Matt Le

17 papers A 2C 1Journal 12Unranked 2
YearRankTypeTitle / Venue / Authors
2025 C conf
Meta Audiobox Aesthetics: Unified Automatic Assessment for Speech, Music and Sound.
ASRU
Andros Tjandra, Yi-Chiao Wu, Baishan Guo, John Hoffman, Brian Ellis, Apoorv Vyas, Bowen Shi, Sanyuan Chen, Matt Le, Nick Zacharov, Carleigh Wood, Ann Lee, Wei-Ning Hsu
2025 J jnl
Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound.
CoRR
Andros Tjandra, Yi-Chiao Wu, Baishan Guo, John Hoffman, Brian Ellis, Apoorv Vyas, Bowen Shi, Sanyuan Chen, Matt Le, Nick Zacharov, Carleigh Wood, Ann Lee, Wei-Ning Hsu
2025 J jnl
Pushing the Frontier of Audiovisual Perception with Large-Scale Multimodal Correspondence Learning.
CoRR
Apoorv Vyas, Heng-Jui Chang, Cheng-Fu Yang, Po-Yao Huang, Luya Gao, Julius Richter, Sanyuan Chen, Matt Le, Piotr Dollár, Christoph Feichtenhofer, Ann Lee, Wei-Ning Hsu
2025 J jnl
SAM Audio: Segment Anything in Audio.
CoRR
Bowen Shi, Andros Tjandra, John Hoffman, Helin Wang, Yi-Chiao Wu, Luya Gao, Julius Richter, Matt Le, Apoorv Vyas, Sanyuan Chen, Christoph Feichtenhofer, Piotr Dollár, Wei-Ning Hsu, Ann Lee
2024 J jnl
Flow Matching Guide and Code.
CoRR
Yaron Lipman, Marton Havasi, Peter Holderrieth, Neta Shaul, Matt Le, Brian Karrer, Ricky T. Q. Chen, David Lopez-Paz, Heli Ben-Hamu, Itai Gat
2024 A conf
Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning.
INTERSPEECH
Chung-Ming Chien, Andros Tjandra, Apoorv Vyas, Matt Le, Bowen Shi, Wei-Ning Hsu
2024 J jnl
Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning.
CoRR
Chung-Ming Chien, Andros Tjandra, Apoorv Vyas, Matt Le, Bowen Shi, Wei-Ning Hsu
2023 J jnl
Generative Pre-training for Speech with Flow Matching.
CoRR
Alexander H. Liu, Matt Le, Apoorv Vyas, Bowen Shi, Andros Tjandra, Wei-Ning Hsu
2023 J jnl
Guided Flows for Generative Modeling and Decision Making.
CoRR
Qinqing Zheng, Matt Le, Neta Shaul, Yaron Lipman, Aditya Grover, Ricky T. Q. Chen
2023 J jnl
On Kinetic Optimal Probability Paths for Generative Models.
CoRR
Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matt Le, Yaron Lipman
2022 J jnl
Flow Matching for Generative Modeling.
CoRR
Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, Matt Le
2021 A conf
The Source-Target Domain Mismatch Problem in Machine Translation.
EACL
Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato
2019 — conf
Facebook AI's WAT19 Myanmar-English Translation Task Submission.
WAT@EMNLP-IJCNLP
Peng-Jen Chen, Jiajun Shen, Matt Le, Vishrav Chaudhary, Ahmed El-Kishky, Guillaume Wenzek, Myle Ott, Marc'Aurelio Ranzato
2019 J jnl
Facebook AI's WAT19 Myanmar-English Translation Task Submission.
CoRR
Peng-Jen Chen, Jiajun Shen, Matt Le, Vishrav Chaudhary, Ahmed El-Kishky, Guillaume Wenzek, Myle Ott, Marc'Aurelio Ranzato
2019 — conf
Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings.
ACL (1)
Matt Le, Stephen Roller, Laetitia Papaxanthos, Douwe Kiela, Maximilian Nickel
2019 J jnl
Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings.
CoRR
Matt Le, Stephen Roller, Laetitia Papaxanthos, Douwe Kiela, Maximilian Nickel
2019 J jnl
The Source-Target Domain Mismatch Problem in Machine Translation.
CoRR
Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato