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Researcher

Itai Gat

IG

Researcher at Meta

Gat develops generative models for information represented as discrete units, such as words and compressed audio. His work on discrete flow matching adapts a powerful image-generation approach to language and other sequences, while projects such as MAGNeT explore controllable music and audio generation.

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Background

Current role
Researcher
About this data

Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.

Last editorial review: August 8, 2026

Citation Trend

2 snapshots
Citation history from Aug 25, '25 to Jun 15, '2626,14719,96413,781Aug 25, '25Jun 15, '26
26,147citations as of Jun 15, '26+12,366 since Aug 25, '25
For today’s citation count and citations per paper, visit Google Scholar.