Search Results for author: Benjamin Schrauwen

Found 7 papers, 0 papers with code

Factoring Variations in Natural Images with Deep Gaussian Mixture Models

no code implementations NeurIPS 2014 Aaron Van Den Oord, Benjamin Schrauwen

In this paper we propose a new scalable deep generative model for images, called the Deep Gaussian Mixture Model, that is a straightforward but powerful generalization of GMMs to multiple layers.

Ranked #69 on Image Generation on CIFAR-10 (bits/dimension metric)

Density Estimation Image Generation +1

Memristor models for machine learning

no code implementations9 Jun 2014 Juan Pablo Carbajal, Joni Dambre, Michiel Hermans, Benjamin Schrauwen

In this work, we explore the use of memristor networks for analog approximate computation, based on a machine learning framework called reservoir computing.

BIG-bench Machine Learning

Deep content-based music recommendation

no code implementations NeurIPS 2013 Aaron Van Den Oord, Sander Dieleman, Benjamin Schrauwen

We also show that recent advances in deep learning translate very well to the music recommendation setting, with deep convolutional neural networks significantly outperforming the traditional approach.

Collaborative Filtering Music Recommendation +1

Analog readout for optical reservoir computers

no code implementations NeurIPS 2012 Anteo Smerieri, François Duport, Yvon Paquot, Benjamin Schrauwen, Marc Haelterman, Serge Massar

Operating speeds allowing for real time information operation have been reached using optoelectronic systems.

A P300 BCI for the Masses: Prior Information Enables Instant Unsupervised Spelling

no code implementations NeurIPS 2012 Pieter-Jan Kindermans, Hannes Verschore, David Verstraeten, Benjamin Schrauwen

The usability of Brain Computer Interfaces (BCI) based on the P300 speller is severely hindered by the need for long training times and many repetitions of the same stimulus.

Transfer Learning

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