Brian Patton
Authored Publications
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Sequential Monte Carlo Learning for Time Series Structure Discovery
Feras Saad
Matthew D. Hoffman
Vikash Mansinghka
Proceedings of the 40th International Conference on Machine Learning (2023), pp. 29473-29489
Automatically batching control-intensive programs for modern accelerators
Alexey Radul
Dougal Maclaurin
Matthew D. Hoffman
Third Conference on Systems and Machine Learning, Austin, TX (2020)
Universal Sound Separation
Ilya Kavalerov
Jonathan Le Roux
IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA) (2019)
Differentiable Consistency Constraints for Improved Deep Speech Enhancement
Jeremy Thorpe
Michael Chinen
IEEE International Conference on Acoustics, Speech, and Signal Processing (2019)
Estimating the Spectral Density of Large Implicit Matrices
Ryan Adams
Jeffrey Pennington
Matthew Johnson
Jamie Smith
Yaniv Ovadia
James Saunderson
arXiv (2018)
EXPLORING TRADEOFFS IN MODELS FOR LOW-LATENCY SPEECH ENHANCEMENT
Jeremy Thorpe
Michael Chinen
Proceedings of the 16th International Workshop on Acoustic Signal Enhancement (2018)
TensorFlow Distributions
Josh Dillon
Dustin Tran
Eugene Brevdo
Srinivas Vasudevan
Dave Moore
Alex Alemi
Matt Hoffman
Workshop on Probabilistic Programming Languages, Semantics, and Systems (PPS 2018) (2017)
AutoMOS: Learning a non-intrusive assessor of naturalness-of-speech
Yannis Agiomyrgiannakis
D. Sculley
NIPS 2016 End-to-end Learning for Speech and Audio Processing Workshop (to appear)
