Francesco Martinuzzi
@martinuzzi.bsky.social
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.
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In my new paper, I demonstrate that deterministically constructed reservoirs with minimal topologies (MESNs) consistently outperform conventional random-initialized ESNs.
1/2
September 9, 2025 at 7:46 AM
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
In my new paper, I demonstrate that deterministically constructed reservoirs with minimal topologies (MESNs) consistently outperform conventional random-initialized ESNs.
1/2
Reposted by Francesco Martinuzzi
So, we managed to survive review and published it is: npg.copernicus.org/articles/31/...
November 16, 2024 at 5:44 PM
So, we managed to survive review and published it is: npg.copernicus.org/articles/31/...
SpectralIndices.jl v0.2.0 is out!
Dive into enriched docs with DataFrames & YAXArrays examples and enjoy significantly faster index computations. Upgrade now for a smoother experience!
#JuliaLang #SpectralIndices
Dive into enriched docs with DataFrames & YAXArrays examples and enjoy significantly faster index computations. Upgrade now for a smoother experience!
#JuliaLang #SpectralIndices
February 7, 2024 at 9:12 AM
SpectralIndices.jl v0.2.0 is out!
Dive into enriched docs with DataFrames & YAXArrays examples and enjoy significantly faster index computations. Upgrade now for a smoother experience!
#JuliaLang #SpectralIndices
Dive into enriched docs with DataFrames & YAXArrays examples and enjoy significantly faster index computations. Upgrade now for a smoother experience!
#JuliaLang #SpectralIndices
Reposted by Francesco Martinuzzi
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
October 18, 2023 at 9:35 AM
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