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Maximilian Münch
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2020 – today
- 2024
- [c12]Manuel Röder, Maximilian Münch, Christoph Raab, Frank-Michael Schleif:
Crossing Domain Borders with Federated Few-Shot Adaptation. ICPRAM 2024: 511-521 - 2023
- [j2]Maximilian Münch, Manuel Röder, Simon Heilig, Christoph Raab, Frank-Michael Schleif:
Static and adaptive subspace information fusion for indefinite heterogeneous proximity data. Neurocomputing 555: 126635 (2023) - [c11]Maximilian Münch, Manuel Röder, Frank-Michael Schleif:
Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models. CIKM 2023: 1867-1876 - [c10]Maximilian Münch, Katrin Sophie Bohnsack, Alexander Engelsberger, Frank-Michael Schleif, Thomas Villmann:
Sparse Nyström Approximation for Non-Vectorial Data Using Class-informed Landmark Selection. ESANN 2023 - [i3]Manuel Röder, Leon Heller, Maximilian Münch, Frank-Michael Schleif:
Efficient Cross-Domain Federated Learning by MixStyle Approximation. CoRR abs/2312.07064 (2023) - 2022
- [c9]Maximilian Münch, Christoph Raab, Simon Heilig, Manuel Röder, Frank-Michael Schleif:
Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification. ESANN 2022 - [c8]Simon Heilig, Maximilian Münch, Frank-Michael Schleif:
Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels. IJCNN 2022: 1-8 - 2021
- [c7]Maximilian Münch, Simon Heilig, Frank-Michael Schleif:
Multi-perspective embedding for non-metric time series classification. ESANN 2021 - [c6]Maximilian Münch, Simon Heilig, Philipp Väth, Frank-Michael Schleif:
Scalable embedding of multiple perspectives for indefinite life-science data analysis. SSCI 2021: 1-8 - [i2]Simon Heilig, Maximilian Münch, Frank-Michael Schleif:
Revisiting Memory Efficient Kernel Approximation: An Indefinite Learning Perspective. CoRR abs/2112.09893 (2021) - 2020
- [j1]Maximilian Münch, Christoph Raab, Michael Biehl, Frank-Michael Schleif:
Data-Driven Supervised Learning for Life Science Data. Frontiers Appl. Math. Stat. 6: 553000 (2020) - [c5]Maximilian Münch, Christoph Raab, Michael Biehl, Frank-Michael Schleif:
Structure Preserving Encoding of Non-euclidean Similarity Data. ICPRAM 2020: 43-51 - [c4]Maximilian Münch, Christoph Raab, Frank-Michael Schleif:
Encoding of Indefinite Proximity Data: A Structure Preserving Perspective. ICPRAM (Revised Selected Papers) 2020: 112-137 - [c3]Maximilian Münch, Michiel Straat, Michael Biehl, Frank-Michael Schleif:
Complex-Valued Embeddings of Generic Proximity Data. S+SSPR 2020: 14-23 - [i1]Maximilian Münch, Michiel Straat, Michael Biehl, Frank-Michael Schleif:
Complex-valued embeddings of generic proximity data. CoRR abs/2008.13454 (2020)
2010 – 2019
- 2019
- [c2]Maximilian Münch, Karsten Huffstadt, Frank-Michael Schleif:
Towards a device-free passive presence detection system with Bluetooth Low Energy beacons. ESANN 2019 - [c1]Maximilian Münch, Frank-Michael Schleif:
Device-Free Passive Human Counting with Bluetooth Low Energy Beacons. IWANN (2) 2019: 799-810
Coauthor Index
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