Can Pouliquen

Ph.D. student in Machine Learning

Ecole Normale Supérieure de Lyon

can.pouliquen \AT\ ens-lyon \DOT\ fr


Last update: Feb. 2025

Quick bio

hey it's me

Hello, I am a 3rd year PhD student in machine learning at the Ecole Normale Supérieure de Lyon under the supervision of Mathurin Massias, Titouan Vayer and Paulo Gonçalves. I am a part of OCKHAM, a joint team of Inria1 and CNRS2, led by Rémi Gribonval.

Previously, I was a research intern in deep learning in NeuroAI, a CNRS lab in Toulouse3, under the supervision of Andrea Alamia and Rufin VanRullen.

Before that, we may have met in Berlin, Montpellier, Lyon, Istanbul, Beyrouth, Amman or Cairo. Hit me up if that's the case !

Outside of research, I enjoy hiking, running, food, beers, and "la belle vie" with my girlfriend4.

  1. French national institute of research in informatics and applied mathematics
  2. French national center of scientific research
  3. The "pink city" in beautiful South-West, France
  4. The picture above is us on top of the Mt. Chaberton, France

Research

I work on machine learning methods for structure discovery (i.e. learning to unveil hidden graphical structures in data). Currently, I am trying to bridge the gap between optimization-based approaches and deep learning-based approaches to do so.

Here is a list of links to my publications:

Teaching

ENS de Lyon: Convex optimization M1 (2023-2024)
TA of Mathurin Massias, 12h

CPE Lyon: Optimization algorithms M1 (2023-2024)
TA of Marion Foare, 20h

Ecole Centrale de Lyon: Probability theory L3 (2023-2024)
TA of Céline Helbert and Christophette Blanchet, 32h

Talks

Contact

To get in touch: