Matthew Le

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 13

Top Topics

Natural Language

Continuous Data

Health Services

Generative Model

Top Venues

Publications

Neta Shaul, Uriel Singer, Ricky T. Q. Chen, Matthew Le, Ali K. Thabet, Albert Pumarola, Yaron Lipman
Bespoke Non-Stationary Solvers for Fast Sampling of Diffusion and Flow Models. CoRR (2024)
Apoorv Vyas, Bowen Shi, Matthew Le, Andros Tjandra, Yi-Chiao Wu, Baishan Guo, Jiemin Zhang, Xinyue Zhang, Robert Adkins, William Ngan, Jeff Wang, Ivan Cruz, Bapi Akula, Akinniyi Akinyemi, Brian Ellis, Rashel Moritz, Yael Yungster, Alice Rakotoarison, Liang Tan, Chris Summers, Carleigh Wood, Joshua Lane, Mary Williamson, Wei-Ning Hsu
Audiobox: Unified Audio Generation with Natural Language Prompts. CoRR (2023)
Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, Matthew Le
Flow Matching for Generative Modeling. ICLR (2023)
Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, Wei-Ning Hsu
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale. CoRR (2023)
Matthew Le, Apoorv Vyas, Bowen Shi, Brian Karrer, Leda Sari, Rashel Moritz, Mary Williamson, Vimal Manohar, Yossi Adi, Jay Mahadeokar, Wei-Ning Hsu
Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale. NeurIPS (2023)
Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matthew Le, Yaron Lipman
On Kinetic Optimal Probability Paths for Generative Models. ICML (2023)
Ricky T. Q. Chen, Matthew Le, Matthew J. Muckley, Maximilian Nickel, Karen Ullrich
Latent Discretization for Continuous-time Sequence Compression. CoRR (2022)
Maximilian Nickel, Matthew Le
Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes. WWW (2021)
Maximilian Nickel, Matthew Le
Learning Multivariate Hawkes Processes at Scale. CoRR (2020)
Emilie Bruzelius, Matthew Le, Avi Kenny, Jordan Downey, Matteo Danieletto, Aaron Baum, Patrick Doupe, Bruno Silva, Philip J. Landrigan, Prabhjot Singh
Satellite images and machine learning can identify remote communities to facilitate access to health services. J. Am. Medical Informatics Assoc. 26 (8-9) (2019)
Matthew Le, Y-Lan Boureau, Maximilian Nickel
Revisiting the Evaluation of Theory of Mind through Question Answering. EMNLP/IJCNLP (1) (2019)
Matthew Le, Ryan Yates, Matthew Fluet
Revisiting software transactional memory in Haskell. Haskell (2016)
Matthew Le, Matthew Fluet
Partial aborts for transactions via first-class continuations. ICFP (2015)
Matthew Le, Matthew Fluet
Combining Shared State with Speculative Parallelism in a Functional Language. IFL (2014)
James H. Faghmous, Hung Nguyen, Matthew Le, Vipin Kumar
Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field. AAAI (2014)
Kevin Williams, Matthew Le, Ted Kaminski, Eric Van Wyk
A Compiler Extension for Parallel Matrix Programming. ICPP (2014)
Lars Bergstrom, Matthew Fluet, Matthew Le, John H. Reppy, Nora Sandler
Practical and effective higher-order optimizations. ICFP (2014)
James H. Faghmous, Muhammed Uluyol, Luke Styles, Matthew Le, Varun Mithal, Shyam Boriah, Vipin Kumar
Multiple Hypothesis Object Tracking For Unsupervised Self-Learning: An Ocean Eddy Tracking Application. AAAI (2013)
James H. Faghmous, Matthew Le, Muhammed Uluyol, Vipin Kumar, Snigdhansu Chatterjee
A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics. ICDM (2013)