Particle Physics in Computing Frontier
from
Monday, 9 December 2019 (08:00)
to
Friday, 13 December 2019 (18:00)
Monday, 9 December 2019
08:00
Registration
Registration
08:00 - 08:45
Room: Conference Room
08:45
General introduction
General introduction
08:45 - 09:00
Room: Conference Room
09:00
09:00 - 12:00
Room: Conference Room
Contributions
09:00
Searching for the Unexpected with Unsupervised Machine Learning
-
David Shih
(
Rutgers U.
)
10:30
Jet or Event ? - Physics at Future e-e+ Colliders
-
Tao Liu
(
HKUST
)
12:00
Lunch
Lunch
12:00 - 13:30
Room: cafeteria
13:30
13:30 - 16:30
Room: Conference Room
Contributions
13:30
LHC Kinematics and Unsupervised Learning for New Physics Searches
-
Christopher Rogan
(
U. Kansas
)
15:00
Strange Jet Tagging
-
Yuichiro Nakai
(
Shanghai Jiaotong U.
)
16:30
Break
Break
16:30 - 16:45
Room: Conference Room
16:45
David Shih
David Shih
16:45 - 18:00
Room: Conference Room
Contributions
16:45
Machine Learning 1
-
David Shih
(
Rutgers U
)
Tuesday, 10 December 2019
09:00
09:00 - 12:00
Room: Conference Room
Contributions
09:00
Two-point energy correlation spectra analysis for top tagging and beyond
-
Sung Hak Lim
(
KEK
)
10:30
Deep Learning Jet Substructure from Two Particle Correlation
-
Yang-Ting Chien
(
YITP, Stony Brook
)
12:00
Lunch
Lunch
12:00 - 13:30
Room: Conference Room
13:30
13:30 - 16:30
Room: Conference Room
Contributions
13:30
Event Generation with Normalizing Flows
-
Claudius Krause
(
Fermilab
)
15:00
Simulating collider physics data with GAN
-
Suyong Choi
(
Korea U.
)
16:30
Break
Break
16:30 - 16:45
Room: Conference Room
16:45
David Shih
David Shih
16:45 - 18:00
Room: Conference Room
Contributions
16:45
Machine Learning 2
Wednesday, 11 December 2019
09:00
09:00 - 12:00
Room: Conference Room
Contributions
09:00
Unsupervised event classification using probabilistic modelling
-
Barry M. Dillon
(
Stefan Inst.
)
10:30
IR sensitivity of Machine Learning top tagging
-
Seung J. Lee
(
Korea U.
)
12:00
Lunch
Lunch
12:00 - 13:30
Room: Conference Room
13:30
David Shih
David Shih
13:30 - 14:45
Room: Conference Room
Contributions
13:30
Machine Learning 3
15:00
IBS-CAPP tour
IBS-CAPP tour
15:00 - 17:30
Room: Conference Room
18:30
Banquet
Banquet
18:30 - 20:00
Room: Conference Room
Thursday, 12 December 2019
09:00
09:00 - 12:00
Room: Conference Room
Contributions
09:00
High-lumi opportunities for Higgs physics
-
Dorival Goncalves
(
Oklahoma State U.
)
10:30
Exploring the standard model EFT in VH production with machine learning
-
Felipe F. Freitas
(
Aveiro U.
)
12:00
Lunch
Lunch
12:00 - 13:30
Room: Conference Room
13:30
13:30 - 16:30
Room: Conference Room
Contributions
13:30
Signatures of New Physics in the Large Scale Structure Data
-
Yuhsin Tsai
(
Maryland U.
)
15:00
Unitarity violation from Nonstandard Higgs couplings
-
Spencer Chang
(
Oregon U.
)
16:30
Break
Break
16:30 - 16:45
Room: Conference Room
16:45
Felipe Ferreira
Felipe Ferreira
16:45 - 18:00
Room: Conference Room
Contributions
16:45
Machine Learning 4
Friday, 13 December 2019
09:00
09:00 - 12:00
Room: Conference Room
Contributions
09:00
Computing Based on Quantum Principles
-
Joonwoo Bae
(
KAIST
)
10:30
Large-scale image/video understanding via symbolic scene graphs
-
Eun-Sol Kim
(
Kakao Brain
)
12:00
Lunch
Lunch
12:00 - 13:30
Room: Conference Room
13:30
Kinematic Focus Point Method for Signal Discovery and Measurement
-
Doojin Kim
(
Texas A&M University
)
Kinematic Focus Point Method for Signal Discovery and Measurement
Doojin Kim
(
Texas A&M University
)
13:30 - 14:30
Room: Conference Room
14:30
Discussion
Discussion
14:30 - 17:30
Room: Conference Room