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Eric Nalisnick

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Predictive Complexity Priors

Jul 01, 2020
Eric Nalisnick, Jonathan Gordon, José Miguel Hernández-Lobato

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Normalizing Flows for Probabilistic Modeling and Inference

Dec 05, 2019
George Papamakarios, Eric Nalisnick, Danilo Jimenez Rezende, Shakir Mohamed, Balaji Lakshminarayanan

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Bayesian Batch Active Learning as Sparse Subset Approximation

Aug 06, 2019
Robert Pinsler, Jonathan Gordon, Eric Nalisnick, José Miguel Hernández-Lobato

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Detecting Out-of-Distribution Inputs to Deep Generative Models Using a Test for Typicality

Jun 07, 2019
Eric Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Balaji Lakshminarayanan

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Hybrid Models with Deep and Invertible Features

Feb 07, 2019
Eric Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Gorur, Balaji Lakshminarayanan

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Do Deep Generative Models Know What They Don't Know?

Oct 22, 2018
Eric Nalisnick, Akihiro Matsukawa, Yee Whye Teh, Dilan Gorur, Balaji Lakshminarayanan

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Unifying the Dropout Family Through Structured Shrinkage Priors

Oct 09, 2018
Eric Nalisnick, Padhraic Smyth

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Mondrian Processes for Flow Cytometry Analysis

Nov 28, 2017
Disi Ji, Eric Nalisnick, Padhraic Smyth

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Learning Approximately Objective Priors

Aug 04, 2017
Eric Nalisnick, Padhraic Smyth

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