Karol Gregor

According to our database1, Karol Gregor authored at least 30 papers between 2009 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
Temporal Difference Variational Auto-Encoder.
CoRR, 2018

Learning and Querying Fast Generative Models for Reinforcement Learning.
CoRR, 2018

2016
Neural Autoregressive Distribution Estimation.
Journal of Machine Learning Research, 2016

Neural Autoregressive Distribution Estimation.
CoRR, 2016

One-Shot Generalization in Deep Generative Models.
CoRR, 2016

What is the Best Feature Learning Procedure in Hierarchical Recognition Architectures?
CoRR, 2016

Variational Intrinsic Control.
CoRR, 2016

Towards Conceptual Compression.
CoRR, 2016

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

One-Shot Generalization in Deep Generative Models.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
Towards Principled Unsupervised Learning.
CoRR, 2015

DRAW: A Recurrent Neural Network For Image Generation.
CoRR, 2015

MADE: Masked Autoencoder for Distribution Estimation.
CoRR, 2015

Universal Value Function Approximators.
Proceedings of the 32nd International Conference on Machine Learning, 2015

DRAW: A Recurrent Neural Network For Image Generation.
Proceedings of the 32nd International Conference on Machine Learning, 2015

MADE: Masked Autoencoder for Distribution Estimation.
Proceedings of the 32nd International Conference on Machine Learning, 2015

2014
Neural Variational Inference and Learning in Belief Networks.
CoRR, 2014

Neural Variational Inference and Learning in Belief Networks.
Proceedings of the 31th International Conference on Machine Learning, 2014

Deep AutoRegressive Networks.
Proceedings of the 31th International Conference on Machine Learning, 2014

2013
Deep AutoRegressive Networks.
CoRR, 2013

2012
Fast approximations to structured sparse coding and applications to object classification
CoRR, 2012

A lattice filter model of the visual pathway.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Fast Approximations to Structured Sparse Coding and Applications to Object Classification.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Learning Representations by Maximizing Compression
CoRR, 2011

Efficient Learning of Sparse Invariant Representations
CoRR, 2011

Structured sparse coding via lateral inhibition.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

2010
Emergence of Complex-Like Cells in a Temporal Product Network with Local Receptive Fields
CoRR, 2010

Learning Convolutional Feature Hierarchies for Visual Recognition.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Learning Fast Approximations of Sparse Coding.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Behavior and performance of the deep belief networks on image classification
CoRR, 2009


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