Parallel Session 5 :: Tuesday, 12/17, 8:00-10:00                 Capital Suite 21 A
8:00-8:30	Jianbin Yang (Hohai University, China, Peoples Rep of China)  Approximation from Noisy and Blurring Data

8:30-9:00

Yu Cao (Shanghai Jiao Tong University, Peoples Rep of China)  Exploring the Optimal Choice for Generative Processes in Diffusion Models

9:30-10:00

Zhongjian Wang (Nanyang Technological University, Singapore)  Towards generative diffusion models in infinite dimension

Parallel Session 9 :: Wednesday, 12/18, 8:00-10:00                  Capital Suite 6
8:30-9:00	Shuyang Ling (NYU Shanghai, Peoples Rep of China)  Beyond Unconstrained Features: Neural Collapse for Shallow Neural Networks with General Data

Parallel Session 10 :: Wednesday, 12/18, 12:30-14:30                 Capital Suite 6
12:30-13:00	Yuqing Liu (City University of Hong Kong, Hong Kong)  Error Analysis of Shallow Neural Network on Korobov Space

13:00-13:30

Tong Mao (King Abdullah University of Science and Technology, Saudi Arabia)  Approximation Rates for Shallow ReLUk Neural Networks on Sobolev Spaces via the Radon Transform

13:30-14:00

Nathanael Tepakbong (City University of Hong Kong, Hong Kong)  Solving for the Mean Escape Time with Operator Learning and Deep Neural Networks

Parallel Session 11 :: Wednesday, 12/18, 14:45-16:45                  Capital Suite 6
15:45-16:15	Qianxiao Li (National University of Singapore, Singapore)  Learning, approximation and control

Parallel Session 12 :: Wednesday, 12/18, 17:00-18:30                Capital Suite 6
17:00-17:30	Chengyu LIU (City University of Hong Kong, Hong Kong)  A Generative Model-Based Variational Method for Wasserstein Gradient Flow

17:30-18:00

Sho Sonoda (RIKEN, Japan)  Deep Ridgelet Transform: Harmonic Analysis for Deep Neural Network