6 papers · 1 filter
Assessing flood-related wellbeing from public discourse in Ireland using large language model as judge, 2012--2025
Róisín Luo, Karyn Morrissey
Flooding is an environmental hazard that produces social and psychological consequences for exposed individuals, shaping threat appraisal, perceived coping capacity, access to soci…
A population-level assessment framework for flood-related wellbeing from public discourse in Ireland
Róisín Luo, Karyn Morrissey
\ textbf{Background.} Ireland's position on the eastern North Atlantic exposes it to moisture-laden westerlies and frequent low-pressure systems, generating abundant precipitation…
ZetaGPT: A Reference Implementation of Positional--Encoding--Free State--Space--Attention Language Models
Róisín Luo
Transformer-based language models rely on self-attention, whose computation is permutation-equivariant and therefore lacks an intrinsic mechanism for representing token order. Exis…
Lipschitz Continuity in Deep Learning: A Systematic Review of Theoretical Foundations, Estimation Methods, Regularization Approaches, and Certifiable Robustness
Róisín Luo, James McDermott, Colm O'Riordan
Lipschitz continuity is a fundamental property of neural networks that characterizes their sensitivity to input perturbations. It plays a pivotal role in deep learning, governing \…
A Stochastic--Geometric Theory of Scaling Laws in Grokking
Róisín Luo, Christian Gagné, Jonas Ngnawé +2
Delayed generalization (\ie~grokking) refers to the phenomenon in which a neural network fits its training data early in training but only begins to generalize after a prolonged de…
Principles of Lipschitz continuity in neural networks
Róisín Luo
Deep learning has achieved remarkable success across a wide range of domains, significantly expanding the frontiers of what is achievable in artificial intelligence. Yet, despite t…