Machine Learning for Fundamental Physics School (ML4FP) 2025
from
Monday 4 August 2025 (00:00)
to
Friday 8 August 2025 (20:30)
Monday 4 August 2025
¶
08:30
Welcome Presentation
-
Yifan Chen
(
SLAC
)
Oz Amram
(
Fermilab
)
Sascha Diefenbacher
(
Lawrence Berkeley National Laboratory
)
Welcome Presentation
Yifan Chen
(
SLAC
)
Oz Amram
(
Fermilab
)
Sascha Diefenbacher
(
Lawrence Berkeley National Laboratory
)
08:30 - 09:00
09:00
Introduction to Machine Learning: Part I
-
Sascha Diefenbacher
(
Lawrence Berkeley National Laboratory
)
Introduction to Machine Learning: Part I
Sascha Diefenbacher
(
Lawrence Berkeley National Laboratory
)
09:00 - 10:30
10:30
Coffee Break
Coffee Break
10:30 - 11:00
11:00
Tutorial: Intro to Neural Networks I
-
Yifan Chen
(
SLAC
)
Kevin Greif
(
University of California, Irvine
)
Tutorial: Intro to Neural Networks I
Yifan Chen
(
SLAC
)
Kevin Greif
(
University of California, Irvine
)
11:00 - 12:30
12:30
Lunch
Lunch
12:30 - 13:30
13:30
Introduction to Machine Learning: Part II
-
Dennis Noll
(
Lawrence Berkeley National Lab. (US)
)
Introduction to Machine Learning: Part II
Dennis Noll
(
Lawrence Berkeley National Lab. (US)
)
13:30 - 15:00
15:00
Coffee Break
Coffee Break
15:00 - 15:30
15:30
Tutorial: Intro to Neural Networks II
-
Yifan Chen
(
SLAC
)
Kevin Greif
(
University of California, Irvine
)
Tutorial: Intro to Neural Networks II
Yifan Chen
(
SLAC
)
Kevin Greif
(
University of California, Irvine
)
15:30 - 17:30
Tuesday 5 August 2025
¶
09:00
Overview of ML in collider physics
-
Vinicius Mikuni
(
LBL
)
Overview of ML in collider physics
Vinicius Mikuni
(
LBL
)
09:00 - 09:45
09:45
Overview of ML in neutrino physics
-
Kazu Terao
(
SLAC
)
Overview of ML in neutrino physics
Kazu Terao
(
SLAC
)
09:45 - 10:30
10:30
Coffee Break
Coffee Break
10:30 - 11:00
11:00
Differentiable Programming
-
Sean Gasiorowski
(
SLAC
)
Differentiable Programming
Sean Gasiorowski
(
SLAC
)
11:00 - 12:30
12:30
Lunch
Lunch
12:30 - 13:30
13:30
Simulation-based Inference: Part I (Lecture)
-
Tae Park
(
MPP
)
Sean Benevedes
(
MIT
)
Aishik Ghosh
Simulation-based Inference: Part I (Lecture)
Tae Park
(
MPP
)
Sean Benevedes
(
MIT
)
Aishik Ghosh
13:30 - 15:00
15:00
Coffee Break
Coffee Break
15:00 - 15:30
15:30
Simulation-based Inference: Part II (tutorial)
-
Aishik Ghosh
Tae Park
(
MPP
)
Sean Benevedes
(
MIT
)
Simulation-based Inference: Part II (tutorial)
Aishik Ghosh
Tae Park
(
MPP
)
Sean Benevedes
(
MIT
)
15:30 - 17:00
Wednesday 6 August 2025
¶
09:00
Transformers and Foundation Models: Part I
-
Vinicius Mikuni
Transformers and Foundation Models: Part I
Vinicius Mikuni
09:00 - 10:30
10:30
Coffee Break
Coffee Break
10:30 - 10:45
10:45
Transformers and Foundation Models: Part II
-
Vinicius Mikuni
Transformers and Foundation Models: Part II
Vinicius Mikuni
10:45 - 11:45
11:45
Break
Break
11:45 - 12:00
12:00
LLM Application
-
Thorsten Hellert
(
LBNL
)
LLM Application
Thorsten Hellert
(
LBNL
)
12:00 - 13:00
Thursday 7 August 2025
¶
09:00
Generative Models: Part I
-
Sascha Diefenbacher
(
Lawrence Berkeley National Laboratory
)
Generative Models: Part I
Sascha Diefenbacher
(
Lawrence Berkeley National Laboratory
)
09:00 - 10:30
10:30
Coffee Break
Coffee Break
10:30 - 11:00
11:00
Generative Models: Part II
-
Sascha Diefenbacher
(
Lawrence Berkeley National Laboratory
)
Generative Models: Part II
Sascha Diefenbacher
(
Lawrence Berkeley National Laboratory
)
11:00 - 12:30
12:30
Lunch
Lunch
12:30 - 13:30
13:30
Anomaly Detection: Part I
-
Oz Amram
(
Fermilab
)
Anomaly Detection: Part I
Oz Amram
(
Fermilab
)
13:30 - 14:30
14:30
Coffee Break
Coffee Break
14:30 - 15:00
15:00
Anomaly Detection: Part II
-
Oz Amram
(
Fermilab
)
Anomaly Detection: Part II
Oz Amram
(
Fermilab
)
15:00 - 16:00
16:00
Coffee Break and Setup
Coffee Break and Setup
16:00 - 16:30
16:30
Industry talk
-
Chase Shimmin
(
P-1
)
Industry talk
Chase Shimmin
(
P-1
)
16:30 - 17:30
17:30
Meet and Greet
Meet and Greet
17:30 - 18:00
18:30
Dinner
Dinner
18:30 - 20:30
Friday 8 August 2025
¶
09:00
Parallel Sessions
Parallel Sessions
09:00 - 12:00
12:00
Lunch
Lunch
12:00 - 13:00
13:00
Efficient ML: Part I
-
Elham E Khoda
(
University of California, San Diego
)
Efficient ML: Part I
Elham E Khoda
(
University of California, San Diego
)
13:00 - 14:30
14:30
Coffee Break
Coffee Break
14:30 - 15:00
15:00
Efficient ML: Part II
-
Elham E Khoda
(
University of California, San Diego
)
Efficient ML: Part II
Elham E Khoda
(
University of California, San Diego
)
15:00 - 16:30
16:30
Closeout session
-
Oz Amram
(
Fermilab
)
Sascha Diefenbacher
(
Lawrence Berkeley National Laboratory
)
Yifan Chen
(
SLAC
)
Aishik Ghosh
Elham E Khoda
(
University of California, San Diego
)
Closeout session
Oz Amram
(
Fermilab
)
Sascha Diefenbacher
(
Lawrence Berkeley National Laboratory
)
Yifan Chen
(
SLAC
)
Aishik Ghosh
Elham E Khoda
(
University of California, San Diego
)
16:30 - 17:00