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Daniel Reichman

Depth Separations in Neural Networks: Separating the Dimension from the Accuracy

Feb 11, 2024
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How Many Neurons Does it Take to Approximate the Maximum?

Jul 18, 2023
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Size and depth of monotone neural networks: interpolation and approximation

Jul 12, 2022
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Size and Depth Separation in Approximating Natural Functions with Neural Networks

Feb 03, 2021
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Tight Hardness Results for Training Depth-2 ReLU Networks

Nov 27, 2020
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Cognitive Model Priors for Predicting Human Decisions

May 22, 2019
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Predicting human decisions with behavioral theories and machine learning

Apr 15, 2019
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gprHOG and the popularity of Histogram of Oriented Gradients (HOG) for Buried Threat Detection in Ground-Penetrating Radar

Oct 02, 2018
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A Large-Scale Multi-Institutional Evaluation of Advanced Discrimination Algorithms for Buried Threat Detection in Ground Penetrating Radar

Jun 07, 2018
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Dense labeling of large remote sensing imagery with convolutional neural networks: a simple and faster alternative to stitching output label maps

May 30, 2018
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