20 citations · 32 across the 13 of their papers we have counts for
Showing 2024Show all
3 papers · 1 filter
cs.LG2024★ 3 cited
Anomaly detection using Diffusion-based methods
Aryan Bhosale, Samrat Mukherjee, Biplab Banerjee +1
This paper explores the utility of diffusion-based models for anomaly detection, focusing on their efficacy in identifying deviations in both compact and high-resolution datasets.…
cs.LG2024
Deep evolving semi-supervised anomaly detection
Jack Belham, Aryan Bhosale, Samrat Mukherjee +2
The aim of this paper is to formalise the task of continual semi-supervised anomaly detection (CSAD), with the aim of highlighting the importance of such a problem formulation whic…
cs.LG2024
Generalising realisability in statistical learning theory under epistemic uncertainty
Fabio Cuzzolin
The purpose of this paper is to look into how central notions in statistical learning theory, such as realisability, generalise under the assumption that train and test distributio…