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
Foundational models
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