Søren Kaae Sønderby

Publication Activity (10 Years)

Years Active: 2014-2017
Publications (10 Years): 15

Top Topics

Subcellular Localization

Protein Secondary Structure

Similarity Metric

Top Venues

Publications

José Juan Almagro Armenteros, Casper Kaae Sønderby, Søren Kaae Sønderby, Henrik Nielsen, Ole Winther
DeepLoc: prediction of protein subcellular localization using deep learning. Bioinform. 33 (21) (2017)
José Juan Almagro Armenteros, Casper Kaae Sønderby, Søren Kaae Sønderby, Henrik Nielsen, Ole Winther
DeepLoc: prediction of protein subcellular localization using deep learning. Bioinform. 33 (24) (2017)
Vanessa Isabell Jurtz, Alexander Rosenberg Johansen, Morten Nielsen, José Juan Almagro Armenteros, Henrik Nielsen, Casper Kaae Sønderby, Ole Winther, Søren Kaae Sønderby
An introduction to deep learning on biological sequence data: examples and solutions. Bioinform. 33 (22) (2017)
Alexander Rosenberg Johansen, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther
Deep Recurrent Conditional Random Field Network for Protein Secondary Prediction. BCB (2017)
Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther
Auxiliary Deep Generative Models. CoRR (2016)
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther
Ladder Variational Autoencoders. NIPS (2016)
Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, Hugo Larochelle, Ole Winther
Autoencoding beyond pixels using a learned similarity metric. ICML (2016)
Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, Ole Winther
Sequential Neural Models with Stochastic Layers. CoRR (2016)
Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther
Auxiliary Deep Generative Models. ICML (2016)
Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther
How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks. CoRR (2016)
Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, Ole Winther
Sequential Neural Models with Stochastic Layers. NIPS (2016)
Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen, Ole Winther
Convolutional LSTM Networks for Subcellular Localization of Proteins. AlCoB (2015)
Søren Kaae Sønderby, Casper Kaae Sønderby, Lars Maaløe, Ole Winther
Recurrent Spatial Transformer Networks. CoRR (2015)
Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen, Ole Winther
Convolutional LSTM Networks for Subcellular Localization of Proteins. CoRR (2015)
Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, Ole Winther
Autoencoding beyond pixels using a learned similarity metric. CoRR (2015)
Søren Kaae Sønderby, Ole Winther
Protein Secondary Structure Prediction with Long Short Term Memory Networks. CoRR (2014)