo
Zhou Li
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