89 citations · 197 across the 9 of their papers we have counts for
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cs.LG2022★ 20 cited
StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets
Axel Sauer, Katja Schwarz, Andreas Geiger
Computer graphics has experienced a recent surge of data-centric approaches for photorealistic and controllable content creation. StyleGAN in particular sets new standards for gene…
cs.LG2021★ 29 cited
Counterfactual Generative Networks
Axel Sauer, Andreas Geiger
Neural networks are prone to learning shortcuts -- they often model simple correlations, ignoring more complex ones that potentially generalize better. Prior works on image classif…
cs.LG2020★ 7 cited
How to Make Deep RL Work in Practice
Nirnai Rao, Elie Aljalbout, Axel Sauer +1
In recent years, challenging control problems became solvable with deep reinforcement learning (RL). To be able to use RL for large-scale real-world applications, a certain degree…