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Papers in machine learning / neurosicence:
- Structured sparse coding via lateral inhibition, Karol Gregor, Arthur Szlam and Yann LeCun, to appear at Advances in Neural Information Processing Systems (NIPS 2011)
- Learning Representations by Maximizing Compression , Karol Gregor and Yann LeCun (2011)
- Learning Convolutional Feature Hierarchies for Visual Recognition, Koray Kavukcuoglu, Pierre Sermanet, Y-Lan Boureau, Karol Gregor, Michael Mathieu and Yann LeCun, Advances in Neural Information Processing Systems (NIPS 2010)
- Efficient Learning of Sparse Invariant Representations , Karol Gregor and Yann LeCun, (2010)
- Learning fast approximations of sparse coding, Karol Gregor and Yann LeCun, Proc. International Conference on Machine learning (ICML 2010)
- Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields, Karol Gregor and Yann LeCun, (2009-2010)
- Behavior and performance of the deep belief networks on image classification Karol Gregor and Gregory Griffin, (2008-2009)
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