Author

Luca Ratti

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Preprint Aug 2026

A geometry-based deep equilibrium model for image restoration under multiplicative Gamma noise

Experimental results on both grayscale and color image restoration demonstrate that the proposed method consistently outperforms representative model-based approaches while achieving performance comparable to state-of-the-art DEQ models based on implicit regularization, despite requiring substantially fewer trainable parameters.

Shengkun Yang, Luca Ratti, Zhi-chang Guo · 0 citations

Preprint Jul 2026

Statistical inverse learning and $\ell^1$-regularization

It is proved that membership in the approximation space $k_t$ is equivalent to polynomial decay of the best $n$-term approximation error, which is equivalent to polynomial decay of the best $n$-term approximation error.

Abhishake Rastogi, T. Bubba, T. Helin et al. · 0 citations