Maximilian Münch

17 papers A 1B 5C 2Journal 5Unranked 4
YearRankTypeTitle / Venue / Authors
2024 C conf
Crossing Domain Borders with Federated Few-Shot Adaptation.
ICPRAM
Manuel Röder, Maximilian Münch, Christoph Raab, Frank-Michael Schleif
2023 J jnl
Efficient Cross-Domain Federated Learning by MixStyle Approximation.
CoRR
Manuel Röder, Leon Heller, Maximilian Münch, Frank-Michael Schleif
2023 B conf
Sparse Nyström Approximation for Non-Vectorial Data Using Class-informed Landmark Selection.
ESANN
Maximilian Münch, Katrin Sophie Bohnsack, Alexander Engelsberger, Frank-Michael Schleif, Thomas Villmann
2023 J jnl
Static and adaptive subspace information fusion for indefinite heterogeneous proximity data.
Neurocomputing
Maximilian Münch, Manuel Röder, Simon Heilig, Christoph Raab, Frank-Michael Schleif
2023 A conf
Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models.
CIKM
Maximilian Münch, Manuel Röder, Frank-Michael Schleif
2022 B conf
Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification.
ESANN
Maximilian Münch, Christoph Raab, Simon Heilig, Manuel Röder, Frank-Michael Schleif
2022 B conf
Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels.
IJCNN
Simon Heilig, Maximilian Münch, Frank-Michael Schleif
2021 B conf
Multi-perspective embedding for non-metric time series classification.
ESANN
Maximilian Münch, Simon Heilig, Frank-Michael Schleif
2021 J jnl
Revisiting Memory Efficient Kernel Approximation: An Indefinite Learning Perspective.
CoRR
Simon Heilig, Maximilian Münch, Frank-Michael Schleif
2021 — conf
Scalable embedding of multiple perspectives for indefinite life-science data analysis.
SSCI
Maximilian Münch, Simon Heilig, Philipp Väth, Frank-Michael Schleif
2020 — conf
Complex-Valued Embeddings of Generic Proximity Data.
S+SSPR
Maximilian Münch, Michiel Straat, Michael Biehl, Frank-Michael Schleif
2020 J jnl
Complex-valued embeddings of generic proximity data.
CoRR
Maximilian Münch, Michiel Straat, Michael Biehl, Frank-Michael Schleif
2020 J jnl
Data-Driven Supervised Learning for Life Science Data.
Frontiers Appl. Math. Stat.
Maximilian Münch, Christoph Raab, Michael Biehl, Frank-Michael Schleif
2020 — conf
Encoding of Indefinite Proximity Data: A Structure Preserving Perspective.
ICPRAM (Revised Selected Papers)
Maximilian Münch, Christoph Raab, Frank-Michael Schleif
2020 C conf
Structure Preserving Encoding of Non-euclidean Similarity Data.
ICPRAM
Maximilian Münch, Christoph Raab, Michael Biehl, Frank-Michael Schleif
2019 — conf
Device-Free Passive Human Counting with Bluetooth Low Energy Beacons.
IWANN (2)
Maximilian Münch, Frank-Michael Schleif
2019 B conf
Towards a device-free passive presence detection system with Bluetooth Low Energy beacons.
ESANN
Maximilian Münch, Karsten Huffstadt, Frank-Michael Schleif