most citedAutomated Design Space Exploration for optimised Deployment of DNN on Arm Cortex-A CPUs

11 citations · 20 across the 5 of their papers we have counts for

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cs.AI2026

Bio-inspired Learning and Decision-Making with Probabilistic In-Memory Computing Hardware: Part 1

Thomas Dalgaty, Eiji Kawasaki, Miguel de Prado +2

Learning and decision-making in animals are often modeled as Bayesian processes, where sensory evidence is integrated with prior beliefs to guide behavior in the face of uncertaint…

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…