8 citations · 10 across the 3 of their papers we have counts for
3 papers
A Temporal Stochastic Bias Correction using a Machine Learning Attention model
Omer Nivron, Damon J. Wischik, Mathieu Vrac +2
Climate models are biased with respect to real-world observations. They usually need to be adjusted before being used in impact studies. The suite of statistical methods that enabl…
Taylorformer: Probabilistic Modelling for Random Processes including Time Series
Omer Nivron, Raghul Parthipan, Damon J. Wischik
We propose the Taylorformer for random processes such as time series. Its two key components are: 1) the LocalTaylor wrapper which adapts Taylor approximations (used in dynamical s…
ML framework for global river flood predictions based on the Caravan dataset
Ioanna Bouri, Manu Lahariya, Omer Nivron +4
Reliable prediction of river floods in the first 72 hours can reduce harm because emergency agencies have sufficient time to prepare and deploy for help at the scene. Such river fl…