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Richard G. Baraniuk

Out-of-Distribution Detection Using Neural Rendering Generative Models

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Jul 10, 2019
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IdeoTrace: A Framework for Ideology Tracing with a Case Study on the 2016 U.S. Presidential Election

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May 30, 2019
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Thresholding Graph Bandits with GrAPL

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May 22, 2019
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RACE: Sub-Linear Memory Sketches for Approximate Near-Neighbor Search on Streaming Data

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Apr 09, 2019
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Representing Formal Languages: A Comparison Between Finite Automata and Recurrent Neural Networks

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Feb 27, 2019
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Adaptive Estimation for Approximate k-Nearest-Neighbor Computations

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Feb 25, 2019
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From Hard to Soft: Understanding Deep Network Nonlinearities via Vector Quantization and Statistical Inference

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Oct 22, 2018
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prDeep: Robust Phase Retrieval with a Flexible Deep Network

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Jun 29, 2018
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MISSION: Ultra Large-Scale Feature Selection using Count-Sketches

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Jun 12, 2018
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Unsupervised Learning with Stein's Unbiased Risk Estimator

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May 26, 2018
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