1 citations · 1 across the 5 of their papers we have counts for
5 papers
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…
Energentic Intelligence: From Self-Sustaining Systems to Enduring Artificial Life
Atahan Karagoz
This paper introduces Energentic Intelligence, a class of autonomous systems defined not by task performance, but by their capacity to sustain themselves through internal energy re…
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…
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…
Ethics and Technical Aspects of Generative AI Models in Digital Content Creation
Atahan Karagoz
Generative AI models like GPT-4o and DALL-E 3 are reshaping digital content creation, offering industries tools to generate diverse and sophisticated text and images with remarkabl…