Le, Matthew

9 publications

ICLR 2025 FlowDec: A Flow-Based Full-Band General Audio Codec with High Perceptual Quality Simon Welker, Matthew Le, Ricky T. Q. Chen, Wei-Ning Hsu, Timo Gerkmann, Alexander Richard, Yi-Chiao Wu

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

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

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

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

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

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

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

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