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Maurice Kuschel

2 accepted papers

2025

Explaining Representations in Correlation-based Deep Multiview Representation Learning

ICASSP 2025accepted

Multiview representation learning techniques based on deep correlation maximization have become increasingly popular for learning meaningful and compact representations from multiview data. Even though their performance is state-of-the-art in many interpretability-critical fields, their black-box be…

Cited by 0SourceScholar
2024

Rademacher Complexity Regularization for Correlation-Based Multiview Representation Learning

ICASSP 2024accepted

Deep correlation-based multiview representation learning techniques have become increasingly popular methods for extracting highly correlated representations from multiview data. However, their ability to find highly complex mappings between the views can also lead to overfitting and overly correlat…

Cited by 2SourceScholar