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Matthew Le

Flow Matching for Generative Modeling
2022 · Lipman, Yaron, Chen, Ricky T. Q., et al. · arXiv (Cornell University) · 192
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The United States COVID-19 Forecast Hub dataset
2022 · Estee Y. Cramer, Yuxin Huang, et al. · Scientific Data · 126
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Voicebox: Text-Guided Multilingual Universal Speech Generation at Scale
2023 · Matthew Le, Apoorv Vyas, et al. · neural information processing systems · 85
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Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings
2019 · Matthew Le, Stephen Roller, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 56
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Revisiting the Evaluation of Theory of Mind through Question Answering
2019 · Matthew Le, Y-Lan Boureau, et al. · 46
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A Parameter-Free Spatio-Temporal Pattern Mining Model to Catalog Global Ocean Dynamics
2013 · James H. Faghmous, Matthew Le, et al. · Proceedings · 40
Satellite images and machine learning can identify remote communities to facilitate access to health services
2019 · Emilie Bruzelius, Matthew Le, et al. · Journal of the American Medical Informatics Association · 29
Facebook AI’s WAT19 Myanmar-English Translation Task Submission
2019 · Peng-Jen Chen, Jiajun Shen, et al. · Workshop on Asian Translation (WAT) · 27
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Meta Audiobox Aesthetics: Unified Automatic Assessment for Speech, Music and Sound
2025 · Andros Tjandra, Yi-Chiao Wu, et al. · IEEE Automatic Speech Recognition and Understanding Workshop (ASRU) · 24
Audiobox: Unified Audio Generation with Natural Language Prompts
2023 · Vyas, Apoorv, Shi, Bowen, et al. · arXiv (Cornell University) · 23
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Inferring Concept Hierarchies from Text Corpora via Hyperbolic Embeddings
2019 · Le, Matthew, Roller, Stephen, et al. · arXiv (Cornell University) · 21
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Flow Matching Guide and Code
2024 · Lipman, Yaron, Havasi, Marton, et al. · arXiv (Cornell University) · 15
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The Source-Target Domain Mismatch Problem in Machine Translation
2021 · Jiajun Shen, Peng-Jen Chen, et al. · 15
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Movie Gen: A Cast of Media Foundation Models
2024 · Polyak, Adam, Zohar, Amit, et al. · arXiv (Cornell University) · 14
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Multiple Hypothesis Object Tracking For Unsupervised Self-Learning: An Ocean Eddy Tracking Application
2013 · James Faghmous, Muhammed Uluyol, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 14
Practical and effective higher-order optimizations
2014 · Lars Bergstrom, Matthew Fluet, et al. · ACM SIGPLAN International Conference on Functional Programming (ICFP) · 13
Learning Multivariate Hawkes Processes at Scale
2020 · Nickel, Maximilian, Le, Matthew · arXiv (Cornell University) · 11
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Generative Pre-training for Speech with Flow Matching
2023 · Liu, Alexander H., Le, Matt, et al. · arXiv (Cornell University) · 9
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Modeling Sparse Information Diffusion at Scale via Lazy Multivariate Hawkes Processes
2021 · Maximilian Nickel, Matthew Le · 8
Partial aborts for transactions via first-class continuations
2015 · Matthew Le, Matthew Fluet · ACM SIGPLAN International Conference on Functional Programming (ICFP) · 8
Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field
2014 · James Faghmous, Hung Nguyen, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 7
Audiobox TTA-RAG: Improving Zero-Shot and Few-Shot Text-To-Audio with Retrieval-Augmented Generation
2025 · Mu Yang, Bowen Shi, et al. · Interspeech (USB) · 4
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Revisiting software transactional memory in Haskell
2016 · Matthew Le, Ryan Yates, et al. · 4
Partial aborts for transactions via first-class continuations
2015 · Matthew Le, Matthew Fluet · ACM SIGPLAN Notices · 3
Using Voicebox-based Synthetic Speech for ASR Adaptation
2024 · Hira Dhamyal, Leda Sari, et al. · 2
Works count: 38
Citation count: 801
H-index: 14
I10-index: 17
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