Francesco Martinuzzi's Avatar

Francesco Martinuzzi

@martinuzzi.bsky.social

Postdoctoral researcher | Chaos and ML | @mpipks.bsky.social https://martinuzzi.net

217 Followers  |  190 Following  |  3 Posts  |  Joined: 28.11.2023  |  1.6062

Latest posts by martinuzzi.bsky.social on Bluesky

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Minimal deterministic echo state networks outperform random reservoirs in learning chaotic dynamics Machine learning (ML) is widely used to model chaotic systems. Among ML approaches, echo state networks (ESNs) have received considerable attention due to their

Why it matters:
- More reliable than random-initialized models
- Lower tuning overhead, less trial and error
- Stronger stability across runs

๐Ÿ“„ Read more: pubs.aip.org/aip/cha/arti...

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09.09.2025 07:46 โ€” ๐Ÿ‘ 0    ๐Ÿ” 0    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0

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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09.09.2025 07:46 โ€” ๐Ÿ‘ 1    ๐Ÿ” 0    ๐Ÿ’ฌ 1    ๐Ÿ“Œ 0

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

16.11.2024 17:44 โ€” ๐Ÿ‘ 7    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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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

07.02.2024 09:12 โ€” ๐Ÿ‘ 3    ๐Ÿ” 1    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 0
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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! ๐ŸŒฑ๐ŸŒ ๐Ÿ”—https://doi.org/10.5194/egusphere-2023-2368

18.10.2023 09:35 โ€” ๐Ÿ‘ 6    ๐Ÿ” 3    ๐Ÿ’ฌ 0    ๐Ÿ“Œ 1

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