Rif A. Saurous
Authored Publications
Sort By
Google
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)
Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis
Yuxuan Wang
Yu Zhang
Joel Shor
Ying Xiao
Fei Ren
Ye Jia
ICML (2018)
Natural TTS Synthesis By Conditioning WaveNet On Mel Spectrogram Predictions
Jonathan Shen
Ruoming Pang
Mike Schuster
Navdeep Jaitly
Zongheng Yang
Zhifeng Chen
Yu Zhang
Yuxuan Wang
Yannis Agiomyrgiannakis
Yonghui Wu
ICASSP (2018)
Neumann Optimizer: A Practical Optimizer for Deep Neural Networks
Shankar Krishnan
Ying Xiao
International Conference on Learning Representations (ICLR) (2018)
Simple, Distributed, and Accelerated Probabilistic Programming
Matthew D. Hoffman
Dave Moore
Christopher Gordon Suter
Srinivas Vasudevan
Alexey Radul
Matthew Johnson
NeurIPS (2018)
