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
12522016
Ladder Variational Autoencoders
C Kaae Sønderby, T Raiko, L Maaløe, S Kaae Sønderby, O Winther
ArXiv e-prints, arXiv: 1602.02282, 2016
557*2016
Lasagne: first release
S Dieleman, J Schlüter, C Raffel, E Olson, SK Sønderby, D Nouri, ...
Zenodo: Geneva, Switzerland 3, 74, 2015
400*2015
DeepLoc: prediction of protein subcellular localization using deep learning
JJ Almagro Armenteros, CK Sønderby, SK Sønderby, H Nielsen, ...
Bioinformatics 33 (21), 3387-3395, 2017
3682017
Auxiliary deep generative models
L Maaløe, CK Sønderby, SK Sønderby, O Winther
International conference on machine learning, 1445-1453, 2016
3582016
Sequential neural models with stochastic layers
M Fraccaro, SK Sønderby, U Paquet, O Winther
arXiv preprint arXiv:1605.07571, 2016
2402016
Protein secondary structure prediction with long short term memory networks
SK Sønderby, O Winther
arXiv preprint arXiv:1412.7828, 2014
188*2014
Convolutional LSTM networks for subcellular localization of proteins
SK Sønderby, CK Sønderby, H Nielsen, O Winther
Conference on Algorithms for Computational Biology, 2015
1012015
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
892017
Recurrent spatial transformer networks
SK Sønderby, CK Sønderby, L Maaløe, O Winther
arXiv preprint arXiv:1509.05329, 2015
402015
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
152017
Autoencoding beyond pixels using a learned similarity metric. arXiv 2015
ABL Larsen, SK Sonderby, H Larochelle, O Winther
arXiv preprint arXiv:1512.09300, 0
5
Non-parametric survival analysis in breast cancer using clinical and genomic markers
S Sonderby, O Winther
22014
Convolutional LSTM networks for subcellular localization of proteins
H Nielsen, SK Sønderby, CK Sønderby, O Winther
First Annual Danish Bioinformatics Conference, 2015
12015
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
University of Copenhagen, Faculty of Science,[Department of Biology], 2017
2017
Recurrent Spatial Transformer Networks
S Kaae Sønderby, C Kaae Sønderby, L Maaløe, O Winther
arXiv e-prints, arXiv: 1509.05329, 2015
2015
Convolutional LSTM Networks for Subcellular Localization of Proteins
S Kaae Sønderby, C Kaae Sønderby, H Nielsen, O Winther
arXiv e-prints, arXiv: 1503.01919, 2015
2015
23 Convolutional LSTM Networks for Subcellular Localization of Proteins.
H Nielsen, SK Sønderby, CK Sønderby, O Winther
DeepLoc: prediction of protein subcellular localization using deep learning-DTU Orbit (23/01/2019)
JJ Almagro Armenteros, CK Sønderby, SK Sønderby, H Nielsen, ...
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