Tamim El Ahmad
 |
PhD |
About me
I have recently obtained my PhD from Télécom Paris under the supervision of Florence d'Alché-Buc and Pierre Laforgue.
My work focuses on leveraging random projections to scale kernel methods up to large datasets and combine them with deep neural networks to solve structured prediction.
Previously, I jointly graduated from Mines Saint-Etienne and Master M2 MVA at ENS Paris-Saclay.
You can find more about my background in my resume.
Research Interests
I'm globally interested in Machine Learning, and for the moment focus my attention on
Kernel Methods and Sketching Algorithms
Structured Prediction
Statistical Learning Theory
Deep Learning
My list of publications is available here.
News
June 24: Our work on hybrid deep learning / kernel methods for structured prediction got accepted at ECML PKDD (joint work with J. Yang, P. Laforgue and F. d'Alché-Buc)!
Jan. 24: Our work on sketching methods for structured prediction got accepted at AISTATS (joint work with L. Brogat-Motte, P. Laforgue and F. d'Alché-Buc)!
Sep. 23: Our work on
-sparsified sketches for kernel methods got accepted at TMLR (joint work with P. Laforgue and F. d'Alché-Buc)!