16 citations · 16 across the 3 of their papers we have counts for
3 papers
cs.SI2025
The Significance of User Characteristics for Reposting Prediction on X: A Comparative Analysis Under Distribution Shift
Ziming Xu, Shi Zhou, Vasileios Lampos +1
Understanding information diffusion on X (formerly Twitter) requires accurate modelling of reposting behaviour. Most existing work predicts reposting under in-distribution settings…
cs.NE2024
Digital-analog hybrid matrix multiplication processor for optical neural networks
Xiansong Meng, Deming Kong, Kwangwoong Kim +5
The computational demands of modern AI have spurred interest in optical neural networks (ONNs) which offer the potential benefits of increased speed and lower power consumption. Ho…
cs.LG2020★ 16 cited
A Loss Function for Generative Neural Networks Based on Watson's Perceptual Model
Steffen Czolbe, Oswin Krause, Ingemar Cox +1
To train Variational Autoencoders (VAEs) to generate realistic imagery requires a loss function that reflects human perception of image similarity. We propose such a loss function…