Protein Secondary Structure Prediction with Long Short Term Memory Networks. - Søren Kaae Sønderby; Ole Winther (CoRR, 2014)

Convolutional LSTM Networks for Subcellular Localization of Proteins. - Søren Kaae Sønderby; Casper Kaae Sønderby; Henrik Nielsen; Ole Winther (AlCoB, 2015)

Autoencoding beyond pixels using a learned similarity metric. - Anders Boesen Lindbo Larsen; Søren Kaae Sønderby; Ole Winther (CoRR, 2015)

Recurrent Spatial Transformer Networks. - Søren Kaae Sønderby; Casper Kaae Sønderby; Lars Maaløe; Ole Winther (CoRR, 2015)

Autoencoding beyond pixels using a learned similarity metric. - Anders Boesen Lindbo Larsen; Søren Kaae Sønderby; Hugo Larochelle; Ole Winther (ICML, 2016)

Auxiliary Deep Generative Models. - Lars Maaløe; Casper Kaae Sønderby; Søren Kaae Sønderby; Ole Winther (ICML, 2016)

Sequential Neural Models with Stochastic Layers. - Marco Fraccaro; Søren Kaae Sønderby; Ulrich Paquet; Ole Winther (NIPS, 2016)

Ladder Variational Autoencoders. - Casper Kaae Sønderby; Tapani Raiko; Lars Maaløe; Søren Kaae Sønderby; Ole Winther (NIPS, 2016)

How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks. - Casper Kaae Sønderby; Tapani Raiko; Lars Maaløe; Søren Kaae Sønderby; Ole Winther (CoRR, 2016)

Deep Recurrent Conditional Random Field Network for Protein Secondary Prediction. - Alexander Rosenberg Johansen; Casper Kaae Sønderby; Søren Kaae Sønderby; Ole Winther (BCB, 2017)

DeepLoc: prediction of protein subcellular localization using deep learning. - José Juan Almagro Armenteros; Casper Kaae Sønderby; Søren Kaae Sønderby; Henrik Nielsen; Ole Winther (Bioinform., 2017)

An introduction to deep learning on biological sequence data: examples and solutions. - Vanessa Isabell Jurtz; Alexander Rosenberg Johansen; Morten Nielsen 001; José Juan Almagro Armenteros; Henrik Nielsen; Casper Kaae Sønderby; Ole Winther; Søren Kaae Sønderby (Bioinform., 2017)