Florence d'Alché-Buc, HOMEPAGE

Full professor, Télécom ParisTech, Institut Mines-Télécom
Signal, Statistics and Machine Learning Group,
Image, Data and Signal Dept, LTCI

Head of DigiCosme, an ANR Excellence laboratory in Paris-Saclay
Member of the board of DATAIA an ANR Convergence Institute

Research Interests
Machine Learning & Artificial Intelligence, bioinformatics & medical applications.
Subdomains: (Operator-valued) Kernel Methods, Structured Output Prediction, Reliable Machine Learning, Dynamical Systems Modeling.

And also
Professeur des Universités en détachement, Université d'Evry/Université Paris-Saclay.
Associated member and founder of the group AROBAS at IBISC, Université d'Evry/Université Paris-Saclay.
Occasional collaborator of CMAP, Ecole Polytechnique.

Events

Talk at Horizon Maths about AI and ML, Nov 23, 2018.
Talk at Journées France-IA, Oct 17, 2018.
Member of Programme Committee of Workshop on Machine Learning and Explainability, Orléans, Oct 8.
Meetup Women in Machine Learning, Sept 26, 2018.
Talk at Observatoire AAF du digital, Sept 19, 2018: Artificial Intelligence and Machine Learning, successes and challenges.
Sept 18, 2018: Our paper "
Temporal clustering analysis of endothelial cell gene expression following exposure to a conventional radiotherapy dose fraction using Gaussian process clustering" with Markus Heinonen and Olivier Guipaud and colleagues from IRSN has just been accepted to Plos one.
Organizing Int. Workshop on Machine Learning and AI, Chair Machine Learning for Big Data, Télécom ParisTech, Paris, 17-18 Sept 2018.
Member of program committee of
3rd Junior Conference on Data Science and Engineering, Orsay, 13-14 Sept 2018.
Talk at
Workshop on Gaussian Processes, Sheffield University, Sept 6, 2018.
  • Our paper A structured Prediction Approach for Label Ranking accepted at NIPS 2018.
Member of program committee of Data Summer School, Palaiseau, May 28 - June 1, 2018
Senior Area Chair for NIPS 2018 - July-Aug 2018
Déjeuner scientifique aux Journées Statistiques 2018 (31 Mai 2018)
Our paper on Structured Output Learning with Abstention, accepted at
ICML 2018.


Address: LTCI CNRS, Télécom ParisTech
46 rue Barrault, 75013 Paris - FRANCE
Phone : 33145817976
Email: florence dot dalche at telecom-paristech.fr