Manuel Röder

According to our database, Manuel Röder authored at least 8 papers between 2022 and 2024.

Collaborative distances:

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

2024

Sparse Uncertainty-Informed Sampling from Federated Streaming Data.

Manuel Röder, Frank-Michael Schleif

CoRR, 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

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