"ML at HEP workshop" in Japan 2024
from
Tuesday, 9 January 2024 (12:30)
to
Wednesday, 10 January 2024 (17:30)
Monday, 8 January 2024
Tuesday, 9 January 2024
12:30
Registration
Registration
12:30 - 13:00
Room: Kobayashi hall
13:00
Opening
-
Yu NAKAHAMA
(
KEK
)
Opening
Yu NAKAHAMA
(
KEK
)
13:00 - 13:05
Room: Kobayashi hall
13:05
Data Science for Astronomy
-
Shiro Ikeda
(
The Institute of Statistical Mathematics
)
Data Science for Astronomy
Shiro Ikeda
(
The Institute of Statistical Mathematics
)
13:05 - 13:45
Room: Kobayashi hall
13:45
Review: Low-level object reconstruction and simulation using ML
-
Vinicius Mikuni
(
LBL
)
Review: Low-level object reconstruction and simulation using ML
Vinicius Mikuni
(
LBL
)
13:45 - 14:25
Room: Kobayashi hall
14:25
ML for Jet Tagging: Status and Prospects
-
Huilin Qu
(
CERN
)
ML for Jet Tagging: Status and Prospects
Huilin Qu
(
CERN
)
14:25 - 15:05
Room: Kobayashi hall
15:05
Group Photo
Group Photo
15:05 - 15:10
Room: Kobayashi hall
15:10
Coffee
Coffee
15:10 - 15:35
Room: Kobayashi hall
15:35
Dark Matter Applications of Machine Learning
-
Matt Buckley
(
Rutgers University
)
Dark Matter Applications of Machine Learning
Matt Buckley
(
Rutgers University
)
15:35 - 16:15
Room: Kobayashi hall
16:15
Flow-Matching models for the LHC
-
Darius Faroughy
(
Rutgers University
)
Flow-Matching models for the LHC
Darius Faroughy
(
Rutgers University
)
16:15 - 16:35
Room: Kobayashi hall
16:35
AI Methods in Galaxy Formation
-
Suchetha Cooray
(
NAOJ
)
AI Methods in Galaxy Formation
Suchetha Cooray
(
NAOJ
)
16:35 - 16:55
Room: Kobayashi hall
16:55
Multi-Scale Cross-Attention Transformer Encoder for Event Classification
-
Ahmed Hammad
(
KEK
)
Multi-Scale Cross-Attention Transformer Encoder for Event Classification
Ahmed Hammad
(
KEK
)
16:55 - 17:15
Room: Kobayashi hall
17:15
A data-driven and model-agnostic approach to solving combinatorial assignment problems in searches for new physics
-
Javier Montejo
(
IFAE Barcelona & QUP
)
A data-driven and model-agnostic approach to solving combinatorial assignment problems in searches for new physics
Javier Montejo
(
IFAE Barcelona & QUP
)
17:15 - 17:35
Room: Kobayashi hall
Wednesday, 10 January 2024
09:30
Prospects of LLMs for Fundamental Physics
-
Mariel Pettee
(
LBL
)
Prospects of LLMs for Fundamental Physics
Mariel Pettee
(
LBL
)
09:30 - 10:10
Room: Kobayashi hall
10:10
Review and Perspective on AI for Observational Cosmology
-
François Lanusse
(
Simons Foundation/CNRS
)
Review and Perspective on AI for Observational Cosmology
François Lanusse
(
Simons Foundation/CNRS
)
10:10 - 10:50
Room: Kobayashi hall
10:50
Extracting optimal information from upcoming cosmological surveys
-
Adrian Bayer
(
Princeton
)
Extracting optimal information from upcoming cosmological surveys
Adrian Bayer
(
Princeton
)
10:50 - 11:10
Room: Kobayashi hall
11:10
Cosmosage: a natural-language assistant for cosmology
-
Tijmen de Haan
(
KEK
)
Cosmosage: a natural-language assistant for cosmology
Tijmen de Haan
(
KEK
)
11:10 - 11:30
Room: Kobayashi hall
11:30
Lunch
Lunch
11:30 - 13:00
Room: Kobayashi hall
13:00
Using AI for unsupervised discovery in particle physics
-
Gregor Kasieczka
(
Hamburg
)
Using AI for unsupervised discovery in particle physics
Gregor Kasieczka
(
Hamburg
)
13:00 - 13:40
Room: Kobayashi hall
13:40
Model-independence of machine-learning-based mass reconstruction for inclusive multi-jet search
-
Takane Sano
(
Kyoto University
)
Model-independence of machine-learning-based mass reconstruction for inclusive multi-jet search
Takane Sano
(
Kyoto University
)
13:40 - 14:00
Room: Kobayashi hall
14:00
Jet Classification using High-Level Features from Anatomy of Top Jets
-
Sung Hak Lim
(
Rutgers University
)
Jet Classification using High-Level Features from Anatomy of Top Jets
Sung Hak Lim
(
Rutgers University
)
14:00 - 14:20
Room: Kobayashi hall
14:20
Development of Anomaly Detection techniques applied to the building and Quality Control of ATLAS new silicon tracking detector
-
Louis Vaslin
(
KEK QUP
)
Development of Anomaly Detection techniques applied to the building and Quality Control of ATLAS new silicon tracking detector
Louis Vaslin
(
KEK QUP
)
14:20 - 14:40
Room: Kobayashi hall
14:40
Pre-training strategy using real particle collision data for event classification in collider physics
-
Tomoe Kishimoto
(
KEK
)
Pre-training strategy using real particle collision data for event classification in collider physics
Tomoe Kishimoto
(
KEK
)
14:40 - 15:00
Room: Kobayashi hall
15:00
Coffee break
Coffee break
15:00 - 15:30
Room: Kobayashi hall
15:30
Returning CP-observables to the frames they belong (unfolding)
-
Rahool Barman
(
IPMU
)
Returning CP-observables to the frames they belong (unfolding)
Rahool Barman
(
IPMU
)
15:30 - 15:50
Room: Kobayashi hall
15:50
A Machine-learning Approach to Assessing the Presence of Substructure in Quasar-host Galaxies
-
Chris Nagele
(
University of Tokyo
)
A Machine-learning Approach to Assessing the Presence of Substructure in Quasar-host Galaxies
Chris Nagele
(
University of Tokyo
)
15:50 - 16:10
Room: Kobayashi hall
16:10
Improving the diphoton event selection with GNNs
-
Isai Roberto Sotarriva Alvarez
(
TokyoTech
)
Improving the diphoton event selection with GNNs
Isai Roberto Sotarriva Alvarez
(
TokyoTech
)
16:10 - 16:30
Room: Kobayashi hall
16:30
Machine-learning-assisted beam tuning at the KEK Linac and prospects for SuperKEKB
-
Shinnosuke Kato
(
University of Tokyo
)
Machine-learning-assisted beam tuning at the KEK Linac and prospects for SuperKEKB
Shinnosuke Kato
(
University of Tokyo
)
16:30 - 16:50
Room: Kobayashi hall
16:50
Development of a hardware trigger using machine learning in the Belle II experiment
-
Riku Nomaru
(
University of Tokyo
)
Development of a hardware trigger using machine learning in the Belle II experiment
Riku Nomaru
(
University of Tokyo
)
16:50 - 17:10
Room: Kobayashi hall
17:10
Closing
-
Junichi Tanaka
(
The University of Tokyo
)
Closing
Junichi Tanaka
(
The University of Tokyo
)
17:10 - 17:20
Room: Kobayashi hall