Casper Kaae Sønderby

20 papers A* 2Journal 14Unranked 4

Year	Rank	Type	Title / Venue / Authors
2021	A*	`conf`	IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression. ICLR Rianne van den Berg, Alexey A. Gritsenko, Mostafa Dehghani, Casper Kaae Sønderby, Tim Salimans
2021	J	`jnl`	Skillful Twelve Hour Precipitation Forecasts using Large Context Neural Networks. CoRR Lasse Espeholt, Shreya Agrawal, Casper Kaae Sønderby, Manoj Kumar, Jonathan Heek, Carla Bromberg, Cenk Gazen, Jason Hickey, Aaron Bell, Nal Kalchbrenner
2020	J	`jnl`	IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression. CoRR Rianne van den Berg, Alexey A. Gritsenko, Mostafa Dehghani, Casper Kaae Sønderby, Tim Salimans
2020	J	`jnl`	MetNet: A Neural Weather Model for Precipitation Forecasting. CoRR Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek, Mostafa Dehghani, Avital Oliver, Tim Salimans, Shreya Agrawal, Jason Hickey, Nal Kalchbrenner
2020	J	`jnl`	scVAE: variational auto-encoders for single-cell gene expression data. Bioinform. Christopher Heje Grønbech, Maximillian Fornitz Vording, Pascal N. Timshel, Casper Kaae Sønderby, Tune H. Pers, Ole Winther, Bonnie Berger
2017	—	`conf`	Amortised MAP Inference for Image Super-resolution. ICLR Casper Kaae Sønderby, Jose Caballero, Lucas Theis, Wenzhe Shi, Ferenc Huszár
2017	J	`jnl`	An introduction to deep learning on biological sequence data: examples and solutions. Bioinform. Vanessa Isabell Jurtz, Alexander Rosenberg Johansen, Morten Nielsen, José Juan Almagro Armenteros, Henrik Nielsen, Casper Kaae Sønderby, Ole Winther, Søren Kaae Sønderby
2017	—	`conf`	Deep Recurrent Conditional Random Field Network for Protein Secondary Prediction. BCB Alexander Rosenberg Johansen, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther
2017	J	`jnl`	DeepLoc: prediction of protein subcellular localization using deep learning. Bioinform. José Juan Almagro Armenteros, Casper Kaae Sønderby, Søren Kaae Sønderby, Henrik Nielsen, Ole Winther
2017	J	`jnl`	DeepLoc: prediction of protein subcellular localization using deep learning. Bioinform. José Juan Almagro Armenteros, Casper Kaae Sønderby, Søren Kaae Sønderby, Henrik Nielsen, Ole Winther
2016	J	`jnl`	Amortised MAP Inference for Image Super-resolution. CoRR Casper Kaae Sønderby, Jose Caballero, Lucas Theis, Wenzhe Shi, Ferenc Huszár
2016	A*	`conf`	Auxiliary Deep Generative Models. ICML Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther
2016	J	`jnl`	Auxiliary Deep Generative Models. CoRR Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther
2016	J	`jnl`	BloodSpot: a database of gene expression profiles and transcriptional programs for healthy and malignant haematopoiesis. Nucleic Acids Res. Frederik Otzen Bagger, Damir Sasivarevic, Sina Hadi Sohi, Linea Gøricke Laursen, Sachin Pundhir, Casper Kaae Sønderby, Ole Winther, Nicolas Rapin, Bo T. Porse
2016	J	`jnl`	How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks. CoRR Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther
2016	—	`conf`	Ladder Variational Autoencoders. NIPS Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther
2016	J	`jnl`	Neural Machine Translation with Characters and Hierarchical Encoding. CoRR Alexander Rosenberg Johansen, Jonas Meinertz Hansen, Elias Khazen Obeid, Casper Kaae Sønderby, Ole Winther
2015	—	`conf`	Convolutional LSTM Networks for Subcellular Localization of Proteins. AlCoB Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen, Ole Winther
2015	J	`jnl`	Convolutional LSTM Networks for Subcellular Localization of Proteins. CoRR Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen, Ole Winther
2015	J	`jnl`	Recurrent Spatial Transformer Networks. CoRR Søren Kaae Sønderby, Casper Kaae Sønderby, Lars Maaløe, Ole Winther