Publications associées à A Boolean Approach to Construct Neural Networks for Non-Boolean Problems

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Network Simplification: the Gaussian N-Relay Diamond Network

Christina Fragouli, Ayfer Özgür Aydin

We consider the Gaussian

N

-relay diamond network, where a source wants to communicate to a destination through a layer of

N

-relay nodes. We investigate the following question: What fraction of the capacity can we maintain by using only

k

out of the $ ...

2010

A Boolean Approach to Construct Neural Networks for Non-Boolean Problems

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Chattez avec Graph Search

Training Distributed Neural Networks by Consensus

Network Simplification: the Gaussian N-Relay Diamond Network

Reaction Enthalpies Using the Neural-Network-Based X1 Approach: The Important Choice of Input Descriptors

Complex networks

Combining Multiple Results of a Reverse Engineering Algorithm: Application to the DREAM Five Gene Network Challenge

Evolvability of Neuromodulated Learning for Robots

An oscillatory neuromotor model of handwriting generation

Artificial neural networks in spectrum fatigue life prediction of composite materials

On pooling networks and fluctuation in suboptimal detection framework

Fault-Tolerant Logic Gates Using Neuromorphic CMOS Circuits

Network Simplification: the Gaussian N-Relay Diamond Network

Complex networks

Reaction Enthalpies Using the Neural-Network-Based X1 Approach: The Important Choice of Input Descriptors

An oscillatory neuromotor model of handwriting generation

Training Distributed Neural Networks by Consensus

Combining Multiple Results of a Reverse Engineering Algorithm: Application to the DREAM Five Gene Network Challenge

On pooling networks and fluctuation in suboptimal detection framework

Artificial neural networks in spectrum fatigue life prediction of composite materials

Fault-Tolerant Logic Gates Using Neuromorphic CMOS Circuits

Evolvability of Neuromodulated Learning for Robots