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NR vitenarkiv [249]
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Automatic identification of chemical moieties
(Journal article; Peer reviewed, 2023)In recent years, the prediction of quantum mechanical observables with machine learning methods has become increasingly popular. Message-passing neural networks (MPNNs) solve this task by constructing atomic representations, ... -
Some recent trends in embeddings of time series and dynamic networks
(Journal article; Peer reviewed, 2023)We give a review of some recent developments in embeddings of time series and dynamic networks. We start out with traditional principal components and then look at extensions to dynamic factor models for time series. Unlike ... -
View it like a radiologist: Shifted windows for deep learning augmentation of CT images
(Journal article; Peer reviewed, 2023)Deep learning has the potential to revolutionize medical practice by automating and performing important tasks like detecting and delineating the size and locations of cancers in medical images. However, most deep learning ... -
Statistical Embedding: Beyond Principal Components
(Journal article; Peer reviewed, 2023)There has been an intense recent activity in embedding of very high-dimensional and nonlinear data structures, much of it in the data science and machine learning literature. We survey this activity in four parts. In the ... -
Earthquake Catalog Processing and Swarm Identification for the Pacific Northwest
(Journal article; Peer reviewed, 2023)The Pacific Northwest (PNW) of North America encompasses diverse tectonic settings that can produce damaging earthquakes near population centers. Seismicity in this region is often clustered into aftershock sequences and ...
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