Tobias Feigl

Lehrstuhl für Informatik 2 (Programmiersysteme)

Attention-Based Fusion of IQ and FFT Spectrograms with AoA Features for GNSS Jammer Localization (2026) Heublein L, Wielenberg C, Nowak T, Feigl T, Mutschler C, Ott F Unpublished / Preprint VAE-based Feature Disentanglement for Data Augmentation and Compression in Generalized GNSS Interference Classification (2026) Heublein L, Kocher S, Feigl T, Ruegamer A, Mutschler C, Ott F Unpublished / Preprint VAE-based Feature Disentanglement for Data Augmentation and Compression in Generalized GNSS Interference Classification (2026) Heublein L, Kocher S, Feigl T, Rügamer A, Mutschler C Unpublished / Preprint Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization (2026) Manjunath H, Heublein L, Feigl T, Ott F Unpublished / Preprint Indoor Localization with Robust Global Channel Charting: A Time-Distance-Based Approach (2026) Stahlke M, Yammine G, Feigl T, Eskofier B, Mutschler C Unpublished / Preprint Velocity-Based Channel Charting with Spatial Distribution Map Matching (2026) Stahlke M, George Y, Feigl T, Eskofier B, Mutschler C Unpublished / Preprint Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning (2026) Raichur NL, Heublein L, Feigl T, Ruegamer A, Mutschler C, Ott F Unpublished / Preprint Simplicity is Key: An Unsupervised Pretraining Approach for Sparse Radio Channels (2026) Ott J, Stahlke M, Feigl T, Eskofier B, Mutschler C Unpublished / Preprint PDRNN: Modular Data-driven Pedestrian Dead Reckoning on Loosely Coupled Radio- and Inertial-Signalstreams (2025) Bauer P, Porada A, Ott F, Feigl T Conference contribution, Original article Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformers (2025) Schelenz L, Rajanna S, Gosalci D, Heublein L, Pirkl J, Ott J, Ott F, Feigl T Conference contribution, Original article