Search Results for author: Shayan Jawed

Found 6 papers, 4 papers with code

Forecasting Early with Meta Learning

1 code implementation19 Jul 2023 Shayan Jawed, Kiran Madhusudhanan, Vijaya Krishna Yalavarthi, Lars Schmidt-Thieme

In the early observation period of a time series, there might be only a few historic observations available to learn a model.

Meta-Learning Multi-Task Learning +1

Forecasting Irregularly Sampled Time Series using Graphs

1 code implementation22 May 2023 Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Sholz, Nourhan Ahmed, Johannes Burchert, Shayan Jawed, Stefan Born, Lars Schmidt-Thieme

Forecasting irregularly sampled time series with missing values is a crucial task for numerous real-world applications such as healthcare, astronomy, and climate sciences.

Astronomy Multivariate Time Series Forecasting +1

Auxiliary Quantile Forecasting with Linear Networks

1 code implementation5 Dec 2022 Shayan Jawed, Lars Schmidt-Thieme

We show that following similar intuition from multi-task learning to exploit correlations among forecast horizons, we can model multiple quantile estimates as auxiliary tasks for each of the forecast horizon to improve forecast accuracy across the quantile estimates compared to modeling only a single quantile estimate.

Multi-Task Learning Time Series +1

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