default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDMatt Le 0001
Person information
- affiliation: Meta, Facebook AI Research, New York, NY, USA
- affiliation (former): Icahn School of Medicine at Mount Sinai, New York, NY, USA
- affiliation (former): Rochester Institute of Technology, NY, USA
- affiliation (former): University of Minnesota, Minneapolis, MN, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[c19]Alexander H. Liu, Matthew Le, Apoorv Vyas, Bowen Shi, Andros Tjandra, Wei-Ning Hsu:
Generative Pre-training for Speech with Flow Matching. ICLR 2024- [c18]K. R. Prajwal, Bowen Shi, Matthew Le, Apoorv Vyas, Andros Tjandra, Mahi Luthra, Baishan Guo, Huiyu Wang, Triantafyllos Afouras, David Kant, Wei-Ning Hsu:
MusicFlow: Cascaded Flow Matching for Text Guided Music Generation. ICML 2024 - [c17]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. ICML 2024 - [i13]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 abs/2403.01329 (2024) - [i12]Chung-Ming Chien, Andros Tjandra, Apoorv Vyas, Matt Le, Bowen Shi, Wei-Ning Hsu:
Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning. CoRR abs/2406.06251 (2024) - 2023
- [c16]Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, Matthew Le:
Flow Matching for Generative Modeling. ICLR 2023 - [c15]Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel, Matthew Le, Yaron Lipman:
On Kinetic Optimal Probability Paths for Generative Models. ICML 2023: 30883-30907 - [c14]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 - [i11]Neta Shaul, Ricky T. Q. Chen, Maximilian Nickel
, Matt Le, Yaron Lipman:
On Kinetic Optimal Probability Paths for Generative Models. CoRR abs/2306.06626 (2023) - [i10]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 abs/2306.15687 (2023) - [i9]Alexander H. Liu, Matt Le, Apoorv Vyas, Bowen Shi, Andros Tjandra, Wei-Ning Hsu:
Generative Pre-training for Speech with Flow Matching. CoRR abs/2310.16338 (2023) - [i8]Qinqing Zheng, Matt Le, Neta Shaul, Yaron Lipman, Aditya Grover, Ricky T. Q. Chen:
Guided Flows for Generative Modeling and Decision Making. CoRR abs/2311.13443 (2023) - [i7]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 abs/2312.15821 (2023) - 2022
- [i6]Yaron Lipman, Ricky T. Q. Chen, Heli Ben-Hamu, Maximilian Nickel, Matt Le:
Flow Matching for Generative Modeling. CoRR abs/2210.02747 (2022) - [i5]Ricky T. Q. Chen, Matthew Le, Matthew J. Muckley, Maximilian Nickel, Karen Ullrich:
Latent Discretization for Continuous-time Sequence Compression. CoRR abs/2212.13659 (2022) - 2021
- [c13]Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato:
The Source-Target Domain Mismatch Problem in Machine Translation. EACL 2021: 1519-1533 - [c12]Maximilian Nickel, Matthew Le:
Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes. WWW 2021: 706-717 - 2020
- [i4]Maximilian Nickel, Matthew Le:
Learning Multivariate Hawkes Processes at Scale. CoRR abs/2002.12501 (2020)
2010 – 2019
- 2019
- [j1]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): 806-812 (2019) - [c11]Matt Le, Stephen Roller, Laetitia Papaxanthos, Douwe Kiela, Maximilian Nickel:
Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings. ACL (1) 2019: 3231-3241 - [c10]Peng-Jen Chen, Jiajun Shen, Matt Le, Vishrav Chaudhary, Ahmed El-Kishky, Guillaume Wenzek, Myle Ott, Marc'Aurelio Ranzato:
Facebook AI's WAT19 Myanmar-English Translation Task Submission. WAT@EMNLP-IJCNLP 2019: 112-122 - [c9]Matthew Le, Y-Lan Boureau, Maximilian Nickel:
Revisiting the Evaluation of Theory of Mind through Question Answering. EMNLP/IJCNLP (1) 2019: 5871-5876 - [i3]Matt Le, Stephen Roller, Laetitia Papaxanthos, Douwe Kiela, Maximilian Nickel:
Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings. CoRR abs/1902.00913 (2019) - [i2]Jiajun Shen, Peng-Jen Chen, Matt Le, Junxian He, Jiatao Gu, Myle Ott, Michael Auli, Marc'Aurelio Ranzato:
The Source-Target Domain Mismatch Problem in Machine Translation. CoRR abs/1909.13151 (2019) - [i1]Peng-Jen Chen, Jiajun Shen, Matt Le, Vishrav Chaudhary, Ahmed El-Kishky, Guillaume Wenzek, Myle Ott, Marc'Aurelio Ranzato:
Facebook AI's WAT19 Myanmar-English Translation Task Submission. CoRR abs/1910.06848 (2019) - 2016
- [c8]Matthew Le, Ryan Yates, Matthew Fluet:
Revisiting software transactional memory in Haskell. Haskell 2016: 105-113 - 2015
- [c7]Matthew Le, Matthew Fluet:
Partial aborts for transactions via first-class continuations. ICFP 2015: 230-242 - 2014
- [c6]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: 410-416 - [c5]Lars Bergstrom, Matthew Fluet, Matthew Le, John H. Reppy, Nora Sandler:
Practical and effective higher-order optimizations. ICFP 2014: 81-93 - [c4]Kevin Williams, Matthew Le, Ted Kaminski, Eric Van Wyk:
A Compiler Extension for Parallel Matrix Programming. ICPP 2014: 471-480 - [c3]Matthew Le, Matthew Fluet:
Combining Shared State with Speculative Parallelism in a Functional Language. IFL 2014: 2:1-2:10 - 2013
- [c2]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: 1277-1283 - [c1]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: 151-160
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:16 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
