Søren Kaae Sønderby

According to our database, Søren Kaae Sønderby authored at least 12 papers between 2014 and 2017.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2017

An introduction to deep learning on biological sequence data: examples and solutions.

Vanessa Isabell Jurtz, Alexander Rosenberg Johansen, Morten Nielsen, José Juan Almagro Armenteros, Henrik Nielsen, Casper Kaae Sønderby, Ole Winther, Søren Kaae Sønderby

Bioinform., 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

Deep Recurrent Conditional Random Field Network for Protein Secondary Prediction.

Alexander Rosenberg Johansen, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

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

Ladder Variational Autoencoders.

Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Sequential Neural Models with Stochastic Layers.

Marco Fraccaro, Søren Kaae Sønderby, Ulrich Paquet, Ole Winther

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Auxiliary Deep Generative Models.

Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther

Proceedings of the 33nd International Conference on Machine Learning, 2016

Autoencoding beyond pixels using a learned similarity metric.

Anders Boesen Lindbo Larsen, Søren Kaae Sønderby, Hugo Larochelle, Ole Winther

Proceedings of the 33nd International Conference on Machine Learning, 2016

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, Ole Winther

CoRR, 2015

Convolutional LSTM Networks for Subcellular Localization of Proteins.

Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen, Ole Winther

Proceedings of the Algorithms for Computational Biology, 2015

2014

Protein Secondary Structure Prediction with Long Short Term Memory Networks.

Søren Kaae Sønderby, Ole Winther

CoRR, 2014