Alireza Koochali | DeepAI

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Andreas Dengel
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Sheraz Ahmed
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Peter Schichtel
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Sheraz Ahmad
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Maria Walch
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Sankrutyayan Thota
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Amin E. Bakhshipour
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Ulrich Dittmer
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Ali Haghighi
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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...

0 Amin E. Bakhshipour, et al. ∙

∙ 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...

0 Alireza Koochali, et al. ∙

∙ 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 ...

0 Alireza Koochali, et al. ∙

∙ 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 -...

0 Alireza Koochali, et al. ∙

∙ 03/29/2019

Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGAN

Time series forecasting is one of the challenging problems for humankind...

0 Alireza Koochali, et al. ∙

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