1 citations · 1 across the 6 of their papers we have counts for
Showing cs.LGShow all
3 papers · 1 filter
cs.LG2025
Self-Organizing Survival Manifolds: A Theory for Unsupervised Discovery of Prognostic Structures in Biological Systems
Atahan Karagoz
Survival is traditionally modeled as a supervised learning task, reliant on curated outcome labels and fixed covariates. This work rejects that premise. It proposes that survival i…
cs.LG2025
Computational Inertia as a Conserved Quantity in Frictionless and Damped Learning Dynamics
Atahan Karagoz
We identify a conserved quantity in continuous-time optimization dynamics, termed computational inertia. Defined as the sum of kinetic energy (parameter velocity) and potential ene…
cs.LG2025
OmicsCL: Unsupervised Contrastive Learning for Cancer Subtype Discovery and Survival Stratification
Atahan Karagoz
Unsupervised learning of disease subtypes from multi-omics data presents a significant opportunity for advancing personalized medicine. We introduce OmicsCL, a modular contrastive…