Planning

Tue. 15 Wed. 16 Thu. 17

	Tue. 15	Wed. 16	Thu. 17
09:00 10:00 11:00 12:00 13:00 14:00 15:00 16:00 17:00	Welcome / coffee 13:00 - 13:50 (50min) Welcome / coffee Welcome / coffee Introduction and practical information. 13:50 - 14:00 (10min) Introduction and practical information. Keynote 14:00 - 15:00 (1h) Keynote Speaker: Gabriel Peyré. Title: Optimal Transport and its Applications for Single Cell Genomics Coffee Break 15:00 - 15:30 (30min) Coffee Break Keynote 15:30 - 16:30 (1h) Keynote Speaker: Bertrand Thirion. Title: Enhancing our understanding of brain function with machine learning on large-scale data repositories. Keynote 16:30 - 17:30 (1h) Keynote Speaker: Stephen Becker. Title: Introduction to compressed sensing and matrix completion	Keynote 9:00 - 10:00 (1h) Keynote Speaker: Flora Jay. Title: Digging Historical Diversity Patterns out of Large-Scale Genomic Data using Exchangeable and Generative Neural Networks Break 10:00 - 10:30 (30min) Break Keynote 10:30 - 11:30 (1h) Keynote Speaker: Julien Chiquet. Title: The Poisson-Lognormal Model as a Versatile Framework for the Joint Analysis of Species Abundances Keynote 11:30 - 12:30 (1h) Keynote Speaker: Michael Blum. Title: Machine Learning applications in personalized medicine. Lunch 12:30 - 14:00 (1h30) Lunch Keynote 14:00 - 15:00 (1h) Keynote Speaker: Emmanuel Faure. Title: MorphoDeep : a toolbox to curate fluorescence microscopy images Break 15:00 - 15:30 (30min) Break Keynote 15:30 - 16:30 (1h) Keynote Speaker: Nathalie Vialaneix. Title: Multi-omics data integration methods: kernel and other machine learning approaches	Keynote 9:00 - 10:00 (1h) Keynote Speaker: Yun S. Song. Title: Improving Variant Effect Predictions using Language Models and Cross-Protein Transfer Learning Break 10:00 - 10:30 (30min) Break Keynote 10:30 - 11:30 (1h) Keynote Speaker: Charles-Henri Lecellier. Title: Machine learning to probe novel regulatory elements in the human genome Keynote 11:30 - 12:30 (1h) Keynote Speaker: Diego Marcos. Title: Evaluating plant trait descriptions crawled from the Web. Lunch 12:30 - 14:00 (1h30) Lunch Keynote 14:00 - 15:00 (1h) Keynote Speaker: Sophie Donnet. Title: Modeling collections of networks by stochastic block models. Application in ecology and sociology. Keynote 15:00 - 16:00 (1h) Keynote Speaker: Tim Landgraf. Title: BeesBook: Machine learning for the analysis of honeybee social behavior Break 16:00 - 16:30 (30min) Break Keynote 16:30 - 17:30 (1h) Keynote Speaker: Daniele Silvestro. Title: Using artificial intelligence to predict future biodiversity trends and guide conservation efforts

RSS Feed | Privacy | Accessibility