Benchmarking Visual-Inertial Deep Multimodal Fusion for Relative Pose Regression and Odometry-aided Absolute Pose Regression. - Felix Ott 001; Nisha Lakshmana Raichur; David Rügamer; Tobias Feigl; Heiko Neumann; Bernd Bischl; Christopher Mutschler (CoRR, 2022)

Few-Shot Learning with Uncertainty-Based Quadruplet Selection for Interference Classification in GNSS Data. - Felix Ott 001; Lucas Heublein; Nisha Lakshmana Raichur; Tobias Feigl; Jonathan Hansen; Alexander Rügamer; Christopher Mutschler (ICL-GNSS, 2024)

Federated Learning with MMD-based Early Stopping for Adaptive GNSS Interference Classification. - Saurabh Sampatrao Gaikwad; Lucas Heublein; Nisha Lakshmana Raichur; Tobias Feigl; Christopher Mutschler; Felix Ott 001 (CoRR, 2024)

GNSS Interference Spectrum Highway Dataset 1. - Felix Ott 001; Lucas Heublein; Nisha Lakshmana Raichur; Alexander Rügamer (IEEE DataPort, 2024)

5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization. - Nisha Lakshmana Raichur; Lucas Heublein; Christopher Mutschler; Felix Ott 001 (ICL-GNSS, 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 001 (NOMS, 2025)

Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning. - Nisha Lakshmana Raichur; Lucas Heublein; Tobias Feigl; Alexander Rügamer; Christopher Mutschler; Felix Ott 001 (Trans. Mach. Learn. Res., 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; Alexander Rügamer; Felix Ott 001 (CoRR, 2025)