Enumerative Algebraic Geometry en LibertÉ – inspired by GAeL
EAGLE is generously funded by an Isaac Newton Institute Network Grant.
Adapted from the GAeL website:
“Géométrie Algébrique en Liberté, also known as GAeL, is an annual workshop .. [whose]… aim is to … give [participants] an opportunity to discuss freely without having to fear that their questions or viewpoints might be silly.”
Code of conduct
Next Event
EAGLE – learn to fly
Aston Webb Dome Lecture Theatre
University of Birmingham, February 17-18, 2025
Train station: University (Birmingham) (UNI)
Campus map
Directions
Google Maps to get to Aston Webb Building and campus map
Enter via blue arrow
Turn right, then go up, and up some more
Follow signs for Dome Lecture Theatre (red arrow)
Format
– Most speakers give 20min talks introducing a key idea, a key technique or a key result that they think every EAGLEr should know.
– Focus is on developing a deeper understanding. Talks need not be related to speaker’s own research.
– 20min talks are followed by a discussion – please actively participate!
– Ample time for discussions, both structured and unstructured.
– Talk by Jeongseok Oh is a friendly introduction to enumerative geometry.
Participate
Send me an email at address: Tell me your reasons for attending and the funding you need (typically return train and hotel 17-18).
Schedule
Mon 17 Feb 25
11:00 Bring an idea and let’s talk about it
13:30 Jeongseok Oh (Seoul National University)
Introduction to Enumerative Geometry
I will survey some ideas and developments originating from Donaldson that have contributed to the rapid development of enumerative geometry in recent years.
14:30 Coffee and Fresh Fruits
15:00 Ai Guan (Birmingham)
A Quick Tour of Derived Deformation Theory
16:00 Daniel Platt (Imperial College)
Machine Learning to solve PDEs
Numerically solving PDEs with computer aid is one of the most important areas of mathematics with countless real-life applications and different approaches to it. One recent approach is using neural networks as a PDE solver. I will explain the basic idea, called Physics-informed Neural Networks. I will then briefly explain the main application in pure mathematics I am studying, namely approximating Ricci-flat metrics. Time permitting, I will mention some advantages and problems of using neural networks as a PDE solver, though most of this may be left for the discussion session.
Tue 18 Feb 25
09:30 Coffee and fresh fruits
10:00 Yue Ren (Durham University)
Non-archimedean geometry with a view towards hierarchical data analysis
11:00 Sara Veneziale (Imperial)
Reinforcement learning approaches in combinatorics
12:00 Bhavik Mehta (Imperial)
Formalising proofs in mathematics
14:30 Coffee and fresh fruits
15:00 Structured discussion: everyone welcome to give short (5min) introductions to a research question.
16:00 Pierre Descombes (Imperial)
Wall crossing and birational geometry
Michel van Garrel 