Søren Kaae Sønderby
Søren Kaae Sønderby
Unknown affiliation
Verified email at bio.ku.dk
Title
Cited by
Cited by
Year
Autoencoding beyond pixels using a learned similarity metric
ABL Larsen, SK Sønderby, H Larochelle, O Winther
International conference on machine learning, 1558-1566, 2016
11332016
Ladder Variational Autoencoders
C Kaae Sønderby, T Raiko, L Maaløe, S Kaae Sønderby, O Winther
arXiv, arXiv: 1602.02282, 2016
498*2016
Lasagne: first release
S Dieleman, J Schlüter, C Raffel, E Olson, SK Sønderby, D Nouri, ...
Zenodo: Geneva, Switzerland 3, 2015
383*2015
Auxiliary deep generative models
L Maaløe, CK Sønderby, SK Sønderby, O Winther
arXiv preprint arXiv:1602.05473, 2016
3412016
DeepLoc: prediction of protein subcellular localization using deep learning
JJ Almagro Armenteros, CK Sønderby, SK Sønderby, H Nielsen, ...
Bioinformatics 33 (21), 3387-3395, 2017
2952017
Sequential neural models with stochastic layers
M Fraccaro, SK Sønderby, U Paquet, O Winther
Advances in neural information processing systems, 2199-2207, 2016
2232016
Protein secondary structure prediction with long short term memory networks
SK Sønderby, O Winther
arXiv preprint arXiv:1412.7828, 2014
176*2014
Convolutional LSTM networks for subcellular localization of proteins
SK Sønderby, CK Sønderby, H Nielsen, O Winther
Conference on Algorithms for Computational Biology, 2015
952015
An introduction to deep learning on biological sequence data: examples and solutions
VI Jurtz, AR Johansen, M Nielsen, JJ Almagro Armenteros, H Nielsen, ...
Bioinformatics 33 (22), 3685-3690, 2017
762017
Recurrent spatial transformer networks
SK Sønderby, CK Sønderby, L Maaløe, O Winther
arXiv preprint arXiv:1509.05329, 2015
352015
Deep recurrent conditional random field network for protein secondary prediction
AR Johansen, CK Sønderby, SK Sønderby, O Winther
Proceedings of the 8th ACM international conference on bioinformatics …, 2017
132017
Convolutional LSTM networks for subcellular localization of proteins
H Nielsen, SK Sønderby, CK Sønderby, O Winther
First Annual Danish Bioinformatics Conference, 2015
12015
Non-parametric survival analysis in breast cancer using clinical and genomic markers
S Sønderby, O Winther
12014
DeepLoc: prediction of protein subcellular localization using deep learning-DTU Orbit (19/10/2019)
C Kaae, SK Sønderby, H Nielsen, O Winther
Bioinformatics 33 (21), 3387-3395, 2017
2017
Sequence Analysis
SK Sønderby
Department of Biology, Faculty of Science, University of Copenhagen, 2017
2017
DeepLoc: prediction of protein subcellular localization using deep learning-DTU Orbit (23/01/2019)
JJ Almagro Armenteros, CK Sønderby, SK Sønderby, H Nielsen, ...
Convolutional LSTM Networks for Subcellular Localization of Proteins-DTU Orbit (25/01/2016)
H Nielsen, SK Sønderby, CK Sønderby, O Winther
DeepLoc: prediction of protein subcellular localization using deep learning-DTU Orbit (11/11/2018)
JJ Almagro Armenteros, CK Sønderby, SK Sønderby, H Nielsen, ...
Supplementary Material for Sequential Neural Models with Stochastic Layers
M Fraccaro, SK Sønderby, U Paquet, O Winther
Predicting Signal Peptides using Deep Neural Networks
C Anker, C Sønderby, S Sønderby
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