2017
| Date | Time | Room | Article | Discussant |
|---|---|---|---|---|
| Aug 21 | 16:00-17:00 | D1.160 | Optimizing the latent space of Generative Adversarial Networks | Patrick Forré |
| Aug 14 | 16:00-17:00 | D1.160 | Adversarial Variational Bayes | Patrick Forré |
| Aug 07 | 16:00-17:00 | C3.211 | On Unifying Deep Generative Models | Bas Veeling |
| Jul 31 | 16:00-17:00 | C3.211 | Variational Inference with Normalizing Flows | Karen Ullrich |
| Jul 17 | 16:00-17:00 | C3.211 | Information Dropout | Matthias Reisser |
Jul 10 |
16:00-17:00 | C3.211 | Deep Variational information Bottleneck | Jakub Tomczak |
Jun 12 |
16:00-17:00 | C3.211 | VAE with a VampPrior | Jakub Tomczak |
Apr 3 |
16:00-17:00 | C3.211 | Learning structured weight uncertainty in Bayesian neural networks | Mijung Park |
Mar 20 |
16:00-17:00 | C3.211 | Approximate Bayesian inference with the weighted likelihood Bootstrap | Matthias Reisser |
Mar 13 |
16:00-17:00 | C3.211 | Generalization and Equilibrium in Generative Adversarial Nets | Peter O'Connor |
Mar 6 |
16:00-17:00 | C3.211 | Improved generator objectives for GANs | Mijung Park |
Feb 6 |
16:00-17:00 | C3.211 | Wasserstein GAN | Mijung Park |
Jan 30 |
16:00-17:00 | C3.211 | Learning in implicit generative models | Christos Louizos |
Jan 23 |
16:00-17:00 | C3.211 | Hierarchical Variational Models | Christos Louizos |
Jan 16 |
16:00-17:00 | C3.265 | Boosting Variational Inference | Mijung Park |
2016