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Thomas Strypsteen

2 accepted papers

2025

Balancing Multimodal Training Through Game-Theoretic Regularization

NeurIPS 2025spotlight

Multimodal learning holds the promise for richer information extraction by capturing dependencies across data sources. Yet, current training methods often underperform due to modality competition, a phenomenon where modalities contend for training resources, leaving some underoptimized. This raises…

Cited by 0SourcecodeScholar
2023

Neural Source Coding For Bandwidth-Efficient Brain-Computer Interfacing With Wireless Neuro-Sensor Networks

ICASSP 2023accepted

Neural Source Coding (NSC) is a technique that exploits the modelling power of (deep) neural network for the purpose of source coding. Its goal is to transform the data into a space of low entropy, where they can be coded by classic entropy coding schemes. In this paper, our goal is to investigate t…

Cited by 0SourceScholar