Complexity Cluster Workshop TT26
About this event
Dive into the fascinating world of complexity science at Keble's workshop.
Why you should come
AI-powered• Learn from Professor Jinchao Xu about machine learning applications in science
• Discover Dr Dan Hill's methods for approximating 2D localized patterns
• Explore Dr Daniel Csillag's gradient-free optimization techniques in infinite dimensions
Event Highlights
- •Insights from leading experts in scientific computing and machine learning
- •Focus on innovative mathematical approaches to complex systems
- •Networking opportunities with researchers from top institutions
Speakers
Professor Jinchao Xu
Director of KAUST-SRIBD Joint Lab for Scientific Computing and Machine Learning
Dr Dan Hill
Hooke Fellow, Mathematical Institute, University of Oxford
Dr Daniel Csillag
Department of Statistics, University of Oxford
Shuchen Guo
Mathematical Institute, University of Oxford
Programme
Coffee, Drinks & Refreshments
Scientific Computing and Machine Learning
Going Around in Circles: Approximating Fully Localised 2D Patterns via Radial Spatial Dynamics
Coffee, Drinks & Refreshments
Random Gradient-Free Optimization in Infinite Dimensional Spaces
From Interacting Particles to Partial Differential Equations
Discussion
Organized by: Keble College