Author

Giuseppe Valenzise

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Preprint Aug 2026

Just Noticeable Difference Modeling for Token Compression in Vision-Language-Action Models

Action-JND is introduced, which extends JND modeling to embodied perception by defining noticeability through the language-conditioned action response of a vision-language-action (VLA) policy in closed-loop control, and develops a lightweight token-wise JND estimator in deep visual-feature space to predict the maximum...

Zhuo-Yuan Li, Rui Zhao, Jin Wang et al. · 0 citations

Conference Open access Aug 2026

CutClean: Neural Network Pruning for Privacy-Preserving Inference

CutClean is a privacy-aware pruning method that allows to reduce privacy information flow through the network, while increasing its sparsity, and effectively minimizes private information flow while achieving high sparsity rates and preserving classification target accuracy.

Leonardo Magliolo, Vito Paolo Pastore, Giuseppe Valenzise et al. · International Conference on... · 0 citations

Preprint Jul 2026

Current Injection Spiking Neural Network for Infrared and Visible Image Fusion

CIS-Fuse is proposed, a spiking network that performs cross-modal fusion directly at the membrane-potential level while inheriting the energy efficiency of spike-based computation, with roughly an order of magnitude lower inference energy than the similarly-sized ANN-based DCEvo.

Rui Zhao, Zhuoyuan Li, Wenrui Li et al. · 0 citations