activity
20172024
most citedUltra-low power nonlinear optics in a high Q CMOS compatible integrated micro-ring resonator

190 citations · 265 across the 10 of their papers we have counts for

collaborators
Showing cs.LGShow all

1 paper · 1 filter

cs.LG2022★ 2 cited

PCA-Boosted Autoencoders for Nonlinear Dimensionality Reduction in Low Data Regimes

Muhammad Al-Digeil, Yuri Grinberg, Daniele Melati3 +5

Autoencoders (AE) provide a useful method for nonlinear dimensionality reduction but are ill-suited for low data regimes. Conversely, Principal Component Analysis (PCA) is data-eff…