6 citations · 6 across the 6 of their papers we have counts for
3 papers · 1 filter
Fusion or Confusion? Multimodal Complexity Is Not All You Need
Tillmann Rheude, Roland Eils, Benjamin Wild
Multimodal learning has become a prominent research area, with the potential of substantial performance gains by combining information across modalities. At the same time, model de…
Cohort-Based Active Modality Acquisition
Tillmann Rheude, Roland Eils, Benjamin Wild
Real-world multimodal machine learning often faces missing, costly-to-acquire modalities, raising the problem of which samples to prioritize for additional acquisition under a budg…
Large Language Models are Powerful Electronic Health Record Encoders
Stefan Hegselmann, Georg von Arnim, Tillmann Rheude +5
Electronic Health Records (EHRs) offer considerable potential for clinical prediction, but their complexity and heterogeneity challenge traditional machine learning. Domain-specifi…