Schedule

All lectures will be held at Skempton Lecture Hall (LT 164)

Time	Monday 13 July	Tuesday 14 July	Wednesday 15 July	Thursday 16 July	Friday 17 July
8:00 - 9:00	Registration + Welcome Breakfast Royal College of Music
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 Ilkan 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 Snacks / Drinks		Social Event: Company night at Scale Space London
18:00 - 18:30				Social Event: Blues night at the Blues Kitchen Shoreditch
From 18:30		Social Event: Bouldering White City

Directions

South Kensington Campus Map

Skempton Building, Level 2 Map

City and Guilds Building (CAGB), Level 2 Map

Huxley Building, Level 3 Map

Sir Alexander Fleming (SAF) Building Map