Interfacing Mathematics and Physical Sciences through Machine Learning

Date

September 4, 2021

Location

Lecture Hall 5F, Cosmology Building, NTU  (in parallel with on-line meeting)

 

On-line meeting:https://bit.ly/38uWszy

 

※ 本會議實體及線上共同進行。因配合防疫規定,實體參與人數上限為25人。如後續因國內COVID-19疫情變化,將配合中央防疫政策辦理。

Organizers

Ming-Lun Hsieh (Academia Sinica)
Ying-Jer Kao (National Taiwan University)
Weichung Wang (National Taiwan University)
Wen-Han Hwang (National Chung Hsing University)

Aim & Scope

Machine learning has entered many scientific disciplines with great success. Algorithms and modeling tools have been developed and applied to many data processing tasks in physical sciences. Recently, it is noted it is important to design models and learning algorithms that can capture the underlying structure of the dataset. For example, symmetries inherent in the physical process are important and should be exploited to better model the data. Recent progress on multi-dimensional statistics and data dimension reduction also point to new directions in machine learning.

 

In this workshop, we bring together experts in physical sciences and mathematics to explore these topics. Through this workshop, we hope new interdisciplinary research direction can be identified and research teams can be formed. Furthermore, this will serve as an example of future collaboration between Mathematics and Physical Sciences

Agenda

09:30-10:00

報到與接待

10:00-10:05

長官致詞 – 科技部自然司羅夢凡司長致詞

10:05-10:30

交流時間 (自我介紹)

Session A
High-dimensional Data Analysis

主持人:王偉仲教授(國立臺灣大學)

10:30-10:50

盧鴻興教授 (國立陽明交通大學)

講題:Statistical Learning for AI Assisted Clinics

10:50-11:10

陳凱風教授 (國立臺灣大學)

講題:Machine learning applications in high-energy physics

11:10-11:15

休息

11:15-11:35

賴詩萍教授 (國立清華大學)

講題:Machine learning applications in Astronomy

11:35-11:55

陳瑞彬教授 (國立成功大學)

講題:Auto-tuning of Hyperparameters for Numerical Algorithms

11:55-12:10

討論

12:10-13:15

午餐  (會議大合照)

Session B
Machine Learning in Practice

主持人:高英哲教授(國立臺灣大學)

13:15-13:35

許昭萍研究員(中央研究院)

講題:Machine learning for electronic coupling in optoelectronic molecular materials

13:35-13:55

魏澤人教授(國立陽明交通大學)

講題:An Unsupervised Shape Aware Image Encoder And Its Applications

13:55-14:00

休息

14:00-14:20

張明強教授 (國立中興大學)

講題:Physics Vs. Ml, Current Development

14:20-14:40

胡偉帆教授 (國立中央大學)

講題:A Discontinuity Capturing Shallow Neural Network for Elliptic Interface Problems

14:40-15:05

討論

Session C
Dimension Reduction and Manifold Learning

主持人:謝銘倫研究員(中央研究院)

15:05-15:25

陳志偉教授 (國立中山大學)

講題:Manifold learning and dimensionality reduction

15:25-15:45

崔茂培教授 (國立臺灣大學)

講題:Data , Geometry and Randomness

15:45-16:00

討論

Session D
16:00-16:50
General Discussion

研究方向規劃與總結

Registration

Register Online  (Please login to use the service.)

* 現場參與名額因配合疫情管控措施,將視情況調整並於截止報名後另行通知。
* 將額外設立線上視訊會議平臺,提供無法到場人員共同參與。

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