Casper Kaae Sønderby

According to our database, Casper Kaae Sønderby authored at least 15 papers between 2015 and 2021.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

IDF++: Analyzing and Improving Integer Discrete Flows for Lossless Compression.

Rianne van den Berg, Alexey A. Gritsenko, Mostafa Dehghani, Casper Kaae Sønderby, Tim Salimans

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

MetNet: A Neural Weather Model for Precipitation Forecasting.

Casper Kaae Sønderby, Lasse Espeholt, Jonathan Heek, Mostafa Dehghani, Avital Oliver, Tim Salimans, Shreya Agrawal, Jason Hickey, Nal Kalchbrenner

CoRR, 2020

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

2017

An introduction to deep learning on biological sequence data: examples and solutions.

Vanessa Isabell Jurtz, Alexander Rosenberg Johansen, Morten Nielsen, José Juan Almagro Armenteros, Henrik Nielsen, Casper Kaae Sønderby, Ole Winther, Søren Kaae Sønderby

Bioinform., 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

Amortised MAP Inference for Image Super-resolution.

Casper Kaae Sønderby, Jose Caballero, Lucas Theis, Wenzhe Shi, Ferenc Huszár

Proceedings of the 5th International Conference on Learning Representations, 2017

Deep Recurrent Conditional Random Field Network for Protein Secondary Prediction.

Alexander Rosenberg Johansen, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther

Proceedings of the 8th ACM International Conference on Bioinformatics, 2017

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

How to Train Deep Variational Autoencoders and Probabilistic Ladder Networks.

Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther

CoRR, 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

Ladder Variational Autoencoders.

Casper Kaae Sønderby, Tapani Raiko, Lars Maaløe, Søren Kaae Sønderby, Ole Winther

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Auxiliary Deep Generative Models.

Lars Maaløe, Casper Kaae Sønderby, Søren Kaae Sønderby, Ole Winther

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Recurrent Spatial Transformer Networks.

Søren Kaae Sønderby, Casper Kaae Sønderby, Lars Maaløe, Ole Winther

CoRR, 2015

Convolutional LSTM Networks for Subcellular Localization of Proteins.

Søren Kaae Sønderby, Casper Kaae Sønderby, Henrik Nielsen, Ole Winther

Proceedings of the Algorithms for Computational Biology, 2015