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04/08/2022
Fast metric embedding into the Hamming cube
We consider the problem of embedding a subset of ℝ^n into a low-dimensio...
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01/13/2022
Sharp estimates on random hyperplane tessellations
We study the problem of generating a hyperplane tessellation of an arbit...
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07/31/2021
The Separation Capacity of Random Neural Networks
Neural networks with random weights appear in a variety of machine learn...
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09/19/2020
A Unified Approach to Uniform Signal Recovery From Non-Linear Observations
Recent advances in quantized compressed sensing and high-dimensional est...
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09/17/2020
Binarized Johnson-Lindenstrauss embeddings
We consider the problem of encoding a set of vectors into a minimal numb...
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11/18/2019
Quantized Compressed Sensing by Rectified Linear Units
This work is concerned with the problem of recovering high-dimensional s...
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04/13/2018