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NeRF-VAE: A Geometry Aware 3D Scene Generative Model

Apr 01, 2021
Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Soňa Mokrá, Danilo J. Rezende

* 17 pages, 15 figures, under review 

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Persistent Message Passing

Mar 01, 2021
Heiko Strathmann, Mohammadamin Barekatain, Charles Blundell, Petar Veličković

* 7 pages, 2 figures 

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Learning deep kernels for exponential family densities

Nov 22, 2018
Li Wenliang, Dougal Sutherland, Heiko Strathmann, Arthur Gretton

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Scalable Gaussian Processes on Discrete Domains

Oct 24, 2018
Vincent Fortuin, Gideon Dresdner, Heiko Strathmann, Gunnar Rätsch

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Deep Self-Organization: Interpretable Discrete Representation Learning on Time Series

Oct 05, 2018
Vincent Fortuin, Matthias Hüser, Francesco Locatello, Heiko Strathmann, Gunnar Rätsch

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Efficient and principled score estimation with Nyström kernel exponential families

Mar 13, 2018
Dougal J. Sutherland, Heiko Strathmann, Michael Arbel, Arthur Gretton

* v5: Final version to be published at AISTATS 2018 

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Kernel Sequential Monte Carlo

Jul 25, 2017
Ingmar Schuster, Heiko Strathmann, Brooks Paige, Dino Sejdinovic

* ECML-PKDD 2017 

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Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy

Feb 10, 2017
Dougal J. Sutherland, Hsiao-Yu Tung, Heiko Strathmann, Soumyajit De, Aaditya Ramdas, Alex Smola, Arthur Gretton

* Published at ICLR 2017 (public comments: ). v4: minor edits 

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A Kernel Test of Goodness of Fit

Sep 27, 2016
Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton

* 14 pages, 9 figures 

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On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods

Dec 10, 2015
Anne-Marie Lyne, Mark Girolami, Yves Atchadé, Heiko Strathmann, Daniel Simpson

* Statistical Science 2015, Vol. 30, No. 4, 443-467 
* Published at in the Statistical Science ( by the Institute of Mathematical Statistics (

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Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families

Nov 24, 2015
Heiko Strathmann, Dino Sejdinovic, Samuel Livingstone, Zoltan Szabo, Arthur Gretton

* Advances in Neural Information Processing Systems 28, 2015 
* 20 pages, 7 figures 

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Unbiased Bayes for Big Data: Paths of Partial Posteriors

Feb 09, 2015
Heiko Strathmann, Dino Sejdinovic, Mark Girolami

* 18 pages, 10 figures 

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Kernel Adaptive Metropolis-Hastings

Jun 12, 2014
Dino Sejdinovic, Heiko Strathmann, Maria Lomeli Garcia, Christophe Andrieu, Arthur Gretton

* Proceedings of the 31st International Conference on Machine Learning, Beijing, China, 2014; JMLR: W&CP volume 32(2) 

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