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Jakob Gawlikowski
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2020 – today
- 2024
- [c10]Laines Schmalwasser, Jakob Gawlikowski, Joachim Denzler, Julia Niebling:
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts. ICPR (33) 2024: 109-125 - [c9]Ferdinand Rewicki, Jakob Gawlikowski, Julia Niebling, Joachim Denzler:
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-Regenerative Life Support System Telemetry. ECML/PKDD (9) 2024: 207-222 - [i7]Ferdinand Rewicki, Jakob Gawlikowski, Julia Niebling, Joachim Denzler:
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System Telemetry. CoRR abs/2406.09825 (2024) - [i6]Nils Lehmann, Jakob Gawlikowski, Adam J. Stewart, Vytautas Jancauskas, Stefan Depeweg, Eric T. Nalisnick, Nina Maria Gottschling:
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning. CoRR abs/2410.03390 (2024) - [i5]Laines Schmalwasser, Jakob Gawlikowski, Joachim Denzler, Julia Niebling:
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts. CoRR abs/2410.17832 (2024) - 2023
- [j5]Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiaoxiang Zhu:
A survey of uncertainty in deep neural networks. Artif. Intell. Rev. 56(S1): 1513-1589 (2023) - [j4]Jakob Gawlikowski, Sudipan Saha, Julia Niebling, Xiao Xiang Zhu:
Handling unexpected inputs: incorporating source-wise out-of-distribution detection into SAR-optical data fusion for scene classification. EURASIP J. Adv. Signal Process. 2023(1): 47 (2023) - [c8]Nis Meinert, Jakob Gawlikowski, Alexander Lavin:
The Unreasonable Effectiveness of Deep Evidential Regression. AAAI 2023: 9134-9142 - 2022
- [j3]Jakob Gawlikowski, Patrick Ebel, Michael Schmitt, Xiao Xiang Zhu:
Explaining the Effects of Clouds on Remote Sensing Scene Classification. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 9976-9986 (2022) - [j2]Jakob Gawlikowski, Sudipan Saha, Anna M. Kruspe, Xiao Xiang Zhu:
An Advanced Dirichlet Prior Network for Out-of-Distribution Detection in Remote Sensing. IEEE Trans. Geosci. Remote. Sens. 60: 1-19 (2022) - [j1]Sandeep Kumar Singh, Jaya Shradha Fowdur, Jakob Gawlikowski, Daniel Medina:
Leveraging Graph and Deep Learning Uncertainties to Detect Anomalous Maritime Trajectories. IEEE Trans. Intell. Transp. Syst. 23(12): 23488-23502 (2022) - [c7]Jakob Gawlikowski, Sudipan Saha, Julia Niebling, Xiao Xiang Zhu:
Robust Distribution-Shift Aware Sar-Optical data Fusion for Multi-Label Scene Classification. IGARSS 2022: 911-914 - [c6]Ferdinand Rewicki, Jakob Gawlikowski:
Estimating Uncertainty of Deep Learning Multi-Label Classifications Using Laplace Approximation. IGARSS 2022: 1560-1563 - [c5]Sudipan Saha, Jakob Gawlikowski, Jay Nandy, Xiao Xiang Zhu:
Compact Feature Representation for Unsupervised Ood Detection. IGARSS 2022: 3143-3146 - [c4]Cedrique Rovile Njieutcheu Tassi, Jakob Gawlikowski, Auliya Unnisa Fitri, Rudolph Triebel:
The impact of averaging logits over probabilities on ensembles of neural networks. AISafety@IJCAI 2022 - [c3]Frank Nussbaum, Jakob Gawlikowski, Julia Niebling:
Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks. NeurIPS 2022 - [i4]Nis Meinert, Jakob Gawlikowski, Alexander Lavin:
The Unreasonable Effectiveness of Deep Evidential Regression. CoRR abs/2205.10060 (2022) - 2021
- [c2]Jakob Gawlikowski, Sudipan Saha, Anna M. Kruspe, Xiao Xiang Zhu:
Towards Out-of-Distribution Detection for Remote Sensing. IGARSS 2021: 8676-8679 - [i3]Jakob Gawlikowski, Sudipan Saha, Anna M. Kruspe, Xiao Xiang Zhu:
Out-of-distribution detection in satellite image classification. CoRR abs/2104.05442 (2021) - [i2]Sandeep Kumar Singh, Jaya Shradha Fowdur, Jakob Gawlikowski, Daniel Medina:
Leveraging Evidential Deep Learning Uncertainties with Graph-based Clustering to Detect Anomalies. CoRR abs/2107.01557 (2021) - [i1]Jakob Gawlikowski, Cedrique Rovile Njieutcheu Tassi, Mohsin Ali, Jongseok Lee, Matthias Humt, Jianxiang Feng, Anna M. Kruspe, Rudolph Triebel, Peter Jung, Ribana Roscher, Muhammad Shahzad, Wen Yang, Richard Bamler, Xiao Xiang Zhu:
A Survey of Uncertainty in Deep Neural Networks. CoRR abs/2107.03342 (2021) - 2020
- [c1]Jakob Gawlikowski, Michael Schmitt, Anna M. Kruspe, Xiaoxiang Zhu:
On the Fusion Strategies of Sentinel-1 and Sentinel-2 Data for Local Climate Zone Classification. IGARSS 2020: 2081-2084
Coauthor Index
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