# David Pfau

According to our database

Collaborative distances:

^{1}, David Pfau authored at least 15 papers between 2010 and 2018.Collaborative distances:

## Timeline

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Book In proceedings Article PhD thesis Other## Links

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## Bibliography

2018

Towards a Definition of Disentangled Representations.

CoRR, 2018

Spectral Inference Networks: Unifying Spectral Methods With Deep Learning.

CoRR, 2018

Minimally Redundant Laplacian Eigenmaps.

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Unrolled Generative Adversarial Networks.

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

2016

Connecting Generative Adversarial Networks and Actor-Critic Methods.

CoRR, 2016

Unrolled Generative Adversarial Networks.

CoRR, 2016

Convolution by Evolution: Differentiable Pattern Producing Networks.

CoRR, 2016

Learning to learn by gradient descent by gradient descent.

CoRR, 2016

Learning to learn by gradient descent by gradient descent.

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

Convolution by Evolution: Differentiable Pattern Producing Networks.

Proceedings of the 2016 on Genetic and Evolutionary Computation Conference, Denver, CO, USA, July 20, 2016

2015

Bayesian Nonparametric Methods for Partially-Observable Reinforcement Learning.

IEEE Trans. Pattern Anal. Mach. Intell., 2015

2013

Robust learning of low-dimensional dynamics from large neural ensembles.

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012

Decoding arm and hand movements across layers of the macaque frontal cortices.

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

2010

Probabilistic Deterministic Infinite Automata.

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

Forgetting Counts: Constant Memory Inference for a Dependent Hierarchical Pitman-Yor Process.

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010