Portrait de Wassim Tenachi

Wassim Tenachi

wassim.tenachi@mila.quebec
Postdoctorat - UdeM
Superviseur⋅e principal⋅e
Yashar Hezaveh
Co-supervisor
Pierre-Luc Bacon
Sujets de recherche
Apprentissage de la programmation
Apprentissage multimodal
Apprentissage par renforcement
Apprentissage sur graphes
Astrophysique
Astrophysique computationnelle
Démonstration automatique de théorèmes
IA pour la science
Raisonnement
Traitement du langage naturel
Google Scholar
GitHub

Publications

Do Tabular Foundation Models Know Physics? Contamination, Units, and the Deterministic Limit
Wassim Tenachi
Yashar Hezaveh
Laurence Perreault Levasseur
Pierre-Luc Bacon
Tabular foundation models (TFMs) learn to fill in tables the way language models fill in text, and tables are arguably the format in which m… (voir plus)ost physical measurement arrives. Did they learn any physics in the process? They are Bayesian by construction, so the question is what their prior contains. We probe it directly, evaluating four of them (TabPFN-3, TabICLv2, TabDPT and Real-TabPFN-2.5) against six baselines on datasets sampled from 316 physical equations, in and out of domain. TFMs dominate, out of the box and after tuning. But we show that their prior can represent neither a noiseless mechanism nor physical units, which is why they interpolate physics without yet being able to act as physical models.
2026-12-30
OpenReview (publié)
doi.org
openreview.net