Schedule

Time Monday 13 July Tuesday 14 July Wednesday 15 July Thursday 16 July Friday 17 July
8:00 - 9:00 Registration + Welcome Breakfast
9:00 - 9:30 Tea and coffee Tea and coffee Tea and coffee Tea and coffee
9:30 - 10:30 Tutorial:
Pascal Welke
A Tale of Graph Representation Learning
Talk:
Xiaowen Dong
Learning Graphs from Data
Tutorial:
Giovanni Marchetti
Algebraic Geometry of Deep Learning
Talk:
Stephanie Jegelka
Neural parameter symmetries: Learning on LoRAs, breaking parameter symmetries and the effect of data
Talk:
Olga Fink
Momentum-Conserving Physics-Informed Graph Neural Networks for Dynamical Systems
10:30 - 11:00 Tea and coffee Tea and coffee Tea and coffee Tea and coffee Project presentations
11:00 - 12:00 Tutorial:
Soledad Villar
Equivariant machine learning on any-size inputs and connections to hyperparameter transfer
Talk:
Dorina Thanou
Learning Graphs from Data
Talk:
Nicholas Sharp
Discrete Structures in 3D Geometric Learning
Talk:
Ismail Ceylan
Graph Foundation Models: What Transfers Across Graphs, Relations, and Tasks
12:00 - 13:00 Lunch break Lunch break Group photo + Lunch break Lunch break
13:00 - 17:00 Project time Project time Afternoon off
(project rooms still available for project time if desired)
Project time Picnic in Hyde Park
17:00 - 18:00 Poster session
Social Event:
Company night
18:00 - 18:30 Social Event:
Blues night
From 18:30 Social Event:
Bouldering at White City

Directions

South Kensington Campus Map

City and Guilds Building (CAGB), Level 2 Map

Huxley Building, Level 3 Map

Skempton Building, Level 2 Map

Sir Alexander Fleming (SAF) Building Map