| A survey of uncertainty in deep neural networks J Gawlikowski, CRN Tassi, M Ali, J Lee, M Humt, J Feng, A Kruspe, ... Artificial Intelligence Review 56 (Suppl 1), 1513-1589, 2023 | 897 | 2023 |
| An advanced dirichlet prior network for out-of-distribution detection in remote sensing J Gawlikowski, S Saha, A Kruspe, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 60, 1-19, 2022 | 40 | 2022 |
| The unreasonable effectiveness of deep evidential regression N Meinert, J Gawlikowski, A Lavin Proceedings of the AAAI Conference on Artificial Intelligence 37 (8), 9134-9142, 2023 | 24 | 2023 |
| Leveraging Graph and Deep Learning Uncertainties to Detect Anomalous Maritime Trajectories SK Singh, JS Fowdur, J Gawlikowski, D Medina IEEE Transactions on Intelligent Transportation Systems 23 (12), 23488-23502, 2022 | 15* | 2022 |
| Explaining the Effects of Clouds on Remote Sensing Scene Classification J Gawlikowski, P Ebel, M Schmitt, XX Zhu IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022 | 13 | 2022 |
| On the fusion strategies of Sentinel-1 and Sentinel-2 data for local climate zone classification J Gawlikowski, M Schmitt, A Kruspe, XX Zhu IGARSS 2020-2020 IEEE International Geoscience and Remote Sensing Symposium …, 2020 | 11 | 2020 |
| The impact of averaging logits over probabilities on ensembles of neural networks. CRN Tassi, J Gawlikowski, AU Fitri, R Triebel AISafety@ IJCAI, 2022 | 6 | 2022 |
| Towards Out-of-Distribution Detection for Remote Sensing J Gawlikowski, S Saha, A Kruspe, XX Zhu 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 8676 …, 2021 | 6 | 2021 |
| Out-of-distribution detection in satellite image classification J Gawlikowski, S Saha, A Kruspe, XX Zhu arXiv preprint arXiv:2104.05442, 2021 | 5 | 2021 |
| Estimating Uncertainty of Deep Learning Multi-Label Classifications Using Laplace Approximation F Rewicki, J Gawlikowski IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 3 | 2022 |
| Fusing multiple untrained networks for hyperspectral change detection S Saha, J Gawlikowski, XX Zhu The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022 | 3 | 2022 |
| Handling unexpected inputs: incorporating source-wise out-of-distribution detection into SAR-optical data fusion for scene classification J Gawlikowski, S Saha, J Niebling, XX Zhu EURASIP Journal on Advances in Signal Processing 2023 (1), 47, 2023 | 2 | 2023 |
| Structuring uncertainty for fine-grained sampling in stochastic segmentation networks F Nussbaum, J Gawlikowski, J Niebling Advances in Neural Information Processing Systems 35, 27678-27691, 2022 | 1 | 2022 |
| Robust Distribution-Shift Aware Sar-Optical data Fusion for Multi-Label Scene Classification J Gawlikowski, S Saha, J Niebling, XX Zhu IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | 1 | 2022 |
| Few-shot learning for skin lesion classification: A prototypical networks approach S Chamarthi, K Fogelberg, J Gawlikowski, TJ Brinker Informatics in Medicine Unlocked, 101520, 2024 | | 2024 |
| Compact Feature Representation for Unsupervised Ood Detection S Saha, J Gawlikowski, J Nandy, XX Zhu IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022 | | 2022 |
| Uncertainties in neural networks J Gawlikowski Data Science Day 2023, 0 | | |
| ON THE RELEVANCE OF SAR AND OPTICAL MODALI-TIES IN DEEP LEARNING-BASED DATA FUSION J Gawlikowski, NM Gottschling | | |
