activity
20242026
collaborators

22 papers

cs.LG2026

MAUPITI: On-Device Prototype-Based Learning on a Smart Infrared Sensor

Beatrice Alessandra Motetti, Tanguy Dugas du Villard, Matteo Risso +7

Low-resolution infrared (IR) array sensors represent an interesting solution for privacy-preserving human sensing in embedded systems. In this letter, we describe a smart multi-pix…

cs.AI2026

A Hardware-oriented Approach for Efficient Bayesian Inference Computation and Deployment

Nikola Pižurica, Matteo Risso, Nikola Milović +4

Bayesian inference provides a principled foundation for reasoning under uncertainty, but its computational cost hinders deployment on resource-constrained edge devices. In this pap…

cs.RO2026

Before Parc Fermé: RL-Time Pruning for Efficient Embodied LLMs in Autonomous Driving

Luca Benfenati, Ali Azimi, Matteo Risso +3

Embodied Large Language Models (LLMs) are increasingly used as reasoning modules in robotic control pipelines to improve human-robot interaction, but their memory and generation la…

cs.LG2026

Don't be so Stief! Learning KV Cache low-rank approximation over the Stiefel manifold

Luca Benfenati, Matteo Risso, Andrea Vannozzi +5

Key-value (KV) caching enables fast autoregressive decoding but at long contexts becomes a dominant bottleneck in High Bandwidth Memory (HBM) capacity and bandwidth. A common mitig…

cs.LG2026

End-to-end Automated Deep Neural Network Optimization for PPG-based Blood Pressure Estimation on Wearables

Francesco Carlucci, Giovanni Pollo, Xiaying Wang +6

Photoplethysmography (PPG)-based blood pressure (BP) estimation is a challenging task, particularly on resource-constrained wearable devices. However, fully on-board processing is…

cs.AR2026

Late Breaking Results: CHESSY: Coupled Hybrid Emulation with SystemC-FPGA Synchronization

Lorenzo Ruotolo, Giovanni Pollo, Mohamed Amine Hamdi +7

The growing complexity of cyber-physical systems (CPSs) calls for early prototyping tools that combine accuracy, speed, and usability. Virtual Platforms (VPs) provide fast function…