AI and Quantum Information Applications in Fundamental Physics
from
Sunday, 12 February 2023 (09:30)
to
Saturday, 18 February 2023 (21:00)
Monday, 6 February 2023
Tuesday, 7 February 2023
Wednesday, 8 February 2023
Thursday, 9 February 2023
Friday, 10 February 2023
Saturday, 11 February 2023
Sunday, 12 February 2023
09:30
09:30 - 23:30
Monday, 13 February 2023
09:30
09:30 - 12:15
12:15
Lunch
Lunch
12:15 - 14:00
14:00
Session 1 (chair: Claudius Krause)
Session 1 (chair: Claudius Krause)
14:00 - 15:15
Contributions
14:00
No classification without representation -- Efficient data representations & other challenges for anomaly detection, generative models, and supervised classification
-
Gregor Kasieczka
15:15
Coffee
Coffee
15:15 - 15:45
15:45
Session 2 (chair: Claudius Krause)
Session 2 (chair: Claudius Krause)
15:45 - 18:00
Contributions
15:45
Kinematic Variables and Feature Engineering for Particle Phenomenology
-
KC Kong
(
University of Kansas
)
17:00
DeeLeMa: Missing information search with Deep Learning for Mass estimation
-
Kayoung Ban
17:30
A review of machine learning applications of jet tagging
-
Daohan Wang
18:00
Dinner
Dinner
18:00 - 20:00
Tuesday, 14 February 2023
09:30
Session 3 (chair: Gregor Kasieczka)
Session 3 (chair: Gregor Kasieczka)
09:30 - 10:45
Contributions
09:30
Normalizing flow for data-driven background estimations and other uses
-
Suyong Choi
10:45
Coffee
Coffee
10:45 - 11:00
11:00
Session 4 (chair: Gregor Kasieczka)
Session 4 (chair: Gregor Kasieczka)
11:00 - 12:15
Contributions
11:00
Fast and Faithful Calorimeter Simulations with Normalizing Flows
-
Claudius Krause
12:15
Lunch
Lunch
12:15 - 14:00
14:00
Free discussion
Free discussion
14:00 - 18:30
18:30
Dinner
Dinner
18:30 - 20:00
20:00
Open discussion ML
Open discussion ML
20:00 - 21:30
Wednesday, 15 February 2023
09:30
Session 5 (chair: Suyong Choi)
Session 5 (chair: Suyong Choi)
09:30 - 10:45
Contributions
09:30
Uncertainties in the era of ML
-
Aishik Ghosh
10:45
Coffee
Coffee
10:45 - 11:00
11:00
Session 6 (chair: Suyong Choi)
Session 6 (chair: Suyong Choi)
11:00 - 12:15
Contributions
11:00
Novel applications of normalizing flows from LHC to Astrophysics
-
David Shih
12:15
Lunch
Lunch
12:15 - 14:00
14:00
Session 7 (chair: Aishik Ghosh)
Session 7 (chair: Aishik Ghosh)
14:00 - 15:15
Contributions
14:00
Constructing novel nonparametric estimators for information-theoretic measure estimation.
-
Yung-Kyun Noh
15:15
Coffee
Coffee
15:15 - 15:45
15:45
Session 8 (chair: Aishik Ghosh)
Session 8 (chair: Aishik Ghosh)
15:45 - 17:30
Contributions
15:45
Self-supervision in particle physics [remote talk]
-
Barry Dillon
17:00
Complicated parameter spaces and machine learnnig
-
Raymundo Ramos
17:30
Free discussion
Free discussion
17:30 - 18:30
18:30
Dinner
Dinner
18:30 - 20:00
Thursday, 16 February 2023
09:30
Session 9 (chair: Marat Freytsis)
Session 9 (chair: Marat Freytsis)
09:30 - 10:45
Contributions
09:30
Quantum Machine Learning Applications for Data Analysis in High Energy Physics [remote talk]
-
Andrea Delgado
10:45
Coffee
Coffee
10:45 - 11:00
11:00
Session 10 (chair: Marat Freytsis)
Session 10 (chair: Marat Freytsis)
11:00 - 12:15
Contributions
11:00
Theory-driven quantum machine learning for HEP
-
Jack Araz
12:15
Lunch
Lunch
12:15 - 14:00
14:00
Free discussion
Free discussion
14:00 - 18:30
18:30
Dinner
Dinner
18:30 - 20:00
20:00
QC Open discussion
QC Open discussion
20:00 - 21:30
Friday, 17 February 2023
09:30
Session 11 (chair: Jack Araz)
Session 11 (chair: Jack Araz)
09:30 - 10:45
Contributions
09:30
Quantum Machine Learning: Opportunities and Challenges (Part I)
-
Daniel Park
10:45
Coffee
Coffee
10:45 - 11:00
11:00
Session 12 (chair: Jack Araz)
Session 12 (chair: Jack Araz)
11:00 - 12:15
Contributions
11:00
Quantum Machine Learning: Opportunities and Challenges (Part II)
-
Daniel Park
12:15
Lunch
Lunch
12:15 - 14:00
14:00
Session 13 (chair: Seong Chan Park)
Session 13 (chair: Seong Chan Park)
14:00 - 15:15
Contributions
14:00
Effective uses of quantum simulation for particle physics
-
Marat Freytsis
15:15
Coffee
Coffee
15:15 - 15:45
15:45
Session 14 (chair: Seong Chan Park)
Session 14 (chair: Seong Chan Park)
15:45 - 18:00
Contributions
15:45
Quantum metric learning for image analysis
-
Ahmed Hammad
16:15
Variational quantum algorithms
-
Eunok Bae
16:45
Bubble nucleation as a QUBO problem
-
Jae-hyeon Park
(
Korea Institute for Advanced Study
)
17:15
Combinatorial optimization with Quantum machine
-
Myeonghun Park
(
Seoultech
)
18:00
Banquet
Banquet
18:00 - 21:30
Saturday, 18 February 2023
09:30
09:30 - 12:30