From Graph Neural Networks to Explainable AI: comprehending and trusting Machine Learning algorithms

Contribution List

8. Welcome, introduction and useful info

Monica D'Onofrio

20/09/2023, 13:00

9. Colab primer GNN

20/09/2023, 15:15

Designing (graph) neural networks

https://github.com/alessiodevoto/gnns_xai_liverpool

6. Constraining the Complex Relationships Between Galaxies and their Dark Matter Haloes with Machine Learning

Mr Ryan Roberts (LJMU)

20/09/2023, 16:45

Flash talks - tell us about your project

5. Improving Gamma ray image quality from the SIGMA detector

Mr Owain Griffiths (Liverpool)

20/09/2023, 16:50

Flash talks - tell us about your project

3. Higgs boson pair production at the LHC: (h->bb)+(h->tautau) final states

Carl Gwilliam

20/09/2023, 17:05

Flash talks - tell us about your project

4. GNN for SUSY searches: the Wh + MET channel

Joseph Carmignani

20/09/2023, 17:10

Flash talks - tell us about your project

7. Tau Identification and Classification with GNN - how to improve

Robert McNulty

20/09/2023, 17:15

Flash talks - tell us about your project

2. Keynote talk: Actionable and responsible AI in medicine

Prof. Pietro Liò (University of Cambridge)

21/09/2023, 17:30

In this talk Professor Lio will present applications of AI in medicine, focusing on how to build a digital patient twin using graph and hypergraph representation learning and considering physiological (cardiovascular), clinical (inflammation) and molecular variables (multi omics and genetics). He will discuss methodologies that help keeping the clinicians in the loop to avoid excessive...

1. Conclusive remarks and Close-out

22/09/2023, 12:00