Are you passionate about Mathematics, Machine Learning, and their real-world applications? Join us for our engaging Math+ML+X seminar series! 

Speaker: Yanqi Cheng, University of Cambridge

Were excited to welcome Yanqi Cheng from the University of Cambridge as our upcoming speaker.

Plug-and-Play (PnP) priors have changed inverse problem-solving by integrating pre-trained denoisers into iterative methods. However, the reliance on large datasets poses significant challenges. In this talk, we introduce Single-Shot PnP (SS-PnP) methods, enabling effective solutions with minimal data. Our approach integrates novel proximal denoisers and neural priors to preserve essential details while overcoming gradient limitations.  

Don’t miss this opportunity to explore the fascinating intersection of math and machine learning! 

November 25th,2024 @3pm

Room B626 in 双清综合楼

Poster: Math+ML+X+nov25.pdf 

Are you passionate about Mathematics, Machine Learning, and their real-world applications? Join us for our engaging Math+ML+X seminar series!

Speaker: Lipei Zhang, University of Cambridge

We’re excited to welcome Lipei Zhang from the University of Cambridge as our upcoming speaker. Lipei Zhang will present his approach that integrates brain tumour growth models using Partial Differential Equations (PDEs) as a regularisation technique within deep learning frameworks. 

Don’t miss this opportunity to explore the fascinating intersection of math and machine learning! 

November 18th,2024 @3pm

Room B626 in 双清综合楼

Poster: Math_ML_X_nov_18_2024.pdf

Are you passionate about Mathematics, Machine Learning, and their real-world applications? Join us for our engaging Math+ML+X seminar series!

Speaker: Zhanhong Ye, Peking University

We’re excited to welcome Zhanhong Ye from Peking University as our upcoming speaker. He will present on the groundbreaking topic: "PDEformer: Towards a Foundation Model for Solving PDEs." Discover how foundation models, a major trend in the field, are being harnessed to tackle Partial Differential Equations (PDEs). 

Don’t miss this opportunity to explore the fascinating intersection of math and machine learning! 

November 11th,2024 @3pm

Room B626 in 双清综合楼

Poster:  Math+ML+X_Seminar_Series_Nov_11.pdf 

We are excited to launch the Math+ML+X Seminar Series, a new platform dedicated to exploring the synergy between mathematics, machine learning, and diverse real-world applications (X). This seminar series brings together researchers at all career stages to share new ideas, foster collaboration, and showcase the latest advancements. Join us to dive into topics at the intersection of theory and practice!

NOVEMBER THEME: AI4SCIENCE

Speakers:

Haixu Wu, A Roadmap to Practical Neural PDE Solver, Tsinghua University

ChunWun Cheng, Mamba Neural Operator, University of Cambridge 

November 4th,2024 @3pm

Room B626 in 双清综合楼

Poster: Math+ML+X_Seminars.pdf