6 papers
A Persona-Based Evaluation Framework for Pluralistic Alignment in Generative AI
Atahan Karagoz
Current alignment paradigms for generative artificial intelligence rely predominantly on monolithic benchmarking frameworks that reduce the plurality of human judgment to aggregate…
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…