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ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images


Oct 27, 2022
Matthew D. Hoffman, Tuan Anh Le, Pavel Sountsov, Christopher Suter, Ben Lee, Vikash K. Mansinghka, Rif A. Saurous

* 18 pages, 18 figures, 1 table; submitted to the 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023) 

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Lossy Compression with Gaussian Diffusion


Jun 17, 2022
Lucas Theis, Tim Salimans, Matthew D. Hoffman, Fabian Mentzer


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What Are Bayesian Neural Network Posteriors Really Like?


Apr 29, 2021
Pavel Izmailov, Sharad Vikram, Matthew D. Hoffman, Andrew Gordon Wilson


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Underspecification Presents Challenges for Credibility in Modern Machine Learning


Nov 06, 2020
Alexander D'Amour, Katherine Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yian Ma, Cory McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley


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tfp.mcmc: Modern Markov Chain Monte Carlo Tools Built for Modern Hardware


Feb 04, 2020
Junpeng Lao, Christopher Suter, Ian Langmore, Cyril Chimisov, Ashish Saxena, Pavel Sountsov, Dave Moore, Rif A. Saurous, Matthew D. Hoffman, Joshua V. Dillon

* Based on extended abstract submitted to PROBPROG 2020 

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Automatically Batching Control-Intensive Programs for Modern Accelerators


Oct 23, 2019
Alexey Radul, Brian Patton, Dougal Maclaurin, Matthew D. Hoffman, Rif A. Saurous

* 10 pages; under review for Systems and Machine Learning 2020 

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Automatic Reparameterisation of Probabilistic Programs


Jun 07, 2019
Maria I. Gorinova, Dave Moore, Matthew D. Hoffman


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Autoconj: Recognizing and Exploiting Conjugacy Without a Domain-Specific Language


Nov 29, 2018
Matthew D. Hoffman, Matthew J. Johnson, Dustin Tran

* Appears in Neural Information Processing Systems, 2018. Code available at https://github.com/google-research/autoconj 

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The LORACs prior for VAEs: Letting the Trees Speak for the Data


Oct 16, 2018
Sharad Vikram, Matthew D. Hoffman, Matthew J. Johnson


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Music Transformer


Oct 10, 2018
Cheng-Zhi Anna Huang, Ashish Vaswani, Jakob Uszkoreit, Noam Shazeer, Ian Simon, Curtis Hawthorne, Andrew M. Dai, Matthew D. Hoffman, Monica Dinculescu, Douglas Eck

* Rewrote many sections to clarify the work, and extended relative attention to the local case. Previous title is "An Improved Relative Self-Attention Mechanism for Transformer with Application to Music Generation" 

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