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HOME/PEOPLE/PEGAH KHAYATAN
// PERSON

Pegah Khayatan

ROLE LEAD AUTHORMENTIONS 2LAST SEEN JULY 21, 2026
// BIO

Pegah Khayatan is a research engineer at ISIR, Sorbonne University, working under the supervision of Matthieu Cord. She is known for her research on representation steering and interpretability in vision-language-action models and multimodal large language models. She is a lead author of DiMaS, a distribution-matching steering strategy for flow-matching VLAs, and has also published work on analyzing finetuning representation shift for multimodal LLM steering. She holds an engineering degree from École Polytechnique and has interned at Valeo and the Vita Lab at EPFL.

// RECENT MENTIONS
// SIGNALS
2 SIGNALS
01
product·arXiv Physical AI·JULY 21, 2026

DiMaS: a Distribution-Matching Steering strategy tailored to flow-matching VLAs, which transports between representation distributions rather than shifting along a fixed direction

Source
02
mention·arXiv Physical AI·JULY 21, 2026

behavioral features are linearly decodable but not linearly steerable, which motivates the distribution-matching design of DiMaS

Source

AI-extracted from podcast / newsletter / paper summaries. May contain errors.

Pegah Khayatan · Lead Author — 2 mentions on Teahose