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.
| Date & Time | Speaker | Topics | Video Link | Files |
| 17 December 2021 (Fri) 10:00-11:00 |
Prof. Kening Lu (Brigham Young University) |
Chaotic Behavior of Dynamical Systems Driven by an External Forcing | Link | Poster
Slides |
| 3 December 2021 (Fri) 17:00-18:00 |
Prof. Michael Hintermuller (Humboldt-Universitat zu Berlin) |
Quantitative Imaging: Physics integrated and machine learning based models in MRI | Link | Poster
Slides |
| 19 November 2021 (Fri) 10:00-11:00 |
Prof. Beatrice Riviere (Rice University) |
On the numerical solution of two-phase flows in porous media | / | Poster |
| 22 October 2021 (Fri) 10:00-11:00 |
Prof. Xu Jinchao (Pennsylvania State University) |
Analysis of Neural Network III: Neural Network and Numerical PDEs | Link | Poster
Slides |
| 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
Slides |
| 17 September 2021 (Fri) 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
Slides |
| 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-Universite) |
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 Superieure 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 |