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High-contrast "gaudy" images improve the training of deep neural network models of visual cortex


Jun 13, 2020
Benjamin R. Cowley, Jonathan W. Pillow


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Unifying and generalizing models of neural dynamics during decision-making


Jan 13, 2020
David M. Zoltowski, Jonathan W. Pillow, Scott W. Linderman


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Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations


Jun 07, 2019
Stephen L. Keeley, David M. Zoltowski, Yiyi Yu, Jacob L. Yates, Spencer L. Smith, Jonathan W. Pillow


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Shared Representational Geometry Across Neural Networks


Nov 28, 2018
Qihong Lu, Po-Hsuan Chen, Jonathan W. Pillow, Peter J. Ramadge, Kenneth A. Norman, Uri Hasson

* Integration of Deep Learning Theories workshop, NeurIPS 2018 

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Exploiting gradients and Hessians in Bayesian optimization and Bayesian quadrature


Mar 29, 2018
Anqi Wu, Mikio C. Aoi, Jonathan W. Pillow

* 20 pages, 8 figures 

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Dependent relevance determination for smooth and structured sparse regression


Dec 05, 2017
Anqi Wu, Oluwasanmi Koyejo, Jonathan W. Pillow

* 38 pages, 12 figures, submitted to JMLR 

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Bayesian latent structure discovery from multi-neuron recordings


Oct 26, 2016
Scott W. Linderman, Ryan P. Adams, Jonathan W. Pillow

* 11 pages, 5 figures, to appear in Advances in Neural Information Processing Systems 2016 

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