Søren Kaae Sønderby
Søren Kaae Sønderby
Afiliación desconocida
Dirección de correo verificada de bio.ku.dk
TítuloCitado porAño
Autoencoding beyond pixels using a learned similarity metric
ABL Larsen, SK Sønderby, H Larochelle, O Winther
arXiv preprint arXiv:1512.09300, 2015
8252015
Ladder Variational Autoencoders
C Kaae Sønderby, T Raiko, L Maaløe, S Kaae Sønderby, O Winther
arXiv preprint arXiv:1602.02282, 2016
354*2016
Lasagne: first release
S Dieleman, J Schlüter, C Raffel, E Olson, SK Sønderby, D Nouri, ...
Zenodo: Geneva, Switzerland 3, 2015
347*2015
Auxiliary deep generative models
L Maaløe, CK Sønderby, SK Sønderby, O Winther
arXiv preprint arXiv:1602.05473, 2016
2832016
Sequential neural models with stochastic layers
M Fraccaro, SK Sønderby, U Paquet, O Winther
Advances in neural information processing systems, 2199-2207, 2016
1722016
DeepLoc: prediction of protein subcellular localization using deep learning
JJ Almagro Armenteros, CK Sønderby, SK Sønderby, H Nielsen, ...
Bioinformatics 33 (21), 3387-3395, 2017
1552017
Protein secondary structure prediction with long short term memory networks
SK Sønderby, O Winther
arXiv preprint arXiv:1412.7828, 2014
136*2014
Convolutional LSTM networks for subcellular localization of proteins
SK Sønderby, CK Sønderby, H Nielsen, O Winther
Conference on Algorithms for Computational Biology, 2015
752015
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
532017
Recurrent spatial transformer networks
SK Sønderby, CK Sønderby, L Maaløe, O Winther
arXiv preprint arXiv:1509.05329, 2015
312015
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
102017
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
Recurrent Spatial Transformer Networks
S Kaae Sønderby, C Kaae Sønderby, L Maaløe, O Winther
arXiv preprint arXiv:1509.05329, 2015
2015
Convolutional LSTM Networks for Subcellular Localization of Proteins
S Kaae Sønderby, C Kaae Sønderby, H Nielsen, O Winther
arXiv preprint arXiv:1503.01919, 2015
2015
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, ...
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