Maximilian Münch

Orcid: 0000-0002-2238-7870

According to our database1, Maximilian Münch authored at least 16 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2024
Crossing Domain Borders with Federated Few-Shot Adaptation.
Proceedings of the 13th International Conference on Pattern Recognition Applications and Methods, 2024

2023
Static and adaptive subspace information fusion for indefinite heterogeneous proximity data.
Neurocomputing, October, 2023

Efficient Cross-Domain Federated Learning by MixStyle Approximation.
CoRR, 2023

Sparse Nyström Approximation for Non-Vectorial Data Using Class-informed Landmark Selection.
Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

Unlocking the Potential of Non-PSD Kernel Matrices: A Polar Decomposition-based Transformation for Improved Prediction Models.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Memory Efficient Kernel Approximation for Non-Stationary and Indefinite Kernels.
Proceedings of the International Joint Conference on Neural Networks, 2022

Adaptive multi-modal positive semi-definite and indefinite kernel fusion for binary classification.
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021
Revisiting Memory Efficient Kernel Approximation: An Indefinite Learning Perspective.
CoRR, 2021

Scalable embedding of multiple perspectives for indefinite life-science data analysis.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

Multi-perspective embedding for non-metric time series classification.
Proceedings of the 29th European Symposium on Artificial Neural Networks, 2021

2020
Data-Driven Supervised Learning for Life Science Data.
Frontiers Appl. Math. Stat., 2020

Complex-Valued Embeddings of Generic Proximity Data.
Proceedings of the Structural, Syntactic, and Statistical Pattern Recognition, 2020

Encoding of Indefinite Proximity Data: A Structure Preserving Perspective.
Proceedings of the Pattern Recognition Applications and Methods, 2020

Structure Preserving Encoding of Non-euclidean Similarity Data.
Proceedings of the 9th International Conference on Pattern Recognition Applications and Methods, 2020

2019
Device-Free Passive Human Counting with Bluetooth Low Energy Beacons.
Proceedings of the Advances in Computational Intelligence, 2019

Towards a device-free passive presence detection system with Bluetooth Low Energy beacons.
Proceedings of the 27th European Symposium on Artificial Neural Networks, 2019


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