Mathias Sablé-Meyer

Homepage of a Normalien PhD student at PSL/Collège de France

Present situation

Photo ID Credit to Kaspar Ravel for this picture.

Starting a Ph.D under the supervision of Stanislas Dehaene at PSL/Collège de France, with a lab at NeuroSpin, CEA. Working title: “The cognitive representation of structured sequences: an exploration of humans’ outstanding capacity for abstraction through non representative geometry”.

Reach me: Academic email

Highlights of the past situation

During the course of my higher education, I was a visiting researcher for half a year in the following places:

Master:

Past situation

Click to see more details about my academic path.

2017-2016 — Research @ MIT with Josh Tenenbaum

“Library Learning for Neurally-Guided Bayesian Program Induction”, one paper accepted, moving toward more cognitive science stuff, ongoing.

2017-2016 — Research @ ENS with Salvador Mascarenhas

Reasoners as mini-scientists: hypothesis testing and pragmatics. Two articles in prep. from this work.

2016-2017 — M2 @ CogMaster

Internship at NeuroSpin with Stanislas Dehaene, working on behavioural research and psychophysics of structured sequences in the visual modality. Academic report bellow, there is an article in prep..

2015-2016 — Gap year @ Mediterranean Sea

Gap year: a boat in Ithaca, Félicien, a fire. A dinner at Ligia, Greece with Félicien.

There’s a french blog about it. I went sailing and climbing for a whole year with a friend.

2014-2015 — M1 @ MPRI

Internship in Oxford, UK with Luke Ong, working on semantics of meta-programming and translations from/to other paradigms withing lambda-calculus. Academic report bellow.

2013-2014 — L3 @ ENS Cachan

Internship in INRIA, Lille with Romaric Gaudel, working on machine learning and cold-start versions of the multi-armed bandit problem. Academic report bellow.

Other occupations of my time

Climbing

Whenever I can, here and there, cliffs, rocks, indoor, boulder or just trees.

Tinkering

Playing around breaking stuff to understand how it works. A few selected examples:

Reading, traveling around, listening to some music

Publications

Peer reviewed articles

  • Kevin Ellis, Lucas Morales, Mathias Sablé-Meyer, Armando Solar-Lezama, Joshua B. Tenenbaum. Library Learning for Neurally-Guided Bayesian Program Induction. NIPS 2018. Spotlight. To be linked soon.

Talks & Seminars

Academic Reports

Compression Structural compression of visual input?

Misc & Non Serious

Circuit Spare time electronic stuff.

  • I quite enjoy electronics from time to time. The documentation (non serious!) for a small project I realised during my time at NeuroSpin — reverse engineer a food distribution system to interface it with a computer through USB.
  • A course from CogMaster was validated through a mini thesis. It’s about Mathematical Intuitions and Monsters (in French).
  • Every once in a while I put something in this modest blog.
  • More on the current background?