655 citations · 2.7k across the 49 of their papers we have counts for
9 papers · 1 filter
Autoencoding beyond pixels using a learned similarity metric
Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, Hugo Larochelle +1
We present an autoencoder that leverages learned representations to better measure similarities in data space. By combining a variational autoencoder with a generative adversarial…
Recurrent Spatial Transformer Networks
Søren Kaae Sønderby, Casper Kaae Sønderby, Lars Maaløe +1
We integrate the recently proposed spatial transformer network (SPN) [Jaderberg et. al 2015] into a recurrent neural network (RNN) to form an RNN-SPN model. We use the RNN-SPN to c…
Bayesian inference for spatio-temporal spike-and-slab priors
Michael Riis Andersen, Aki Vehtari, Ole Winther +1
In this work, we address the problem of solving a series of underdetermined linear inverse problems subject to a sparsity constraint. We generalize the spike-and-slab prior distrib…
A Theory of Solving TAP Equations for Ising Models with General Invariant Random Matrices
Manfred Opper, Burak Çakmak, Ole Winther
We consider the problem of solving TAP mean field equations by iteration for Ising model with coupling matrices that are drawn at random from general invariant ensembles. We develo…
Spatio-temporal Spike and Slab Priors for Multiple Measurement Vector Problems
Michael Riis Andersen, Ole Winther, Lars Kai Hansen
We are interested in solving the multiple measurement vector (MMV) problem for instances, where the underlying sparsity pattern exhibit spatio-temporal structure motivated by the e…
Convolutional LSTM Networks for Subcellular Localization of Proteins
Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen +1
Machine learning is widely used to analyze biological sequence data. Non-sequential models such as SVMs or feed-forward neural networks are often used although they have no natural…
S-AMP for Non-linear Observation Models
Burak Çakmak, Ole Winther, Bernard H. Fleury
Recently we extended Approximate message passing (AMP) algorithm to be able to handle general invariant matrix ensembles. In this contribution we extend our S-AMP approach to non-l…
Deep Belief Nets for Topic Modeling
Lars Maaloe, Morten Arngren, Ole Winther
Applying traditional collaborative filtering to digital publishing is challenging because user data is very sparse due to the high volume of documents relative to the number of use…
Protein Secondary Structure Prediction with Long Short Term Memory Networks
Søren Kaae Sønderby, Ole Winther
Prediction of protein secondary structure from the amino acid sequence is a classical bioinformatics problem. Common methods use feed forward neural networks or SVMs combined with…