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Machine learning in spectral domain

Computer Science

Machine learning in spectral domain

L. Giambagli, L. Buffoni, et al.

This innovative research by Lorenzo Giambagli, Lorenzo Buffoni, Timoteo Carletti, Walter Nocentini, and Duccio Fanelli introduces a unique machine learning method that leverages reciprocal space for performance enhancement. By modifying eigenvalues while keeping eigenvectors static, this approach surpasses conventional techniques, making it adaptable across various frameworks, including reservoir computing.... show more
Citation Metrics
Citations
34
Influential Citations
1
Reference Count
30
Citation by Year

Note: The citation metrics presented here have been sourced from Semantic Scholar and OpenAlex.

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