| Jul 27th |
|---|
| 09:00 | Registration & Opening Remarks |
| Medical Applications |
| 09:30 | Keynote:
Prof. Chris Williams | Assisting Scientific Discovery with AI |
| 10:30 | Chris Walsh | Ensuring Accurate Stain Reproduction in Deep Generative Networks for Virtual Immunohistochemistry |
| 10:50 | Dr. Ke Yuan | Self-supervised learning discovers novel morphological clusters linked to patient outcome and molecular phenotypes |
| 11:10 | Dr. Simone Stumpf | Interpretability, Fairness, Controllability - and the process of getting to Responsible AI |
| 11:30 | Tea, coffee & posters |
| Physics Applications |
| 12:00 | Keynote:
Dr. Brendan Tracey | Tokamak control with Reinforcement Learning |
| 13:00 | Dr. Christopher Osborne | Learning to Invert Solar Flares with Invertible Neural Networks. |
| 13:20 | Dr. Haobo Li | Remote heart-sound monitoring and biometric identification using laser-camera |
| 13:40 | Dr. John Veitch | Accelerating Bayesian Inference with Machine Learning |
| 14:00 | Lunch and posters |
| Theoretical Machine Learning & Neuroscience |
| 15:00 | Keynote:
Dr. Michel Besserve | Can machine learning close the gap between brain data and neural mechanisms? |
| 16:00 | Dr. Chris Daube | Quantitatively comparing predictive models with information theoretic measures |
| 16:20 | Dr. Fani Deligianni | Clinical Decision Support Systems: Beyond Model Performance |
| 16:40 | Dr. Paul Henderson | Structured generative models for vision |
| 17:00 | Closing remarks |
