| Autoencoding beyond pixels using a learned similarity metric ABL Larsen, SK Sønderby, H Larochelle, O Winther International conference on machine learning, 1558-1566, 2016 | 2656 | 2016 |
| DeepLoc: prediction of protein subcellular localization using deep learning JJ Almagro Armenteros, CK Sønderby, SK Sønderby, H Nielsen, ... Bioinformatics 33 (21), 3387-3395, 2017 | 1098 | 2017 |
| Ladder variational autoencoders CK Sønderby, T Raiko, L Maaløe, SK Sønderby, O Winther Advances in neural information processing systems 29, 2016 | 1098* | 2016 |
| Auxiliary deep generative models L Maaløe, CK Sønderby, SK Sønderby, O Winther International conference on machine learning, 1445-1453, 2016 | 536 | 2016 |
| Sequential neural models with stochastic layers M Fraccaro, SK Sønderby, U Paquet, O Winther Advances in neural information processing systems 29, 2016 | 467 | 2016 |
| Lasagne: first release S Dieleman, J Schlüter, C Raffel, E Olson, SK Sønderby, D Nouri, ... Zenodo: Geneva, Switzerland 3, 74, 2015 | 445* | 2015 |
| Convolutional LSTM networks for subcellular localization of proteins SK Sønderby, CK Sønderby, H Nielsen, O Winther Conference on Algorithms for Computational Biology, 2015 | 301* | 2015 |
| 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 | 175 | 2017 |
| Recurrent spatial transformer networks SK Sønderby, CK Sønderby, L Maaløe, O Winther arXiv preprint arXiv:1509.05329, 2015 | 69 | 2015 |
| 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 | 26 | 2017 |
| Autoencoding beyond pixels using a learned similarity metric. arXiv 2015 ABL Larsen, SK Sønderby, H Larochelle, O Winther arXiv preprint arXiv:1512.09300, 0 | 11 | |
| Lasagne: First release., Aug. 2015. doi: 10.5281/zenodo. 27878 S Dieleman, J Schlüter, C Raffel, E Olson, SK Sønderby, D Nouri, ... Project URL http://github. com/Lasagne/Lasagne, 0 | 5 | |
| Non-parametric survival analysis in breast cancer using clinical and genomic markers S Sønderby, O Winther | 2 | 2014 |
| 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 | 1 | 2015 |
| Convolutional LSTM networks for subcellular localization of proteins H Nielsen, SK Sønderby, CK Sønderby, O Winther First Annual Danish Bioinformatics Conference, 2015 | 1 | 2015 |
| 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-DTU Orbit (25/01/2016) H Nielsen, SK Sønderby, CK Sønderby, O Winther | | |
| Supplementary Material for Sequential Neural Models with Stochastic Layers M Fraccaro, SK Sønderby, U Paquet, O Winther | | |
