Heiko Strathmann
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
3
Active years
2014–2021
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2021 | ICML | NeRF-VAE: A Geometry Aware 3D Scene Generative Model. | Adam R. Kosiorek, Heiko Strathmann, Daniel Zoran, Pol Moreno, Rosalia Schneider, Sona Mokr, Danilo Jimenez Rezende |
| 2019 | ICLR | SOM-VAE: Interpretable Discrete Representation Learning on Time Series. | Vincent Fortuin, Matthias Hser, Francesco Locatello, Heiko Strathmann, Gunnar Rtsch |
| 2019 | ICML | Learning deep kernels for exponential family densities. | Wenliang Li, Danica J. Sutherland, Heiko Strathmann, Arthur Gretton |
| 2018 | AISTATS | Efficient and principled score estimation with Nystrm kernel exponential families. | Danica J. Sutherland, Heiko Strathmann, Michael Arbel, Arthur Gretton |
| 2017 | ICLR | Generative Models and Model Criticism via Optimized Maximum Mean Discrepancy. | Danica J. Sutherland, Hsiao-Yu Tung, Heiko Strathmann, Soumyajit De, Aaditya Ramdas, Alexander J. Smola, Arthur Gretton |
| 2016 | ICML | A Kernel Test of Goodness of Fit. | Kacper Chwialkowski, Heiko Strathmann, Arthur Gretton |
| 2014 | ICML | Kernel Adaptive Metropolis-Hastings. | Dino Sejdinovic, Heiko Strathmann, Maria Lomeli Garcia, Christophe Andrieu, Arthur Gretton |