IoP Machine Learning workshop
Friday 22 Apr 2022, 09:00
→
17:00
Asia/Taipei
Auditorium room 1F (Institute of Physics, Academia Sinica)
Auditorium room 1F
Institute of Physics, Academia Sinica
poster.jpg
洪敏玲小姐
mlhong@gate.sinica.edu.tw
09:00
→
09:20
Registration
20m
09:20
→
09:30
Welcome
10m
Speaker
:
IoP Director
09:30
→
10:30
Lecture I: Introduction of Deep Learning
1h
Speaker
:
Prof.
Hung-yi Lee, 李宏毅
(
Department of Electrical Engineering, NTU
)
ML workshop part 1.pdf
ML workshop part 1.pptx
Recording
10:30
→
11:00
Coffee break
30m
11:00
→
12:00
Lecture II: Key Technologies in Deep Learning - Self-supervised Learning
1h
Speaker
:
Prof.
Hung-yi Lee, 李宏毅
(
Department of Electrical Engineering, NTU
)
ML workshop part 2.pdf
ML workshop part 2.pptx
12:00
→
13:00
Lunch
1h
13:00
→
13:30
ML/AI Application Support of ASGC
30m
Speaker
:
Prof.
Eric Yen, 嚴漢偉
(
Institute of Physics, AS
)
ASGC-MLSupport-20220422.pdf
Recording
13:30
→
14:00
Our learning experience on Deep Learning in learning the 3D protein structures from cryo-EM images
30m
Speaker
:
Prof.
I-Ping Tu, 杜憶萍
(
Institute of Statistics, AS
)
cryoEM_20220422forWeb.pdf
cryoEM_20220422forWeb.pptx
Recording
14:00
→
14:30
Speech Enhancement and Voice Conversion
30m
Speaker
:
Prof.
Yu Tsao, 曹昱
(
Research Center for Information Technology, AS
)
Presentaion_v1.pdf
Presentaion_v1.pptx
Recording
14:30
→
15:00
Coffee break
30m
15:00
→
15:30
How deep learning helps in the electron identification with AMS-02 electromagnetic calorimeter
30m
Speaker
:
Dr
Hsin-Yi Chou, 周欣毅
(
IoP
)
2022.04.22_HYC_DLWorkshop.pdf
2022.04.22_HYC_DLWorkshop.pptx
Recording
15:30
→
16:00
Normalizing flows - An overview and its revolutionary potential for high-energy physics when combined with deep learning
30m
https://arxiv.org/pdf/2008.05825.pdf
Speaker
:
Dr
Thorsten Gluesenkamp
(
Friedrich-Alexander Universität Erlangen-Nürnberg
)
iop_talk_gluesenkamp.pdf
Recording
16:00
→
16:30
Discussion and Adjourn
30m