This repository contains data and code for our Bigcomp 2018 paper"T-CONV: A Convolutional Neural Network for Multi-scale Taxi Trajectory Prediction" Please cite this paper if you use our code or data.
This is the official implementation of the paper Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction. This paper proposes a novel message passing ...
Networks of neurons can perform computations that have proved very difficult to emulate in conventional computers ... can we characterize the dynamics of neural networks with recurrent connections?
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New training technique opens the door to neural networks that require much less energy"In conventional neural networks, the output signals change gradually," says Memmesheimer, who is also a member of the Life and Health Transdisciplinary Research Area. "For example, the output ...
Traditional artificial intelligence (AI) systems are built on artificial neural networks that mimic the human brain’s neurons ...
Researchers applied the mathematical theory of synchronization to clarify how recurrent neural networks (RNNs) generate predictions, revealing a certain map, based on the generalized synchronization, ...
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