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Binary Iterative Hard Thresholding Converges with Optimal Number of
  Measurements for 1-Bit Compressed Sensing

Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing

7 July 2022
Namiko Matsumoto
A. Mazumdar
    MQ
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Papers citing "Binary Iterative Hard Thresholding Converges with Optimal Number of Measurements for 1-Bit Compressed Sensing"

3 / 3 papers shown
Title
Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements
Arya Mazumdar
Neha Sangwan
MQ
38
0
0
21 Feb 2025
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with
  Gradient Methods
Fundamental Limits of Two-layer Autoencoders, and Achieving Them with Gradient Methods
A. Shevchenko
Kevin Kögler
Hamed Hassani
Marco Mondelli
DRL
MLT
24
2
0
27 Dec 2022
Improved Support Recovery in Universal One-bit Compressed Sensing
Improved Support Recovery in Universal One-bit Compressed Sensing
Namiko Matsumoto
Arya Mazumdar
S. Pal
18
3
0
29 Oct 2022
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