Multiple Hypothesis Object Tracking For Unsupervised Self-Learning: An Ocean Eddy Tracking Application. - James H. Faghmous; Muhammed Uluyol; Luke Styles; Matthew Le 001; Varun Mithal; Shyam Boriah; Vipin Kumar 001 (AAAI, 2013)

A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics. - James H. Faghmous; Matthew Le 001; Muhammed Uluyol; Vipin Kumar 001; Snigdhansu Chatterjee (ICDM, 2013)

Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field. - James H. Faghmous; Hung Nguyen; Matthew Le 001; Vipin Kumar 001 (AAAI, 2014)

Practical and effective higher-order optimizations. - Lars Bergstrom; Matthew Fluet; Matthew Le 001; John H. Reppy; Nora Sandler (ICFP, 2014)

A Compiler Extension for Parallel Matrix Programming. - Kevin Williams; Matthew Le 001; Ted Kaminski; Eric Van Wyk (ICPP, 2014)

Combining Shared State with Speculative Parallelism in a Functional Language. - Matthew Le 001; Matthew Fluet (IFL, 2014)

Partial aborts for transactions via first-class continuations. - Matthew Le 001; Matthew Fluet (ICFP, 2015)

Revisiting software transactional memory in Haskell. - Matthew Le 001; Ryan Yates; Matthew Fluet (Haskell, 2016)

Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings. - Matt Le 001; Stephen Roller; Laetitia Papaxanthos; Douwe Kiela; Maximilian Nickel (ACL (1), 2019)

Facebook AI's WAT19 Myanmar-English Translation Task Submission. - Peng-Jen Chen; Jiajun Shen; Matt Le 001; Vishrav Chaudhary; Ahmed El-Kishky; Guillaume Wenzek; Myle Ott; Marc'Aurelio Ranzato (WAT@EMNLP-IJCNLP, 2019)

Revisiting the Evaluation of Theory of Mind through Question Answering. - Matthew Le 001; Y-Lan Boureau; Maximilian Nickel (EMNLP/IJCNLP (1), 2019)

Satellite images and machine learning can identify remote communities to facilitate access to health services. - Emilie Bruzelius; Matthew Le 001; Avi Kenny; Jordan Downey; Matteo Danieletto; Aaron Baum; Patrick Doupe; Bruno Silva; Philip J. Landrigan; Prabhjot Singh (J. Am. Medical Informatics Assoc., 2019)

Learning Multivariate Hawkes Processes at Scale. - Maximilian Nickel; Matthew Le 001 (CoRR, 2020)

The Source-Target Domain Mismatch Problem in Machine Translation. - Jiajun Shen; Peng-Jen Chen; Matt Le 001; Junxian He; Jiatao Gu; Myle Ott; Michael Auli; Marc'Aurelio Ranzato (EACL, 2021)

Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes. - Maximilian Nickel; Matthew Le 001 (WWW, 2021)

Latent Discretization for Continuous-time Sequence Compression. - Ricky T. Q. Chen; Matthew Le 001; Matthew J. Muckley; Maximilian Nickel; Karen Ullrich (CoRR, 2022)

Flow Matching for Generative Modeling. - Yaron Lipman; Ricky T. Q. Chen; Heli Ben-Hamu; Maximilian Nickel; Matthew Le 001 (ICLR, 2023)

On Kinetic Optimal Probability Paths for Generative Models. - Neta Shaul; Ricky T. Q. Chen; Maximilian Nickel; Matthew Le 001; Yaron Lipman (ICML, 2023)

Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale. - Matthew Le 001; Apoorv Vyas; Bowen Shi; Brian Karrer; Leda Sari; Rashel Moritz; Mary Williamson; Vimal Manohar; Yossi Adi; Jay Mahadeokar; Wei-Ning Hsu (NeurIPS, 2023)

Guided Flows for Generative Modeling and Decision Making. - Qinqing Zheng; Matt Le 001; Neta Shaul; Yaron Lipman; Aditya Grover; Ricky T. Q. Chen (CoRR, 2023)

Audiobox: Unified Audio Generation with Natural Language Prompts. - Apoorv Vyas; Bowen Shi; Matthew Le 001; Andros Tjandra; Yi-Chiao Wu; Baishan Guo; Jiemin Zhang; Xinyue Zhang; Robert Adkins; William Ngan; Jeff Wang; Ivan Cruz; et al. (CoRR, 2023)

Generative Pre-training for Speech with Flow Matching. - Alexander H. Liu; Matthew Le 001; Apoorv Vyas; Bowen Shi; Andros Tjandra; Wei-Ning Hsu (ICLR, 2024)

MusicFlow: Cascaded Flow Matching for Text Guided Music Generation. - K. R. Prajwal; Bowen Shi; Matthew Le 001; Apoorv Vyas; Andros Tjandra; Mahi Luthra; Baishan Guo; Huiyu Wang; Triantafyllos Afouras; David Kant; Wei-Ning Hsu (ICML, 2024)

Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models. - Neta Shaul; Uriel Singer; Ricky T. Q. Chen; Matthew Le 001; Ali K. Thabet; Albert Pumarola; Yaron Lipman (ICML, 2024)

Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning. - Chung-Ming Chien; Andros Tjandra; Apoorv Vyas; Matt Le 001; Bowen Shi; Wei-Ning Hsu (INTERSPEECH, 2024)

Movie Gen: A Cast of Media Foundation Models. - Adam Polyak; Amit Zohar; Andrew Brown; Andros Tjandra; Animesh Sinha; Ann Lee 001; Apoorv Vyas; Bowen Shi; Chih-Yao Ma; Ching-Yao Chuang; David Yan; Dhruv Choudhary; et al. (CoRR, 2024)

Audiobox TTA-RAG: Improving Zero-Shot and Few-Shot Text-To-Audio with Retrieval-Augmented Generation. - Mu Yang; Bowen Shi; Matthew Le 001; Wei-Ning Hsu; Andros Tjandra (CoRR, 2024)

Flow Matching Guide and Code. - Yaron Lipman; Marton Havasi; Peter Holderrieth; Neta Shaul; Matt Le 001; Brian Karrer; Ricky T. Q. Chen; David Lopez-Paz; Heli Ben-Hamu; Itai Gat (CoRR, 2024)

FlowDec: A flow-based full-band general audio codec with high perceptual quality. - Simon Welker; Matthew Le 001; Ricky T. Q. Chen; Wei-Ning Hsu; Timo Gerkmann; Alexander Richard; Yi-Chiao Wu (ICLR, 2025)

Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound. - Andros Tjandra; Yi-Chiao Wu; Baishan Guo; John Hoffman; Brian Ellis; Apoorv Vyas; Bowen Shi; Sanyuan Chen; Matt Le 001; Nick Zacharov; Carleigh Wood; Ann Lee 001; et al. (CoRR, 2025)