AutoMOS: Learning a non-intrusive assessor of naturalness-of-speech. - Brian Patton; Yannis Agiomyrgiannakis; Michael Terry; Kevin W. Wilson; Rif A. Saurous; D. Sculley (CoRR, 2016)

CNN architectures for large-scale audio classification. - Shawn Hershey; Sourish Chaudhuri; Daniel P. W. Ellis; Jort F. Gemmeke; Aren Jansen; R. Channing Moore; Manoj Plakal; Devin Platt; Rif A. Saurous; Bryan Seybold; Malcolm Slaney; Ron J. Weiss; et al. (ICASSP, 2017)

Trainable frontend for robust and far-field keyword spotting. - Yuxuan Wang 002; Pascal Getreuer; Thad Hughes; Richard F. Lyon; Rif A. Saurous (ICASSP, 2017)

Deep Probabilistic Programming. - Dustin Tran; Matthew D. Hoffman; Rif A. Saurous; Eugene Brevdo; Kevin Murphy 002; David M. Blei (ICLR (Poster), 2017)

Tacotron: Towards End-to-End Speech Synthesis. - Yuxuan Wang 002; R. J. Skerry-Ryan; Daisy Stanton; Yonghui Wu; Ron J. Weiss; Navdeep Jaitly; Zongheng Yang; Ying Xiao; Zhifeng Chen; Samy Bengio; Quoc V. Le; Yannis Agiomyrgiannakis; et al. (INTERSPEECH, 2017)

Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model. - Yuxuan Wang 002; R. J. Skerry-Ryan; Daisy Stanton; Yonghui Wu; Ron J. Weiss; Navdeep Jaitly; Zongheng Yang; Ying Xiao; Zhifeng Chen; Samy Bengio; Quoc V. Le; Yannis Agiomyrgiannakis; et al. (CoRR, 2017)

An Information-Theoretic Analysis of Deep Latent-Variable Models. - Alexander A. Alemi; Ben Poole; Ian Fischer; Joshua V. Dillon; Rif A. Saurous; Kevin Murphy 002 (CoRR, 2017)

Uncovering Latent Style Factors for Expressive Speech Synthesis. - Yuxuan Wang 002; R. J. Skerry-Ryan; Ying Xiao; Daisy Stanton; Joel Shor; Eric Battenberg; Rob Clark; Rif A. Saurous (CoRR, 2017)

TensorFlow Distributions. - Joshua V. Dillon; Ian Langmore; Dustin Tran; Eugene Brevdo; Srinivas Vasudevan; Dave Moore; Brian Patton; Alex Alemi; Matthew D. Hoffman; Rif A. Saurous (CoRR, 2017)

On Using Backpropagation for Speech Texture Generation and Voice Conversion. - Jan Chorowski; Ron J. Weiss; Rif A. Saurous; Samy Bengio (ICASSP, 2018)

Unsupervised Learning of Semantic Audio Representations. - Aren Jansen; Manoj Plakal; Ratheet Pandya; Daniel P. W. Ellis; Shawn Hershey; Jiayang Liu; R. Channing Moore; Rif A. Saurous (ICASSP, 2018)

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions. - Jonathan Shen; Ruoming Pang; Ron J. Weiss; Mike Schuster; Navdeep Jaitly; Zongheng Yang; Zhifeng Chen; Yu Zhang 033; Yuxuan Wang 002; R. J. Skerry-Ryan; Rif A. Saurous; Yannis Agiomyrgiannakis; et al. (ICASSP, 2018)

Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks. - Shankar Krishnan; Ying Xiao; Rif A. Saurous (ICLR (Poster), 2018)

Fixing a Broken ELBO. - Alexander A. Alemi; Ben Poole; Ian Fischer; Joshua V. Dillon; Rif A. Saurous; Kevin Murphy 002 (ICML, 2018)

Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron. - R. J. Skerry-Ryan; Eric Battenberg; Ying Xiao; Yuxuan Wang 002; Daisy Stanton; Joel Shor; Ron J. Weiss; Rob Clark; Rif A. Saurous (ICML, 2018)

Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis. - Yuxuan Wang 002; Daisy Stanton; Yu Zhang 033; R. J. Skerry-Ryan; Eric Battenberg; Joel Shor; Ying Xiao; Ye Jia; Fei Ren; Rif A. Saurous (ICML, 2018)

Emotion Recognition from Human Speech Using Temporal Information and Deep Learning. - John W. Kim; Rif A. Saurous (INTERSPEECH, 2018)

Exploring Tradeoffs in Models for Low-Latency Speech Enhancement. - Kevin W. Wilson; Michael Chinen; Jeremy Thorpe; Brian Patton; John R. Hershey; Rif A. Saurous; Jan Skoglund; Richard F. Lyon (IWAENC, 2018)

Simple, Distributed, and Accelerated Probabilistic Programming. - Dustin Tran; Matthew D. Hoffman; Dave Moore; Christopher Suter; Srinivas Vasudevan; Alexey Radul; Matthew J. Johnson 002; Rif A. Saurous (CoRR, 2018)

Ultrasonic Communication Using Consumer Hardware. - Pascal Getreuer; Chet Gnegy; Richard F. Lyon; Rif A. Saurous (IEEE Trans. Multim., 2018)

Differentiable Consistency Constraints for Improved Deep Speech Enhancement. - Scott Wisdom; John R. Hershey; Kevin W. Wilson; Jeremy Thorpe; Michael Chinen; Brian Patton; Rif A. Saurous (ICASSP, 2019)

VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking. - Quan Wang; Hannah Muckenhirn; Kevin W. Wilson; Prashant Sridhar; Zelin Wu; John R. Hershey; Rif A. Saurous; Ron J. Weiss; Ye Jia; Ignacio López-Moreno (INTERSPEECH, 2019)

Large-Scale Weakly-Supervised Content Embeddings for Music Recommendation and Tagging. - Qingqing Huang; Aren Jansen; Li Zhang 001; Daniel P. W. Ellis; Rif A. Saurous; John R. Anderson (ICASSP, 2020)

Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision. - Aren Jansen; Daniel P. W. Ellis; Shawn Hershey; R. Channing Moore; Manoj Plakal; Ashok C. Popat; Rif A. Saurous (ICASSP, 2020)

Automatically batching control-intensive programs for modern accelerators. - Alexey Radul; Brian Patton; Dougal Maclaurin; Matthew D. Hoffman; Rif A. Saurous (MLSys, 2020)

tfp.mcmc: Modern Markov Chain Monte Carlo Tools Built for Modern Hardware. - Junpeng Lao; Christopher Suter; Ian Langmore; Cyril Chimisov; Ashish Saxena; Pavel Sountsov; Dave Moore; Rif A. Saurous; Matthew D. Hoffman; Joshua V. Dillon (CoRR, 2020)

Language Model Cascades. - David Dohan; Winnie Xu; Aitor Lewkowycz; Jacob Austin; David Bieber; Raphael Gontijo Lopes; Yuhuai Wu; Henryk Michalewski; Rif A. Saurous; Jascha Sohl-Dickstein; Kevin Murphy 002; Charles Sutton (CoRR, 2022)

ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images. - Matthew D. Hoffman; Tuan Anh Le; Pavel Sountsov; Christopher Suter; Ben Lee; Vikash K. Mansinghka; Rif A. Saurous (AISTATS, 2023)

Sequential Monte Carlo Learning for Time Series Structure Discovery. - Feras Saad; Brian Patton; Matthew Douglas Hoffman; Rif A. Saurous; Vikash Mansinghka 001 (ICML, 2023)

Training Chain-of-Thought via Latent-Variable Inference. - Matthew Douglas Hoffman; Du Phan; David Dohan; Sholto Douglas; Tuan Anh Le; Aaron Parisi; Pavel Sountsov; Charles Sutton; Sharad Vikram; Rif A. Saurous (NeurIPS, 2023)

Grammar Prompting for Domain-Specific Language Generation with Large Language Models. - Bailin Wang; Zi Wang; Xuezhi Wang 002; Yuan Cao; Rif A. Saurous; Yoon Kim (NeurIPS, 2023)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Robust Inverse Graphics via Probabilistic Inference. - Tuan Anh Le; Pavel Sountsov; Matthew Douglas Hoffman; Ben Lee; Brian Patton; Rif A. Saurous (ICML, 2024)

Scalable Spatiotemporal Prediction with Bayesian Neural Fields. - Feras Saad; Jacob Burnim; Colin Carroll; Brian Patton; Urs Köster; Rif A. Saurous; Matthew Hoffman 001 (CoRR, 2024)

All Random Features Representations are Equivalent. - Luke Sernau; Silvano Bonacina; Rif A. Saurous (CoRR, 2024)

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training. - Johannes von Oswald; Nino Scherrer; Seijin Kobayashi; Luca Versari; Songlin Yang; Maximilian Schlegel; Kaitlin Maile; Yanick Schimpf; Oliver Sieberling; Alexander Meulemans; Rif A. Saurous; Guillaume Lajoie; et al. (CoRR, 2025)

When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors. - Scott Emmons; Erik Jenner; David K. Elson; Rif A. Saurous; Senthooran Rajamanoharan; Heng Chen; Irhum Shafkat; Rohin Shah (CoRR, 2025)