Biomedical Machine Learning (ML) is increasingly evaluated through Independent and Identically Distributed (IID) benchmarks, even when deployment involves irregular observation, missingness, distribution shift, and high failure costs. This position paper argues for a stability-oriented reporting standard for safety-rel...
Z. A. Zainal, O. Kavehei, I. Aguilar et al.· medRxiv· 0 citations
TMLN (Trajectory-Modulatory Landscape Navigation), a normative navigation policy that formalizes continual learning as an optimal control problem over a curved loss landscape, is proposed and significantly reduces the loss barrier between consecutive tasks.
I. Aguilar, Z. A. Zainal, Luis Fernando Herbozo Contreras et al.· 0 citations
By mathematically formalizing continuous biological metaplasticity as stable gradient-based regularization, SynGAP offers a highly robust and memory-efficient solution for adaptive intelligence at the edge.
I. Aguilar, Z. A. Zainal, O. Kavehei· 0 citations
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