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Jonathan W. Pillow

Modeling Neural Activity with Conditionally Linear Dynamical Systems

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Feb 25, 2025
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Spectral learning of Bernoulli linear dynamical systems models for decision-making

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Mar 03, 2023
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Bayesian Active Learning for Discrete Latent Variable Models

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Feb 27, 2022
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Loss-calibrated expectation propagation for approximate Bayesian decision-making

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Jan 10, 2022
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High-contrast "gaudy" images improve the training of deep neural network models of visual cortex

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Jun 13, 2020
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Unifying and generalizing models of neural dynamics during decision-making

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Jan 13, 2020
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Efficient non-conjugate Gaussian process factor models for spike count data using polynomial approximations

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Jun 07, 2019
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Shared Representational Geometry Across Neural Networks

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Nov 28, 2018
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Exploiting gradients and Hessians in Bayesian optimization and Bayesian quadrature

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Mar 29, 2018
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Dependent relevance determination for smooth and structured sparse regression

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Dec 05, 2017
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