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All publications by Karol Gregor
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Universal Value Function Approximators
Tom Schaul, Daniel Horgan, Karol Gregor and David Silver
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


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


MADE: Masked Autoencoder for Distribution Estimation
Mathieu Germain, Karol Gregor, Iain Murray and Hugo Larochelle
Proceedings of the 32nd International Conference on Machine Learning (ICML-15), 2015


Neural Variational Inference and Learning in Belief Networks
Andriy Mnih and Karol Gregor
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


A lattice filter model of the visual pathway
Karol Gregor and Dmitri B. Chklovskii
Advances in Neural Information Processing Systems 25, 2012


Structured sparse coding via lateral inhibition
Arthur D. Szlam, Karol Gregor and Yann L. Cun
Advances in Neural Information Processing Systems 24, 2011


Learning Fast Approximations of Sparse Coding
Karol Gregor and Yann Lecun
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010


Learning Convolutional Feature Hierarchies for Visual Recognition
Koray Kavukcuoglu, Pierre Sermanet, Y-lan Boureau, Karol Gregor, Michael Mathieu and Yann L. Cun
Advances in Neural Information Processing Systems 23, 2010