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20222026
most citedHyperspectral Image Denoising Using Non-convex Local Low-rank and Sparse Separation with Spatial-Spectral Total Variation Regularization

35 citations · 36 across the 3 of their papers we have counts for

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cs.LG2026

Predicting When Random Low-Dimensional Reparameterizations Train Neural Networks

Andrew Cheng, Ali Eslamian, Jie Cheng +2

Neural networks can often be trained or fine-tuned through random low-dimensional reparameterization, where a small latent vector is mapped into a full parameter update by a frozen…