Deepar
PulseAugur coverage of Deepar — every cluster mentioning Deepar across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New framework optimizes 5G resource allocation using probabilistic forecasting
Researchers have developed a new goal-oriented probabilistic forecasting framework to optimize resource allocation in 5G networks. This approach uses the Pinball Loss function with models like DeepAR and Temporal Fusion…
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Decathlon adopts Time Series Foundation Models for scalable demand forecasting
Decathlon is transitioning its demand forecasting operations to Time Series Foundation Models (TSFMs) to address the scalability and efficiency challenges of managing forecasts for tens of thousands of products across m…
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Decathlon scales demand forecasting with Chronos-2 on AWS
Decathlon, a global sporting goods retailer, has adopted the Chronos-2 forecasting model to improve its demand prediction capabilities. The company evaluated multiple time series foundation models and selected Chronos-2…
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New DeRegiME model improves probabilistic forecasting under distribution shift
Researchers have developed DeRegiME, a novel probabilistic forecasting method designed to handle distribution shifts in time series data. This approach uses a deep mixture of experts model with a sparse variational Gaus…