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All publications by Daan Wierstra
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DRAW: A Recurrent Neural Network For Image Generation
Karol Gregor, Ivo Danihelka, Alex Graves, Danilo Rezende and Daan Wierstra
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Weight Uncertainty in Neural Network
Charles Blundell, Julien Cornebise, Koray Kavukcuoglu and Daan Wierstra
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Stochastic Backpropagation and Approximate Inference in Deep Generative Models
Danilo J. Rezende, Shakir Mohamed and Daan Wierstra
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Deep AutoRegressive Networks
Karol Gregor, Ivo Danihelka, Andriy Mnih, Charles Blundell and Daan Wierstra
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Deterministic Policy Gradient Algorithms
David Silver, Guy Lever, Nicolas Heess, Thomas Degris, Daan Wierstra and Martin Riedmiller
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


Variational Learning for Recurrent Spiking Networks
Danilo J. Rezende, Daan Wierstra and Wulfram Gerstner
Advances in Neural Information Processing Systems 24, 2011


Stochastic search using the natural gradient
Yi Sun, Daan Wierstra, Tom Schaul and J├╝rgen Schmidhuber
Proceedings of the 26th International Conference on Machine Learning (ICML-09), 2009


Utile distinction hidden Markov models
Daan Wierstra and Marco Wiering
Proceedings of the 21st International Conference on Machine Learning (ICML-04), 2004