Random matrices in service of ML footprint: ternary random features with no performance loss

5 October 2021

Papers citing "Random matrices in service of ML footprint: ternary random features with no performance loss"

3 / 3 papers shown

Title
Random Matrix Analysis to Balance between Supervised and Unsupervised Learning under the Low Density Separation Assumption Vasilii Feofanov Malik Tiomoko Aladin Virmaux 31 5 0 20 Oct 2023
On the Equivalence between Implicit and Explicit Neural Networks: A High-dimensional Viewpoint Zenan Ling Zhenyu Liao Robert C. Qiu 34 0 0 31 Aug 2023
Largest Eigenvalues of the Conjugate Kernel of Single-Layered Neural Networks L. Benigni Sandrine Péché 34 8 0 13 Jan 2022