Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization

Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization

23 September 2024

Christopher Mutschler

Papers citing "Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization"

16 / 16 papers shown

Title
5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization Nisha Lakshmana Raichur Lucas Heublein Christopher Mutschler Felix Ott 54 0 0 23 May 2025
VAE-based Feature Disentanglement for Data Augmentation and Compression in Generalized GNSS Interference Classification Lucas Heublein Simon Kocher Tobias Feigl A. Rügamer Christopher Mutschler Felix Ott DRL 55 1 0 14 Apr 2025
Evaluation of (Un-)Supervised Machine Learning Methods for GNSS Interference Classification with Real-World Data Discrepancies Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Tobias Brieger Fin Heuer Lennart Asbach A. Rügamer Felix Ott 181 8 0 31 Mar 2025
Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification Nishant S. Gaikwad Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Christopher Mutschler Felix Ott 104 7 0 31 Dec 2024
Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling Lucas Heublein Tobias Feigl A. Rügamer Felix Ott 82 7 0 03 Oct 2024
Temporal Source Recovery for Time-Series Source-Free Unsupervised Domain Adaptation Yucheng Wang Peiliang Gong Min-man Wu Felix Ott Xiaoli Li Lihua Xie Zhenghua Chen TTA 73 3 0 29 Sep 2024
Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning Nisha Lakshmana Raichur Lucas Heublein Tobias Feigl A. Rügamer Christopher Mutschler Felix Ott CLL BDL 102 9 0 17 May 2024
Few-Shot Learning with Uncertainty-based Quadruplet Selection for Interference Classification in GNSS Data Felix Ott Lucas Heublein Nisha Lakshmana Raichur Tobias Feigl Jonathan Hansen A. Rügamer Christopher Mutschler 64 9 0 09 Feb 2024
Fusing Structure from Motion and Simulation-Augmented Pose Regression from Optical Flow for Challenging Indoor Environments Felix Ott Lucas Heublein David Rügamer Bernd Bischl Christopher Mutschler 61 6 0 14 Apr 2023
Robustness, Evaluation and Adaptation of Machine Learning Models in the Wild Vihari Piratla OOD VLM 23 5 0 05 Mar 2023
Evaluating Latent Space Robustness and Uncertainty of EEG-ML Models under Realistic Distribution Shifts Neeraj Wagh Jionghao Wei Samarth Rawal Brent M. Berry Y. Varatharajah OOD 55 11 0 22 Sep 2022
Uncertainty-aware Evaluation of Time-Series Classification for Online Handwriting Recognition with Domain Shift Andreas Klass Sven M. Lorenz M. Lauer-Schmaltz David Rügamer Bernd Bischl Christopher Mutschler Felix Ott 64 10 0 17 Jun 2022
Evaluating Robustness to Dataset Shift via Parametric Robustness Sets Nikolaj Thams Michael Oberst David Sontag OOD 63 12 0 31 May 2022
Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift Felix Ott David Rügamer Lucas Heublein Bernd Bischl Christopher Mutschler OOD TTA AI4TS 52 33 0 07 Apr 2022
Measuring Robustness to Natural Distribution Shifts in Image Classification Rohan Taori Achal Dave Vaishaal Shankar Nicholas Carlini Benjamin Recht Ludwig Schmidt OOD 108 546 0 01 Jul 2020
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,814 0 10 Dec 2015