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Lucas Theis

I am a PhD student at the Max Planck Research School for Neural Information Processing. In Tübingen, working in the lab of Matthias Bethge. Topics I am interested in include Bayesian inference, deep learning, natural image statistics, and computational neuroscience. 49 7071 29 88910. Generative Image Modeling Using Spatial LSTMs. And M D. Hoffman. A trust-region method for stochastic variational inference with applications to streaming data. International Conference for Machine Learning, 2015. PLoS ONE, 7.

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Lucas Theis | perceptron.net Reviews

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I am a PhD student at the Max Planck Research School for Neural Information Processing. In Tübingen, working in the lab of Matthias Bethge. Topics I am interested in include Bayesian inference, deep learning, natural image statistics, and computational neuroscience. 49 7071 29 88910. Generative Image Modeling Using Spatial LSTMs. And M D. Hoffman. A trust-region method for stochastic variational inference with applications to streaming data. International Conference for Machine Learning, 2015. PLoS ONE, 7.

<META> KEYWORDS

1 lucas theis

2 curriculum vitae

3 lucas@theis io

4 lucastheis

5 on the web

6 crossvalidated

7 github

8 facebook

9 flickr

10 pinboard

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Lucas Theis | perceptron.net Reviews

https://perceptron.net

I am a PhD student at the Max Planck Research School for Neural Information Processing. In Tübingen, working in the lab of Matthias Bethge. Topics I am interested in include Bayesian inference, deep learning, natural image statistics, and computational neuroscience. 49 7071 29 88910. Generative Image Modeling Using Spatial LSTMs. And M D. Hoffman. A trust-region method for stochastic variational inference with applications to streaming data. International Conference for Machine Learning, 2015. PLoS ONE, 7.

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perceptron.net

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Lucas Theis

http://www.perceptron.net/publications/p.+berens

Journal Articles by P. Berens. Benchmarking spike rate inference in population calcium imaging. 3), 471-482, 2016.

2

Lucas Theis

http://www.perceptron.net/publications/m.+d.+hoffman

Conference Papers by M. D. Hoffman. And M D. Hoffman. A trust-region method for stochastic variational inference with applications to streaming data. Proceedings of the 32nd International Conference on Machine Learning, 2015.

3

Lucas Theis

http://www.perceptron.net/publications/tag/natural+image+statistics

Publications with the keyword natural image statistics. Generative Image Modeling Using Spatial LSTMs. Advances in Neural Information Processing Systems 28, 2015. Modeling Natural Image Statistics. Biologically-inspired Computer Vision Fundamentals and Applications, Wiley VCH, 2015. Data modeling with the elliptical gamma distribution. Artificial Intelligence and Statistics, 2015. Training sparse natural image models with a fast Gibbs sampler of an extended state space. PLoS ONE, 7.

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Lucas Theis

http://www.perceptron.net/publications/tag/svi

Publications with the keyword svi. And M D. Hoffman. A trust-region method for stochastic variational inference with applications to streaming data. Proceedings of the 32nd International Conference on Machine Learning, 2015.

5

Lucas Theis

http://www.perceptron.net/publications/j.+reimer

Journal Articles by J. Reimer. Benchmarking spike rate inference in population calcium imaging. 3), 471-482, 2016.

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I am a PhD student at the Max Planck Research School for Neural Information Processing. In Tübingen, working in the lab of Matthias Bethge. Topics I am interested in include Bayesian inference, deep learning, natural image statistics, and computational neuroscience. 49 7071 29 88910. Generative Image Modeling Using Spatial LSTMs. And M D. Hoffman. A trust-region method for stochastic variational inference with applications to streaming data. International Conference for Machine Learning, 2015. PLoS ONE, 7.

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