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John Paisley

UC Berkeley

Information Geometry and Beta Link for Optimizing Sparse Variational Student-t Processes

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Aug 13, 2024
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Fully Bayesian Differential Gaussian Processes through Stochastic Differential Equations

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Aug 12, 2024
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Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling

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Aug 07, 2024
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Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference

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Jul 24, 2024
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Entropy-Informed Weighting Channel Normalizing Flow

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Jul 06, 2024
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Gaussian Process Neural Additive Models

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Feb 19, 2024
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Double Normalizing Flows: Flexible Bayesian Gaussian Process ODEs Learning

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Sep 17, 2023
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Bayesian Beta-Bernoulli Process Sparse Coding with Deep Neural Networks

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Mar 14, 2023
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Nonlinear Kalman Filtering with Reparametrization Gradients

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Mar 08, 2023
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Self-Verification in Image Denoising

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Nov 01, 2021
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