15 citations · 15 across the 2 of their papers we have counts for
3 papers
Additive Noise Annealing and Approximation Properties of Quantized Neural Networks
Matteo Spallanzani, Lukas Cavigelli, Gian Paolo Leonardi +2
We present a theoretical and experimental investigation of the quantization problem for artificial neural networks. We provide a mathematical definition of quantized neural network…
Design Automation for Binarized Neural Networks: A Quantum Leap Opportunity?
Manuele Rusci, Lukas Cavigelli, Luca Benini
Design automation in general, and in particular logic synthesis, can play a key role in enabling the design of application-specific Binarized Neural Networks (BNN). This paper pres…
Hydra: An Accelerator for Real-Time Edge-Aware Permeability Filtering in 65nm CMOS
Manuel Eggimann, Christelle Gloor, Florian Scheidegger +4
Many modern video processing pipelines rely on edge-aware (EA) filtering methods. However, recent high-quality methods are challenging to run in real-time on embedded hardware due…