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Manifold Density Estimation via Generalized Dequantization

Feb 14, 2021
James A. Brofos, Marcus A. Brubaker, Roy R. Lederman

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HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms

Nov 23, 2020
Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown

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Wavelet Flow: Fast Training of High Resolution Normalizing Flows

Oct 26, 2020
Jason J. Yu, Konstantinos G. Derpanis, Marcus A. Brubaker

* Manuscript appendix images compressed with JPEG to meet arXiv size limits. Visit the project page for PNG versions: 

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Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows

Feb 24, 2020
Ruizhi Deng, Bo Chang, Marcus A. Brubaker, Greg Mori, Andreas Lehrmann

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Variational Hyper RNN for Sequence Modeling

Feb 24, 2020
Ruizhi Deng, Yanshuai Cao, Bo Chang, Leonid Sigal, Greg Mori, Marcus A. Brubaker

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Normalizing Flows: Introduction and Ideas

Aug 25, 2019
Ivan Kobyzev, Simon Prince, Marcus A. Brubaker

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Noise Flow: Noise Modeling with Conditional Normalizing Flows

Aug 22, 2019
Abdelrahman Abdelhamed, Marcus A. Brubaker, Michael S. Brown

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Walking on Thin Air: Environment-Free Physics-based Markerless Motion Capture

Dec 04, 2018
Micha Livne, Leonid Sigal, Marcus A. Brubaker, David J. Fleet

* 8 pages, 9 figures, accepted to CRV 2018 (Conference on Computer and Robot Vision) 

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Two-Stream Convolutional Networks for Dynamic Texture Synthesis

Apr 12, 2018
Matthew Tesfaldet, Marcus A. Brubaker, Konstantinos G. Derpanis

* In proc. CVPR 2018. Full results available at 

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Find your Way by Observing the Sun and Other Semantic Cues

Jun 23, 2016
Wei-Chiu Ma, Shenlong Wang, Marcus A. Brubaker, Sanja Fidler, Raquel Urtasun

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Building Proteins in a Day: Efficient 3D Molecular Reconstruction

Apr 14, 2015
Marcus A. Brubaker, Ali Punjani, David J. Fleet

* To be presented at IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2015 

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Microscopic Advances with Large-Scale Learning: Stochastic Optimization for Cryo-EM

Jan 27, 2015
Ali Punjani, Marcus A. Brubaker

* Presented at NIPS 2014 Workshop on Machine Learning in Computational Biology 

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Efficient Optimization for Sparse Gaussian Process Regression

Nov 11, 2013
Yanshuai Cao, Marcus A. Brubaker, David J. Fleet, Aaron Hertzmann

* To appear in NIPS 2013 

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