Lucas Heublein

According to our database, Lucas Heublein authored at least 24 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Attention-Based Fusion of IQ and FFT Spectrograms with AoA Features for GNSS Jammer Localization.

Lucas Heublein, Christian Wielenberg, Thorsten Nowak, Tobias Feigl, Christopher Mutschler, Felix Ott

CoRR, July, 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

CoRR, March, 2025

Bayesian Learning-driven Prototypical Contrastive Loss for Class-Incremental Learning.

Nisha Lakshmana Raichur, Lucas Heublein, Tobias Feigl, Alexander Rügamer, Christopher Mutschler, Felix Ott

Trans. Mach. Learn. Res., 2025

Multimodal-to-Text Prompt Engineering in Large Language Models Using Feature Embeddings for GNSS Interference Characterization.

Harshith Manjunath, Lucas Heublein, Tobias Feigl, Felix Ott

Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

GenAI for Energy-Efficient and Interference-Aware Compressed Sensing of GNSS Signals on a Google Edge TPU.

Thorben Wegner, Lucas Heublein, Tobias Feigl, Felix Ott, Christopher Mutschler, Alexander Rügamer

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2025

Exploitation of Hidden Context in Dynamic Movement Forecasting: A Neural Network Journey from Recurrent to Graph Neural Networks and General Purpose Transformers.

Lukas Schelenz, Shobha Rajanna, Denis Gosalci, Lucas Heublein, Jonas Pirkl, Jonathan Ott, Felix Ott, Christopher Mutschler, Tobias Feigl

Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 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

Proceedings of the NOMS 2025 IEEE Network Operations and Management Symposium, 2025

5G-DIL: Domain Incremental Learning with Similarity-Aware Sampling for Dynamic 5G Indoor Localization.

Nisha Lakshmana Raichur, Lucas Heublein, Christopher Mutschler, Felix Ott

Proceedings of the International Conference on Localization and GNSS, 2025

Vae-Based Feature Disentanglement for Data Augmentation and Compression in Generalized Gnss Interference Classification.

Lucas Heublein, Simon Kocher, Tobias Feigl, Alexander Rügamer, Christopher Mutschler, Felix Ott

Proceedings of the International Conference on Localization and GNSS, 2025

Evaluating ML Robustness in GNSS Interference Classification, Characterization & Localization.

Lucas Heublein, Tobias Feigl, Thorsten Nowak, Alexander Rügamer, Christopher Mutschler, Felix Ott

Proceedings of the International Conference on Localization and GNSS, 2025

2024

GNSS Interference Spectrum Highway Dataset 1.

Felix Ott, Lucas Heublein, Nisha Lakshmana Raichur, Alexander Rügamer

Dataset, November, 2024

GNSS Interference Spectrum Highway Dataset 2.

Felix Ott, Lucas Heublein, Alexander Rügamer

Dataset, November, 2024

GNSS Interference Spectrum Controlled Low-Frequency.

Lucas Heublein, Tobias Feigl, Thorsten Nowak, Alexander Rügamer, Felix Ott

Dataset, November, 2024

GNSS Interference Spectrum & Low-Cost Controlled Indoor Dataset.

Tobias Brieger, Tobias Feigl, Lucas Heublein, Alexander Rügamer, Felix Ott

Dataset, November, 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

J. Vis. Commun. Image Represent., 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

CoRR, 2024

Achieving Generalization in Orchestrating GNSS Interference Monitoring Stations Through Pseudo-Labeling.

Lucas Heublein, Tobias Feigl, Alexander Rügamer, Felix Ott

CoRR, 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, Alexander Rügamer, Christopher Mutschler

Proceedings of the International Conference on Localization and GNSS, 2024

2023

Auxiliary Cross-Modal Representation Learning With Triplet Loss Functions for Online Handwriting Recognition.

Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler

IEEE Access, 2023

2022

Benchmarking online sequence-to-sequence and character-based handwriting recognition from IMU-enhanced pens.

Felix Ott, David Rügamer, Lucas Heublein, Tim Hamann, Jens Barth, Bernd Bischl, Christopher Mutschler

Int. J. Document Anal. Recognit., 2022

Cross-Modal Common Representation Learning with Triplet Loss Functions.

Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler

CoRR, 2022

Joint Classification and Trajectory Regression of Online Handwriting using a Multi-Task Learning Approach.

Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Domain Adaptation for Time-Series Classification to Mitigate Covariate Shift.

Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Representation Learning for Tablet and Paper Domain Adaptation in Favor of Online Handwriting Recognition.

Felix Ott, David Rügamer, Lucas Heublein, Bernd Bischl, Christopher Mutschler

Proceedings of the Pattern Recognition, Computer Vision, and Image Processing. ICPR 2022 International Workshops and Challenges, 2022