Manuel Haumann
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
7
Venues
6
Active years
2016–2022
Best venue rank
A*
Where they publish
Papers
7 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | ICLR | Evidential Turing Processes. | Melih Kandemir, Abdullah Akgl, Manuel Haumann, Gozde Unal |
| 2021 | AISTATS | Learning Partially Known Stochastic Dynamics with Empirical PAC Bayes. | Manuel Haumann, Sebastian Gerwinn, Andreas Look, Barbara Rakitsch, Melih Kandemir |
| 2019 | ICLR | LeMoNADe: Learned Motif and Neuronal Assembly Detection in calcium imaging videos. | Elke Kirschbaum, Manuel Haumann, Steffen Wolf, Hannah Sonntag, Justus Schneider, Shehabeldin Elzoheiry, Oliver Kann, Daniel Durstewitz, Fred A. Hamprecht |
| 2019 | IJCAI | Deep Active Learning with Adaptive Acquisition. | Manuel Haumann, Fred A. Hamprecht, Melih Kandemir |
| 2019 | UAI | Sampling-Free Variational Inference of Bayesian Neural Networks by Variance Backpropagation. | Manuel Haumann, Fred A. Hamprecht, Melih Kandemir |
| 2017 | CVPR | Variational Bayesian Multiple Instance Learning with Gaussian Processes. | Manuel Haumann, Fred A. Hamprecht, Melih Kandemir |
| 2016 | BMVC | Variational Weakly Supervised Gaussian Processes. | Melih Kandemir, Manuel Haumann, Ferran Diego, Kumar T. Rajamani, Jeroen van der Laak, Fred A. Hamprecht |