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Complex-Valued Unitary Representations as Classification Heads for Improved Uncertainty Quantification in Deep Neural Networks
Akbar Anbar Jafari, Cagri Ozcinar, Gholamreza Anbarjafari
Modern deep neural networks achieve high predictive accuracy but remain poorly calibrated: their confidence scores do not reliably reflect the true probability of correctness. We p…
Closed-Loop Transformers: Autoregressive Modeling as Iterative Latent Equilibrium
Akbar Anbar Jafari, Gholamreza Anbarjafari
Contemporary autoregressive transformers operate in open loop: each hidden state is computed in a single forward pass and never revised, causing errors to propagate uncorrected thr…
Dynamic Nested Hierarchies: Pioneering Self-Evolution in Machine Learning Architectures for Lifelong Intelligence
Akbar Anbar Jafari, Cagri Ozcinar, Gholamreza Anbarjafari
Contemporary machine learning models, including large language models, exhibit remarkable capabilities in static tasks yet falter in non-stationary environments due to rigid archit…