Dataset Groups Activity Stream Generative time series models using Neural ODE in Variational Autoencoders The dataset consists of time series data in the form of spring oscillations, solar power production data, and spiral data. BibTex: @dataset{Marcus_Lenler_Garsdal_and_Valdemar_Søgaard_and_Simon_Moe_Sørensen_2024, abstract = {The dataset consists of time series data in the form of spring oscillations, solar power production data, and spiral data.}, author = {Marcus Lenler Garsdal and Valdemar Søgaard and Simon Moe Sørensen}, doi = {10.57702/ww48b5is}, institution = {No Organization}, keyword = {'Neural ODE', 'Time Series', 'Variational Autoencoder'}, month = {dec}, publisher = {TIB}, title = {Generative time series models using Neural ODE in Variational Autoencoders}, url = {https://service.tib.eu/ldmservice/dataset/generative-time-series-models-using-neural-ode-in-variational-autoencoders}, year = {2024} }
