Vajira Thambawita — Papers on Cortexa

arxivcs.CLcs.CV2026-07-16

Beyond the Leaderboard: Design Lessons for Trustworthy Multimodal VQA

Sushant Gautam, Vajira Thambawita, Michael A. Riegler, Pål Halvorsen, Steven A. Hicks

Healthcare multimodal AI must combine visual and textual evidence while remaining reliable and interpretable. Using MediaEval Medico 2025 as a retrospective GI endoscopy case study, we analyze design choices across nine documented systems for question answering and explanation qu…

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arxivcs.LG2026-06-29

Improved Predictive Performance and Interpretability for Mesomorphic Neural Networks Using Local Fidelity Regularization

Hugo L. Hammer, Vajira Thambawita, Kristoffer Herland Hellton, Pål Halvorsen

Interpretable Mesomorphic Neural Networks (IMNs) offer a promising framework that combines the predictive power of deep neural networks with the interpretability of linear models. However, the original formulation lacks safeguards to ensure that the learned interpretations are in…

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