Day 1
| | | |
| 14:00 - 14:10 | Welcome | Olivier Sand | Slides
|
| 14:10 - 14:20 | Icebreaking activity | Bérénice Batut
| Cards
|
| 14:20 - 14:50 | Participant presentations | | Slides |
| 14:50 - 18:50 | Intro to Machine Learning (foundational aspects)
| Wandrille Duchemin | Tutorial |
| 14:50 - 15:50 | General sklearn syntax intro +
| | |
| 15:50 - 16:10 | Coffee break | |
|
| 16:10 - 16:55 | Overfit/underfit, the need for regularization,
cross validation and a test set | | |
| 16:55 - 17:40 | Hands-on: overfit/underfit, the need for regularization,
cross validation and a test set | |
|
| 17:40 - 17:50 | Short break | | |
| 17:50 - 18:20 | Metrics and imbalance | | |
| 18:20 - 18:50 | Hands-on: Metrics and imbalance | | |
| 19:30 | Dinner | | |
| Day 2 | | | |
| 09:00 - 09:15 | Recap from day 1 | Wandrille Duchemin | |
| 09:15 - 09:30 | ELIXIR | Fotis Psomopoulos | |
| 09:30 - 12:30 | Intro to Neural networks | Ralf Gabriels & Hari Ramadasan | Slides |
| 09:30 - 10:30 | A practical intro to neural networks with PyTorch | | GitHub, GCollab |
| 10:30 - 11:00 | Coffee break | | |
| 11:00 - 12:30 | A practical intro to neural networks with PyTorch | | GCollab |
| 12:30 - 14:00 | Lunch | | |
| 14:00 - 17:30 | Intro to Neural Networks (continued) | | Slides |
| 14:00 - 16:00 | Convolutional neural networks | | GitHub, GCollab |
| 16:00 - 16:30 | Coffee break | | |
| 16:30 - 17:30 | Recurrent neural networks & attention mechanisms | | GitHub, GCollab |
| 19h30 | Dinner | | |
| Day 3 | | | |
| 09:00 - 09:15 | Recap from day 2 | Ralf Gabriels & Hari Ramadasan | |
| 09:15 - 12:30 | Intro to GAI and LLM | Raphaël Mourad
| Slides |
| 09:15 - 10:30 | Introduction to LLM | | |
| 10:30 - 11:00 | Coffee break | | |
| 11:00 - 11:45 | Pretraining LLM for DNA - hands on | | Tutorial |
| 11:45 - 12:30 | Hands-on: Finetuning LLM,
zeroshot prediction for DNA variants,
synthetic DNA sequence generation | | Tutorial
Tutorial
Tutorial |
| 12:30 - 14:00 | Lunch | | |
| 14:00 - 17:30 | Regulations/standards for AI - DOME | Fotis Psomopoulos | Tutorial |
| 14:00 - 14:30 | Introduction to common challenges
in current AI/ML applications | | |
| 14:30 - 15:00 | Hands-on: group activity;
review selected articles
and assess the (potential) issues - if any | | |
| 15:00 - 15:15 | Introduction to the DOME
recommendations | | |
| 15:15 - 16:00 | Hands-on:
annotation of the previously selected articles
- assessment of the FAIR aspects - part 1 | | DOME |
| 16:00 - 16:30 | Coffee break | | |
| 16:30 - 17:00 | Hands-on:
annotation of the previously selected articles
- assessment of the FAIR aspects - part 2 | | |
| 17:00 - 17:30 | Review of the key points of the AI Act
and the GenAI guidelines | | |
| 18:45 | Savoyard Apéritif | | |
| 19:30 | Savoyard Dinner | | |
| Day 4 | | | |
| 09:30 - 12:30 | General recap / Supplementary exercises | All | |
| 09:30 - 10:20 | Revision/extra material | | |
| 10:20 - 10:50 | Coffee break | | |
| 10:50 - 12:10 | Revision/extra material
| | |
| 12:10 - 12:30 | Short presentation datasets | | |
| 12h30 - 14:00 | Lunch | | |
| 14:00 - 17:00 | Bring Your Own Question/Data/Model | All | |
| 14:00 - 16:00 | Group work on chosen datasets | | |
| 16:00 - 16:30 | Coffee break | | |
| 16:30 - 18:30 | Walk | | |
| 19:30 | Dinner | | |
| Day 5 | | | |
| 09:00 - 10:30 | Group work | | |
| 10:30 - 11:00 | Coffee break | | |
| 11:00 - 12:00 | Group presentations | | |
| 12:00 | Lunch | | |