Convolutional LSTM Networks for Subcellular Localization of Proteins. - Søren Kaae Sønderby; Casper Kaae Sønderby; Henrik Nielsen; Ole Winther (AlCoB, 2015)

Recurrent Spatial Transformer Networks. - Søren Kaae Sønderby; Casper Kaae Sønderby; Lars Maaløe; Ole Winther (CoRR, 2015)

Auxiliary Deep Generative Models. - Lars Maaløe; Casper Kaae Sønderby; Søren Kaae Sønderby; Ole Winther (ICML, 2016)

Ladder Variational Autoencoders. - Casper Kaae Sønderby; Tapani Raiko; Lars Maaløe; Søren Kaae Sønderby; Ole Winther (NIPS, 2016)

Neural Machine Translation with Characters and Hierarchical Encoding. - Alexander Rosenberg Johansen; Jonas Meinertz Hansen; Elias Khazen Obeid; Casper Kaae Sønderby; Ole Winther (CoRR, 2016)

How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks. - Casper Kaae Sønderby; Tapani Raiko; Lars Maaløe; Søren Kaae Sønderby; Ole Winther (CoRR, 2016)

BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis. - Frederik Otzen Bagger; Damir Sasivarevic; Sina Hadi Sohi; Linea Gøricke Laursen; Sachin Pundhir; Casper Kaae Sønderby; Ole Winther; Nicolas Rapin; Bo T. Porse (Nucleic Acids Res., 2016)

Deep Recurrent Conditional Random Field Network for Protein Secondary Prediction. - Alexander Rosenberg Johansen; Casper Kaae Sønderby; Søren Kaae Sønderby; Ole Winther (BCB, 2017)

Amortised MAP Inference for Image Super-resolution. - Casper Kaae Sønderby; Jose Caballero; Lucas Theis; Wenzhe Shi; Ferenc Huszár (ICLR, 2017)

DeepLoc: prediction of protein subcellular localization using deep learning. - José Juan Almagro Armenteros; Casper Kaae Sønderby; Søren Kaae Sønderby; Henrik Nielsen; Ole Winther (Bioinform., 2017)

An introduction to deep learning on biological sequence data: examples and solutions. - Vanessa Isabell Jurtz; Alexander Rosenberg Johansen; Morten Nielsen 001; José Juan Almagro Armenteros; Henrik Nielsen; Casper Kaae Sønderby; Ole Winther; Søren Kaae Sønderby (Bioinform., 2017)

scVAE: variational auto-encoders for single-cell gene expression data. - Christopher Heje Grønbech; Maximillian Fornitz Vording; Pascal N. Timshel; Casper Kaae Sønderby; Tune H. Pers; Ole Winther; Bonnie Berger (Bioinform., 2020)

MetNet: A Neural Weather Model for Precipitation Forecasting. - Casper Kaae Sønderby; Lasse Espeholt; Jonathan Heek; Mostafa Dehghani 001; Avital Oliver; Tim Salimans; Shreya Agrawal; Jason Hickey; Nal Kalchbrenner (CoRR, 2020)

IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression. - Rianne van den Berg; Alexey A. Gritsenko; Mostafa Dehghani 001; Casper Kaae Sønderby; Tim Salimans (ICLR, 2021)

Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks. - Lasse Espeholt; Shreya Agrawal; Casper Kaae Sønderby; Manoj Kumar; Jonathan Heek; Carla Bromberg; Cenk Gazen; Jason Hickey; Aaron Bell; Nal Kalchbrenner (CoRR, 2021)