Søren Kaae Sønderby
Søren Kaae Sønderby
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Bestätigte E-Mail-Adresse bei bio.ku.dk
Titel
Zitiert von
Zitiert von
Jahr
Autoencoding beyond pixels using a learned similarity metric
ABL Larsen, SK Sønderby, H Larochelle, O Winther
International conference on machine learning, 1558-1566, 2016
12192016
Ladder Variational Autoencoders
C Kaae Sønderby, T Raiko, L Maaløe, S Kaae Sønderby, O Winther
ArXiv e-prints, arXiv: 1602.02282, 2016
543*2016
Lasagne: first release
S Dieleman, J Schlüter, C Raffel, E Olson, SK Sønderby, D Nouri, ...
Zenodo: Geneva, Switzerland 3, 74, 2015
397*2015
Auxiliary deep generative models
L Maaløe, CK Sønderby, SK Sønderby, O Winther
International conference on machine learning, 1445-1453, 2016
3572016
DeepLoc: prediction of protein subcellular localization using deep learning
JJ Almagro Armenteros, CK Sønderby, SK Sønderby, H Nielsen, ...
Bioinformatics 33 (21), 3387-3395, 2017
3542017
Sequential neural models with stochastic layers
M Fraccaro, SK Sønderby, U Paquet, O Winther
arXiv preprint arXiv:1605.07571, 2016
2352016
Protein secondary structure prediction with long short term memory networks
SK Sønderby, O Winther
arXiv preprint arXiv:1412.7828, 2014
183*2014
Convolutional LSTM networks for subcellular localization of proteins
SK Sønderby, CK Sønderby, H Nielsen, O Winther
Conference on Algorithms for Computational Biology, 2015
992015
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
852017
Recurrent spatial transformer networks
SK Sønderby, CK Sønderby, L Maaløe, O Winther
arXiv preprint arXiv:1509.05329, 2015
392015
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
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, ...
Convolutional LSTM Networks for Subcellular Localization of Proteins-DTU Orbit (25/01/2016)
H Nielsen, SK Sønderby, CK Sønderby, O Winther
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