15 citations · 41 across the 16 of their papers we have counts for
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cs.CL2023
Deep Anomaly Detection in Text
Andrei Manolache
Deep anomaly detection methods have become increasingly popular in recent years, with methods like Stacked Autoencoders, Variational Autoencoders, and Generative Adversarial Networ…
cs.LG2023
Time Series Anomaly Detection using Diffusion-based Models
Ioana Pintilie, Andrei Manolache, Florin Brad
Diffusion models have been recently used for anomaly detection (AD) in images. In this paper we investigate whether they can also be leveraged for AD on multivariate time series (M…
cs.LG2023★ 4 cited
Probabilistically Rewired Message-Passing Neural Networks
Chendi Qian, Andrei Manolache, Kareem Ahmed +4
Message-passing graph neural networks (MPNNs) emerged as powerful tools for processing graph-structured input. However, they operate on a fixed input graph structure, ignoring pote…