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01/31/2023
A Bayesian Generative Adversarial Network (GAN) to Generate Synthetic Time-Series Data, Application in Combined Sewer Flow Prediction
Despite various breakthroughs in machine learning and data analysis tech...
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10/14/2022
Quantifying Quality of Class-Conditional Generative Models in Time-Series Domain
Generative models are designed to address the data scarcity problem. Eve...
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01/21/2022
Random Noise vs State-of-the-Art Probabilistic Forecasting Methods : A Case Study on CRPS-Sum Discrimination Ability
The recent developments in the machine learning domain have enabled the ...
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05/03/2020
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN
The contribution of this paper is two-fold. First, we present ProbCast -...
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03/29/2019
