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Jakob Gawlikowski
Jakob Gawlikowski
PhD Student at German Aerospace Center (DLR) and Technical University of Munich (TUM)
Zweryfikowany adres z dlr.de
Tytuł
Cytowane przez
Cytowane przez
Rok
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
13402023
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
562022
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
372023
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
252022
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
21*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
132020
The impact of averaging logits over probabilities on ensembles of neural networks.
CRN Tassi, J Gawlikowski, AU Fitri, R Triebel
AISafety@ IJCAI, 2022
112022
Out-of-distribution detection in satellite image classification
J Gawlikowski, S Saha, A Kruspe, XX Zhu
arXiv preprint arXiv:2104.05442, 2021
72021
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
62022
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
62021
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
52022
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-Regenerative Life Support System Telemetry
F Rewicki, J Gawlikowski, J Niebling, J Denzler
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2024
42024
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
42023
Few-shot learning for skin lesion classification: A prototypical networks approach
S Chamarthi, K Fogelberg, J Gawlikowski, TJ Brinker
Informatics in Medicine Unlocked 48, 101520, 2024
32024
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
32022
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
12022
Multi-sensor Earth observation: outlook
S Saha, J Gawlikowski
Deep Learning for Multi-Sensor Earth Observation, 409-424, 2025
2025
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts
L Schmalwasser, J Gawlikowski, J Denzler, J Niebling
International Conference on Pattern Recognition, 109-125, 2024
2024
Using AI for Radio (Big) Data
C Heneka, J Niebling, H Tang, V Balakrishnan, J Gawlikowski, ...
Data-Intensive Radio Astronomy: Bringing Astrophysics to the Exabyte Era …, 2024
2024
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning
N Lehmann, J Gawlikowski, AJ Stewart, V Jancauskas, S Depeweg, ...
arXiv preprint arXiv:2410.03390, 2024
2024
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