Jakob Gawlikowski

25 papers A* 2A 1C 5Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Data-Centric Benchmark for Label Noise Estimation and Ranking in Remote Sensing Image Segmentation.
CoRR
Keiller Nogueira, Codrut-Andrei Diaconu, Dávid Kerekes, Jakob Gawlikowski, Cédric Léonard, Nassim Ait Ali Braham, June Moh Goo, Zichao Zeng, Zhipeng Liu, Pallavi Jain, Andrea Nascetti, Ronny Hänsch
2025 J jnl
Lightning UQ Box: Uncertainty Quantification for Neural Networks.
J. Mach. Learn. Res.
Nils Lehmann, Nina Maria Gottschling, Jakob Gawlikowski, Adam J. Stewart, Stefan Depeweg, Eric T. Nalisnick
2024 A conf
Efficient Data Source Relevance Quantification for Multi-Source Neural Networks.
BMVC
Jakob Gawlikowski, Nina Maria Gottschling
2024 — conf
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts.
ICPR (33)
Laines Schmalwasser, Jakob Gawlikowski, Joachim Denzler, Julia Niebling
2024 J jnl
Exploiting Text-Image Latent Spaces for the Description of Visual Concepts.
CoRR
Laines Schmalwasser, Jakob Gawlikowski, Joachim Denzler, Julia Niebling
2024 J jnl
Lightning UQ Box: A Comprehensive Framework for Uncertainty Quantification in Deep Learning.
CoRR
Nils Lehmann, Jakob Gawlikowski, Adam J. Stewart, Vytautas Jancauskas, Stefan Depeweg, Eric T. Nalisnick, Nina Maria Gottschling
2024 — conf
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-Regenerative Life Support System Telemetry.
ECML/PKDD (9)
Ferdinand Rewicki, Jakob Gawlikowski, Julia Niebling, Joachim Denzler
2024 J jnl
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System Telemetry.
CoRR
Ferdinand Rewicki, Jakob Gawlikowski, Julia Niebling, Joachim Denzler
2023 J jnl
A survey of uncertainty in deep neural networks.
Artif. Intell. Rev.
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
2023 J jnl
Handling unexpected inputs: incorporating source-wise out-of-distribution detection into SAR-optical data fusion for scene classification.
EURASIP J. Adv. Signal Process.
Jakob Gawlikowski, Sudipan Saha, Julia Niebling, Xiao Xiang Zhu
2023 A* conf
The Unreasonable Effectiveness of Deep Evidential Regression.
AAAI
Nis Meinert, Jakob Gawlikowski, Alexander Lavin
2022 J jnl
An Advanced Dirichlet Prior Network for Out-of-Distribution Detection in Remote Sensing.
IEEE Trans. Geosci. Remote. Sens.
Jakob Gawlikowski, Sudipan Saha, Anna M. Kruspe, Xiao Xiang Zhu
2022 C conf
Compact Feature Representation for Unsupervised Ood Detection.
IGARSS
Sudipan Saha, Jakob Gawlikowski, Jay Nandy, Xiao Xiang Zhu
2022 C conf
Estimating Uncertainty of Deep Learning Multi-Label Classifications Using Laplace Approximation.
IGARSS
Ferdinand Rewicki, Jakob Gawlikowski
2022 J jnl
Explaining the Effects of Clouds on Remote Sensing Scene Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Jakob Gawlikowski, Patrick Ebel, Michael Schmitt, Xiao Xiang Zhu
2022 J jnl
Leveraging Graph and Deep Learning Uncertainties to Detect Anomalous Maritime Trajectories.
IEEE Trans. Intell. Transp. Syst.
Sandeep Kumar Singh, Jaya Shradha Fowdur, Jakob Gawlikowski, Daniel Medina
2022 C conf
Robust Distribution-Shift Aware Sar-Optical data Fusion for Multi-Label Scene Classification.
IGARSS
Jakob Gawlikowski, Sudipan Saha, Julia Niebling, Xiao Xiang Zhu
2022 A* conf
Structuring Uncertainty for Fine-Grained Sampling in Stochastic Segmentation Networks.
NeurIPS
Frank Nussbaum, Jakob Gawlikowski, Julia Niebling
2022 J jnl
The Unreasonable Effectiveness of Deep Evidential Regression.
CoRR
Nis Meinert, Jakob Gawlikowski, Alexander Lavin
2022 — conf
The impact of averaging logits over probabilities on ensembles of neural networks.
AISafety@IJCAI
Cedrique Rovile Njieutcheu Tassi, Jakob Gawlikowski, Auliya Unnisa Fitri, Rudolph Triebel
2021 J jnl
A Survey of Uncertainty in Deep Neural Networks.
CoRR
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
2021 J jnl
Leveraging Evidential Deep Learning Uncertainties with Graph-based Clustering to Detect Anomalies.
CoRR
Sandeep Kumar Singh, Jaya Shradha Fowdur, Jakob Gawlikowski, Daniel Medina
2021 J jnl
Out-of-distribution detection in satellite image classification.
CoRR
Jakob Gawlikowski, Sudipan Saha, Anna M. Kruspe, Xiao Xiang Zhu
2021 C conf
Towards Out-of-Distribution Detection for Remote Sensing.
IGARSS
Jakob Gawlikowski, Sudipan Saha, Anna M. Kruspe, Xiao Xiang Zhu
2020 C conf
On the Fusion Strategies of Sentinel-1 and Sentinel-2 Data for Local Climate Zone Classification.
IGARSS
Jakob Gawlikowski, Michael Schmitt, Anna M. Kruspe, Xiaoxiang Zhu