From gates to multi-processors learning systems hands-on with FPGA4U in a computer science programme

Paolo Ienne, Claudio Favi, Xavier Jimenez, René Beuchat
2009
Conference Papers

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Paolo Ienne, Claudio Favi, Xavier Jimenez, René Beuchat
2009
Conference Papers

Official source

Related publications (3)

https://infoscience.epfl.ch/entities/publication/548e41fe-ac67-4d5f-8246-25923d75b19e

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Related publications (3)

LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions

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Recent research has shown that it is possible to find interpretable directions in the latent spaces of pre-trained Generative Adversarial Networks (GANs). These directions enable controllable image generation and support a wide range of semantic editing op ...

IEEE2021

Exploiting Errors for Efficiency: A Survey from Circuits to Applications

Babak Falsafi, Alexandros Daglis, Dorde Jevdic, Eva Darulova, Mattia Cacciotti

When a computational task tolerates a relaxation of its specification or when an algorithm tolerates the effects of noise in its execution, hardware, system software, and programming language compilers or their runtime systems can trade deviations from cor ...

ASSOC COMPUTING MACHINERY2020

Decentralized Decision-Making Over Multi-Task Networks

Ali H. Sayed

In important applications involving multi-task networks with multiple objectives, agents in the network need to decide between these multiple objectives and reach an agreement about which single objective to follow for the network. In this work we propose ...

ELSEVIER SCIENCE BV2019