The ENS and CFM are pleased to celebrate the 1-year anniversary of the
CFM-ENS “Modèles et Sciences des Données” Chair with a conference taking place on December 8th, from 12:00 to 17:00 (with lunch buffet at 13:00) in the Salle Jaurès at Ecole Normale Superieure, 29 rue d’Ulm, in Paris.
The conference is centered on the broad topic of data science, with the intention of bringing together researchers from diverse
backgrounds, including mathematics, computer science, physics, chemistry, and neurosciences, who have a common interest in tackling complex and large-scale data problems.
This year, several invited speakers will put a particular focus on the theme “Physics & machine learning”.
Friday, December 8th 2017, 12:00-17:00.
Salle Jaurès, 29 rue d’Ulm.
- 12:00-12:30: Elizabeth Purdom (Berkeley, visiting ENS-DMA) Statistical challenges in analyzing high-dimensional experiments in molecular biology
- 12:30-13:00: Bing Huang (University of Basel) Scalable Quantum Machine Learning models
- 13:00-14:00: Lunch (buffet)
- 14:00-14:30: Nicolas Keriven (ENS-CFM Laplace postdoc) Sketching for Large-Scale Learning of Mixture Models
- 15:00-15:30: Victor Vianu (U.C. San Diego, visiting ENS-DMA) Analysis of Data-Centric Workflows
- 14:30-15:00: Steve Hardiman (CFM) Order books: financial market microstructure
- 15:30-16:00: Coffee break
- 16:00-16:30: François Landes (Simons Collaboration & ENS) How to use Machine Learning to understand the relationship between local structure and relaxation in glassy systems
- 16:30-17:00: Felix Patzelt (CFM) Universal nonlinear features of intra-day price impact - empirics and modelling