Maximilian Münch

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 17

Top Topics

Structure Preserving

Gaussian Kernels

Top Venues

ICPRAM (Revised Selected Papers)

Publications

Manuel Röder, Maximilian Münch, Christoph Raab, Frank-Michael Schleif
Crossing Domain Borders with Federated Few-Shot Adaptation. ICPRAM (2024)
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)
Maximilian Münch, Manuel Röder, Simon Heilig, Christoph Raab, Frank-Michael Schleif
Static and adaptive subspace information fusion for indefinite heterogeneous proximity data. Neurocomputing 555 (2023)
Manuel Röder, Leon Heller, Maximilian Münch, Frank-Michael Schleif
Efficient Cross-Domain Federated Learning by MixStyle Approximation. CoRR (2023)
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)
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)
Simon Heilig, Maximilian Münch, Frank-Michael Schleif
Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels. IJCNN (2022)
Maximilian Münch, Simon Heilig, Frank-Michael Schleif
Multi-perspective embedding for non-metric time series classification. ESANN (2021)
Simon Heilig, Maximilian Münch, Frank-Michael Schleif
Revisiting Memory Efficient Kernel Approximation: An Indefinite Learning Perspective. CoRR (2021)
Maximilian Münch, Simon Heilig, Philipp Väth, Frank-Michael Schleif
Scalable embedding of multiple perspectives for indefinite life-science data analysis. SSCI (2021)
Maximilian Münch, Michiel Straat, Michael Biehl, Frank-Michael Schleif
Complex-valued embeddings of generic proximity data. CoRR (2020)
Maximilian Münch, Christoph Raab, Michael Biehl, Frank-Michael Schleif
Data-Driven Supervised Learning for Life Science Data. Frontiers Appl. Math. Stat. 6 (2020)
Maximilian Münch, Christoph Raab, Michael Biehl, Frank-Michael Schleif
Structure Preserving Encoding of Non-euclidean Similarity Data. ICPRAM (2020)
Maximilian Münch, Michiel Straat, Michael Biehl, Frank-Michael Schleif
Complex-Valued Embeddings of Generic Proximity Data. S+SSPR (2020)
Maximilian Münch, Christoph Raab, Frank-Michael Schleif
Encoding of Indefinite Proximity Data: A Structure Preserving Perspective. ICPRAM (Revised Selected Papers) (2020)
Maximilian Münch, Karsten Huffstadt, Frank-Michael Schleif
Towards a device-free passive presence detection system with Bluetooth Low Energy beacons. ESANN (2019)
Maximilian Münch, Frank-Michael Schleif
Device-Free Passive Human Counting with Bluetooth Low Energy Beacons. IWANN (2) (2019)