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 |
| 9 December 2022 (Fri) 16:00-17:00 |
Prof. Gabriele Steidl (Technische Universitat Berlin) |
Normalizing Flows for Learning from Few Images | Link | Poster |
| 11 November 2022 (Fri) 16:00-17:00 |
Prof. Simon Arridge (University College London) |
Learned Solvers for Forward and Backward Image Flow Schemes | Link | Poster |
| 28 October 2022 (Fri) 14:00-15:00 |
Dr. Xavier Bresson (Head of Graph Machine Learning at Sea Group) |
Learning to Untangle Genome Assembly with Graph Convolutional Networks | Link | Poster |
| 14 October 2022 (Fri) 15:00-16:00 |
Prof. Yinyu Ye (Stanford University) |
Large-Scale Convex and Nonconvex Optimization in Data Science | Link | Poster
Slides |
| 23 September 2022 (Fri) 10:00-11:00 |
Prof. Houman Owhadi (California Institute of Technology) | Computational Graph Completion | Link | Poster |
| 9 September 2022 (Fri) 10:00-11:00 |
Prof. Yue Lu (Harvard University) |
Understanding the Universality Phenomena in High- Dimensional Estimation and Learning: Some Recent Progresses | Link | Poster |
| 26 August 2022 (Fri) 16:00-17:00 |
Prof. Siddhartha Mishra (ETH Zurich) |
Deep Learning and Computations of PDEs | Link | Poster |
| 8 July 2022 (Fri) 16:00-17:00 |
Professor Carola Bibiane Schonlieb (University of Cambridge) |
Mathematical imaging: From geometric PDEs and variational modelling to deep learning for images | Link | Poster
Slides |
| 20 May 2022 (Fri) 09:00-10:00 |
Professor Guang Lin (Purdue University) |
Towards Third Wave AI: Interpretable, Robust Trustworthy Machine Learning for Diverse Applications in Science and Engineering | Link | Poster
Slides |
| 6 May 2022 (Fri) 16:00-17:00 |
Prof. Yalchin Efendiev (Texas A&M) |
Modeling subgrid effects and temporal splitting in machine learning | Link | Poster |
| 22 April 2022 (Fri) 17:00-18:00 |
Prof. Arnulf Jentzen (The Chinese University of Hong Kong, Shenzhen (China) University of Munster (Germany) ) |
Overcoming the curse of dimensionality: from nonlinear Monte Carlo to deep learning | Link | Poster
Slides |
| 1 April 2022 (Fri) 09:00-10:00 |
Prof. Alfred Hero (University of Michigan) |
Immuno-mimetic Deep Neural Networks | Link | Poster
Slides |
| 18 March 2022 (Fri) 10:00-11:00 |
Prof. Hongkai Zhao (Duke University) |
How much can one learn a PDE from its solution data? | Link | Poster
Slides |
| 11 March 2022 (Fri) 17:00-18:00 |
Prof. Jalal FADILI (ENSI Caen) |
A dynamical system perspective of optimization in data science | Link | Poster
Slides |
| 18 February 2022 (Fri) 16:00-17:00 |
Prof. Geordie Williamson (University of Sydney) |
Combinatorial invariance conjecture and machine learning | / | Poster |
| 4 February 2022 (Fri) 11:00-12:00 |
Prof. Lexing Ying (Stanford University) |
On optimization formulations and algorithms of Markov decision problems | Link | Poster
Slides |
| 21 January 2022 (Fri) 16:00-17:00 |
Prof. Endre Suli (University of Oxford) |
High-dimensional McKean-Vlasov diffusion and the well-posedness of kinetic models of dilute polymers | Link | Poster
Slides |