Manuel Röder

According to our database, Manuel Röder authored at least 9 papers between 2022 and 2025.

Collaborative distances:

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

2025

Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation.

Manuel Röder, Christoph Raab, Frank-Michael Schleif

CoRR, July, 2025

2024

Crossing Domain Borders with Federated Few-Shot Adaptation.

Manuel Röder, Maximilian Münch, Christoph Raab, Frank-Michael Schleif

Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

Deep Transfer Hashing for Adaptive Learning on Federated Streaming Data.

Manuel Röder, Frank-Michael Schleif

Proceedings of the Workshop on Interactive Adaptive Learning co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), 2024

Sparse Uncertainty-Informed Sampling from Federated Streaming Data.

Manuel Röder, Frank-Michael Schleif

Proceedings of the 32nd European Symposium on Artificial Neural Networks, 2024

2023

Static and adaptive subspace information fusion for indefinite heterogeneous proximity data.

Maximilian Münch, Manuel Röder, Simon Heilig, Christoph Raab, Frank-Michael Schleif

Neurocomputing, October, 2023

Efficient Cross-Domain Federated Learning by MixStyle Approximation.

Manuel Röder, Leon Heller, Maximilian Münch, Frank-Michael Schleif

CoRR, 2023

Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models.

Maximilian Münch, Manuel Röder, Frank-Michael Schleif

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Domain adversarial tangent subspace alignment for explainable domain adaptation.

Christoph Raab, Manuel Röder, Frank-Michael Schleif

Neurocomputing, 2022

Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification.

Maximilian Münch, Christoph Raab, Simon Heilig, Manuel Röder, Frank-Michael Schleif

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022