7 citations · 13 across the 3 of their papers we have counts for
4 papers
Constrained deep neural network architecture search for IoT devices accounting hardware calibration
Florian Scheidegger, Luca Benini, Costas Bekas +1
Deep neural networks achieve outstanding results in challenging image classification tasks. However, the design of network topologies is a complex task and the research community m…
PAGAN: Portfolio Analysis with Generative Adversarial Networks
Giovanni Mariani, Yada Zhu, Jianbo Li +4
Since decades, the data science community tries to propose prediction models of financial time series. Yet, driven by the rapid development of information technology and machine in…
NeuNetS: An Automated Synthesis Engine for Neural Network Design
Atin Sood, Benjamin Elder, Benjamin Herta +17
Application of neural networks to a vast variety of practical applications is transforming the way AI is applied in practice. Pre-trained neural network models available through AP…
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…