MATH-IMS Joint Applied Mathematics Colloquium Series

This MATH-IMS Joint Colloquium Series is organized by Center for Mathematical Artificial Intelligence (CMAI), under Department of Mathematics and Institute of Mathematical Sciences (IMS) at The Chinese University of Hong Kong. The colloquium series focuses on mathematics and applications of artificial intelligence, big data and related topics.



Upcoming talks

Date & Time Venue Speaker Topics Files
22 October 2021 (Fri)
10:00-11:00
(online via Zoom)
Link
Prof. Xu Jinchao
(Pennsylvania State University)
Analysis of Neural Network III: Neural Network and Numerical PDEs Poster
19 November 2021 (Fri) (online via Zoom)
Link
Prof. Beatrice Riviere
(Rice University)
TBA -



Past talks

Date & Time Speaker Topics Video Link Files
8 October 2021 (Fri)
16:00-17:00
Prof. Jose A. Carrillo
(University of Oxford)
Consensus-Based Interacting Particle Systems and Mean-field PDEs for Optimization and Sampling Link Poster
24 September 2021 (Fri)
17:30-18:30
Prof. Lorenzo Pareschi
(Ferrara)
On the mean field limit of stochastic particle optimization methods / Poster
17 September 2021 (Fri)
16:00-17:00
15:00-16:00
Prof. Denis Talay
(INRIA)
Stochastic analysis of non-linear PDEs: From probability theory to numerical simulations Link Poster
3 September 2021 (Fri)
16:00-17:00
Prof. Shen Zuowei
(NUS)
Deep Approximation via Deep Learning Link Poster
13 August 2021 (Fri)
10:00-11:00
Prof. Andrea Bertozzi
(UCLA)
Geometric Graph-Based Methods for High Dimensional Data Link Poster
23 July 2021 (Fri)
11:00-12:00
Dr. Wotao Yin
(Alibaba Group (US) Damo Academy)
Learning to Optimize Link Poster
Slides
2 July 2021 (Fri)
16:00-17:00
Prof. Xu Jinchao
(Pennsylvania State University)
Analysis of Neural Network II: Multigrid and Image Classification Link Poster
25 June 2021 (Fri)
16:00-17:00
Prof. Xu Jinchao
(Pennsylvania State University)
Analysis of Neural Network I: Finite Element Connection and Approximation Link Poster
Slides
4 June 2021 (Fri)
16:00-17:00
Prof. Benoit Perthame
(Sorbonne-Université)
Mathematical models of living tissues and the Hele-Shaw limit Link Poster
28 May 2021 (Fri)
16:00-17:00
Prof. Per Christian Hansen
(Technical University of Denmark)
Convergence and Non-Convergence of Algebraic Iterative Reconstruction Methods Link Poster
Slides
14 May 2021 (Fri)
16:00-17:00
Prof. Yuan Ya-xiang
(Chinese Academy of Sciences)
On the Convergence of Stochastic Gradient Descent with Bandwidth-based Step Size Link Poster
30 April 2021 (Fri)
15:00-16:00
Prof. Tony F. Chan
(KAUST)
A Personal and Historical View of Computational Mathematics Link Poster
Slides
16 April 2021 (Fri)
16:00-17:00
Prof. Jean-Michel Morel
(Ecole Normale Supérieure Paris-Saclay)
Can a neural network learn planar topology? Link Poster
Slides
26 March 2021 (Fri)
16:00-17:00
Prof. Peter Maass
(Bremen)
Regularization by architecture: Learning with few data and applications to CT Link Poster
Slides
19 March 2021 (Fri)
14:00-15:00
Prof. Shing-Tung Yau
(Harvard and CUHK)
The Yau-Yau Method for Nonlinear Filtering Problems Link Poster
Slides
12 March 2021 (Fri)
16:00-17:00
Prof. Bangti JIN
(University College London)
Deep Learning and Mathematics Link Poster
Slides
5 March 2021 (Fri)
10:00-11:00
Prof. Liu Jianguo
(Duke)
Contact line dynamics of droplets with surfactant: variational derivation and computations Link Poster
26 Feb 2021 (Fri)
10:00-11:00
Prof. Chun Liu
(Illinois Institute of Technology)
Energetic Variational Approaches (EnVarA) for Active Materials and Reactive Fluids Link Poster
5 Feb 2021 (Fri)
10:00-11:00
Prof. Qiang Du
(Columbia)
Numerical Integrators for Learning Dynamics Link Poster
26 Jan 2021 (Tue)
16:00-17:00
Prof. Ron Kimmel
(Technion)
On Learning Geometry, Towards a Semi-supervised Axiomatic Approach Link Poster
Slides
22 Jan 2021 (Fri)
9:30-10:30
Prof. Andrew Stuart
(Caltech)
Blending Data And Models: Kalman Based Approaches Link Poster
Slides
18 Dec 2020 (Fri)
11:00-12:00
Prof. Thomas Hou
(Caltech)
Asymptotic escape of saddles and unified global analysis for low-rank matrix recovery Link Poster
20 Nov 2020 (Fri)
10:00-11:00
Prof. Shi Jin
(Shanghai Jiao Tong University)
Random Batch Methods for classical and quantum
N-body problems
/ Poster
Slides
6 Nov 2020 (Fri)
10:00-11:00
Prof. Björn Engquist
(U.T. Austin)
Global convergence of stochastic gradient descent / Poster
30 Oct 2020 (Fri)
16:00-17:00
Prof. Pierre Degond
(Imperial College London)
Topological protection in collective dynamics / Poster
16 Oct 2020 (Fri)
10:00-11:00
Prof. Weinan E
(Princeton University)
Machine Learning and Computational Mathematics Link Poster
Slides
9 Oct 2020 (Fri)
16:00-17:00
Prof. Jan Hesthaven
(EPFL)
Nonintrusive Reduced Order Models using Physics Informed Neural Networks / Poster
25 Sep 2020 (Fri)
10:00-11:00
Prof. Chi-Wang Shu
(Brown University)
Stability of Time Discretizations for Semi-discrete High Order Schemes for Time-dependent PDEs / Poster
Slides
11 Sep 2020 (Fri)
09:00-10:00
Prof. Jianfeng Lu
(Duke University)
Quantitative Convergence Analysis of Hypocoercive Sampling Dynamics Link Poster
Slides
28 Aug 2020 (Fri)
15:00-16:00
Prof. Zhenjie Ren
(Université Paris-Dauphine)
Training Neural Networks and Mean-field Langevin Dynamics Link Poster
Slides
14 Aug 2020 (Fri)
15:00-16:00
Prof. Jian-Feng Cai
(HKUST)
Landscape Analysis of Non-convex Optimizations in Phase Retrieval Link Poster
Slides
31 Jul 2020 (Fri)
09:00-10:00
Prof. David Xianfeng Gu
(Stony Brook University)
A Geometric Understanding of Generative Models Link Poster
Slides