Matt Le

RESEARCH ENGINEER | NEW YORK CITY, UNITED STATES

Matt is a Research Engineer at Facebook AI Research (FAIR) in NYC. Before joining FAIR, he spent 2 years working at the Mount Sinai School of Medicine in the Department of Global Health. Prior to that, he received his M.S. in Computer Science from the Rochester Institute of Technology and a B.S. in Computer Science from the University of Minnesota - Twin Cities. At FAIR, Matt has worked on representation learning, machine translations, and time series forecasting.

Matt's Work

Matt's Publications

June 17, 2024

COMPUTER VISION

CORE MACHINE LEARNING

Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models

Neta Shaul, Uriel Singer, Ricky Chen, Matt Le, Ali Thabet, Albert Pumarola, Yaron Lipman

June 17, 2024

March 05, 2024

SPEECH & AUDIO

Generative Pre-training for Speech with Flow Matching

Alex Liu, Matt Le, Apoorv Vyas, Bowen Shi, Andros Tjandra, Wei-Ning Hsu

March 05, 2024

December 11, 2023

SPEECH & AUDIO

Audiobox: Unified Audio Generation with Natural Language Prompts

Wei-Ning Hsu, Akinniyi Akinyemi, Alice Rakotoarison, Andros Tjandra, Apoorv Vyas, Baishan Guo, Bapi Akula, Bowen Shi, Brian Ellis, Ivan Cruz, Jeff Wang, Jiemin Zhang, Mary Williamson, Matt Le, Rashel Moritz, Robbie Adkins, William Ngan, Xinyue Zhang, Yael Yungster, Yi-Chiao Wu

December 11, 2023

June 16, 2023

SPEECH & AUDIO

NLP

Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale

Matt Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossef (Yossi) Adi, Jay Mahadeokar, Wei-Ning Hsu

June 16, 2023

September 23, 2020

ML APPLICATIONS

Neural Relational Autoregression for High-Resolution COVID-19 Forecasting

Maximilian Nickel, Levent Sagun, Mark Ibrahim, Matt Le, Timothee Lacroix

September 23, 2020

October 25, 2019

RESEARCH

NLP

Revisiting the Evaluation of Theory of Mind through Question Answering

Max Nickel, Matt Le, Y-Lan Boureau

October 25, 2019