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cs.LG2026
On the Limits of Maximal Coding Rate Reduction for Out-of-Distribution Generalisation
Menghui Zhou, Gaoshan Bi, Vitaveska Lanfranchi +1
Substantial efforts have been devoted to making deep learning objectives, representations, and architectures interpretable, with the goal of improving the safety, robustness, and g…
cs.LG2026
DeMMO: Longitudinal and Cross-Disease Modelling of Digital Mobility Outcomes via Multi-Task Learning
Menghui Zhou, Zhipeng Yuan, Vitaveska Lanfranchi +1
Digital mobility outcomes (DMOs) derived from wearable sensors characterise mobility in daily life and offer a promising means of monitoring disease progression. However, existing…