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20162023
most citedBuilding Energy Load Forecasting using Deep Neural Networks

521 citations · 538 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.LG2023★ 6 cited

Spintronic Physical Reservoir for Autonomous Prediction and Long-Term Household Energy Load Forecasting

Walid Al Misba, Harindra S. Mavikumbure, Md Mahadi Rajib +4

In this study, we have shown autonomous long-term prediction with a spintronic physical reservoir. Due to the short-term memory property of the magnetization dynamics, non-linearit…

cs.LG2022

RX-ADS: Interpretable Anomaly Detection using Adversarial ML for Electric Vehicle CAN data

Chathurika S. Wickramasinghe, Daniel L. Marino, Harindra S. Mavikumbure +5

Recent year has brought considerable advancements in Electric Vehicles (EVs) and associated infrastructures/communications. Intrusion Detection Systems (IDS) are widely deployed fo…

cs.LG2022★ 10 cited

Self-Supervised and Interpretable Anomaly Detection using Network Transformers

Daniel L. Marino, Chathurika S. Wickramasinghe, Craig Rieger +1

Monitoring traffic in computer networks is one of the core approaches for defending critical infrastructure against cyber attacks. Machine Learning (ML) and Deep Neural Networks (D…

cs.LG2019

Physics Enhanced Data-Driven Models with Variational Gaussian Processes

Daniel L. Marino, Milos Manic

Centuries of development in natural sciences and mathematical modeling provide valuable domain expert knowledge that has yet to be explored for the development of machine learning…

cs.LG2018★ 1 cited

An Adversarial Approach for Explainable AI in Intrusion Detection Systems

Daniel L. Marino, Chathurika S. Wickramasinghe, Milos Manic

Despite the growing popularity of modern machine learning techniques (e.g. Deep Neural Networks) in cyber-security applications, most of these models are perceived as a black-box f…