| 2024 | BMVC | Efficient Data Source Relevance Quantification for Multi-Source Neural Networks. | Jakob Gawlikowski, Nina Maria Gottschling |
| 2024 | ICPR | Exploiting Text-Image Latent Spaces for the Description of Visual Concepts. | Laines Schmalwasser, Jakob Gawlikowski, Joachim Denzler, Julia Niebling |
| 2023 | AAAI | The Unreasonable Effectiveness of Deep Evidential Regression. | Nis Meinert, Jakob Gawlikowski, Alexander Lavin |
| 2022 | IGARSS | Estimating Uncertainty of Deep Learning Multi-Label Classifications Using Laplace Approximation. | Ferdinand Rewicki, Jakob Gawlikowski |
| 2022 | IGARSS | Compact Feature Representation for Unsupervised Ood Detection. | Sudipan Saha, Jakob Gawlikowski, Jay Nandy, Xiao Xiang Zhu |
| 2022 | IJCAI | The impact of averaging logits over probabilities on ensembles of neural networks. | Cedrique Rovile Njieutcheu Tassi, Jakob Gawlikowski, Auliya Unnisa Fitri, Rudolph Triebel |
| 2022 | IGARSS | Robust Distribution-Shift Aware Sar-Optical data Fusion for Multi-Label Scene Classification. | Jakob Gawlikowski, Sudipan Saha, Julia Niebling, Xiao Xiang Zhu |
| 2021 | IGARSS | Towards Out-of-Distribution Detection for Remote Sensing. | Jakob Gawlikowski, Sudipan Saha, Anna M. Kruspe, Xiao Xiang Zhu |
| 2020 | IGARSS | On the Fusion Strategies of Sentinel-1 and Sentinel-2 Data for Local Climate Zone Classification. | Jakob Gawlikowski, Michael Schmitt, Anna M. Kruspe, Xiaoxiang Zhu |