Rif A. Saurous
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
Estimating the Changing Infection Rate of COVID-19 Using Bayesian Models of Mobility
Xue Ben
Shawn O'Banion
Matthew D. Hoffman
medRxiv, https://www.medrxiv.org/content/10.1101/2020.08.06.20169664v1.full (2020)
Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision
Proceedings of ICASSP 2020 (2020) (to appear)
Large-Scale Weakly-Supervised Content Embeddingsfor Music Recommendation and Tagging
Qingqing Huang
Li Zhang
John Roberts Anderson
ICASSP 2020 (2020)
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)
Differentiable Consistency Constraints for Improved Deep Speech Enhancement
Jeremy Thorpe
Michael Chinen
IEEE International Conference on Acoustics, Speech, and Signal Processing (2019)
Neumann Optimizer: A Practical Optimizer for Deep Neural Networks
Shankar Krishnan
Ying Xiao
International Conference on Learning Representations (ICLR) (2018)
Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron
Ying Xiao
Yuxuan Wang
Joel Shor
Rob Clark
International Conference on Machine Learning (2018)
Simple, Distributed, and Accelerated Probabilistic Programming
Matthew D. Hoffman
Dave Moore
Christopher Gordon Suter
Srinivas Vasudevan
Alexey Radul
Matthew Johnson
NeurIPS (2018)
