Author

Helgi Hilmarsson

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#machine learning Preprint Sep 2026

Mycelium: A Generalizable Cross-Grid Multi-Task Model for Electrical Distribution Systems

Architectural ablations and the aforementioned studies reveal Mycelium's capability to learn representations of the underlying physics which serves to enhance cross-task performance, thereby addressing a significant challenge in unified grid models.

Zheng-Yang Wei, Shourya Bose, Helgi Hilmarsson et al. · 0 citations

Open access Jul 2026

Scalable high resolution ancestry deconvolution for genomic data

Gnomix is presented, a local ancestry framework that delivers leading accuracy across diverse admixed datasets on both whole-genome and array data with high efficiency, together with Gnofix, its fast phasing-error correction counterpart.

Helgi Hilmarsson, Arvind Kumar, Míriam Barrabés et al. · Nature Communications · 1 citation