128 citations · 139 across the 12 of their papers we have counts for
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cs.LG2023
Towards Computational Performance Engineering for Unsupervised Concept Drift Detection -- Complexities, Benchmarking, Performance Analysis
Elias Werner, Nishant Kumar, Matthias Lieber +3
Concept drift detection is crucial for many AI systems to ensure the system's reliability. These systems often have to deal with large amounts of data or react in real-time. Thus,…
cs.LG2021★ 5 cited
InFlow: Robust outlier detection utilizing Normalizing Flows
Nishant Kumar, Pia Hanfeld, Michael Hecht +3
Normalizing flows are prominent deep generative models that provide tractable probability distributions and efficient density estimation. However, they are well known to fail while…
cs.LG2021★ 128 cited
Applications of deep learning in traffic congestion detection, prediction and alleviation: A survey
Nishant Kumar, Martin Raubal
Detecting, predicting, and alleviating traffic congestion are targeted at improving the level of service of the transportation network. With increasing access to larger datasets of…