What is the minimally effective way to construct a reservoir computer that can learn chaotic dynamics? In my new paper, I demonstrate that deterministically constructed reservoirs with minimal topologies (MESNs) consistently outperform conventional random-initialized ESNs. 1/2

So, we managed to survive review and published it is: npg.copernicus.org/articles/31/...

Learning extreme vegetation response to climate drivers with recurrent neural networks

Abstract. The spectral signatures of vegetation are indicative of ecosystem states and health. Spectral indices used to monitor vegetation are characterized by long-term trends, seasonal fluctuations,...

npg.copernicus.org

Miguel D. Mahecha@miguelmahecha.bsky.social · 3y ago

Happy for PhD cand Francesco Martinuzzi for having is paper in discussion comparing various RNNs in modelling vegetation responses ... there are still arguments for #ESNs, but all models struggled to capture impact of extremes. More research needed! 🌱🌍 🔗https://doi.org/10.5194/egusphere-2023-2368

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Happy for PhD cand Francesco Martinuzzi for having is paper in discussion comparing various RNNs in modelling vegetation responses ... there are still arguments for #ESNs, but all models struggled to capture impact of extremes. More research needed! 🌱🌍 🔗https://doi.org/10.5194/egusphere-2023-2368