Brian Patton

According to our database, Brian Patton authored at least 10 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable Spatiotemporal Prediction with Bayesian Neural Fields.

Feras Saad, Jacob Burnim, Colin Carroll, Brian Patton, Urs Köster, Rif A. Saurous, Matthew Hoffman

CoRR, 2024

Robust Inverse Graphics via Probabilistic Inference.

Tuan Anh Le, Pavel Sountsov, Matthew D. Hoffman, Ben Lee, Brian Patton, Rif A. Saurous

CoRR, 2024

2023

Bayes3D: fast learning and inference in structured generative models of 3D objects and scenes.

Nishad Gothoskar, Matin Ghavami, Eric Li, Aidan Curtis, Michael Noseworthy, Karen Chung, Brian Patton, William T. Freeman, Joshua B. Tenenbaum, Mirko Klukas, Vikash K. Mansinghka

CoRR, 2023

Sequential Monte Carlo Learning for Time Series Structure Discovery.

Feras Saad, Brian Patton, Matthew Douglas Hoffman, Rif A. Saurous, Vikash Mansinghka

Proceedings of the International Conference on Machine Learning, 2023

2020

Automatically batching control-intensive programs for modern accelerators.

Alexey Radul, Brian Patton, Dougal Maclaurin, Matthew D. Hoffman, Rif A. Saurous

Proceedings of Machine Learning and Systems 2020, 2020

2019

Universal Sound Separation.

Ilya Kavalerov, Scott Wisdom, Hakan Erdogan, Brian Patton, Kevin W. Wilson, Jonathan Le Roux, John R. Hershey

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019

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

Proceedings of the IEEE International Conference on Acoustics, 2019

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

Proceedings of the 16th International Workshop on Acoustic Signal Enhancement, 2018

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

2016

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