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Ahmad Raza Khan

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Open access Aug 2026

Quartz Optimizer: Robust Gradient Shaping and Bounded Adaptive Steps for Stable Deep Learning Training

Optimization plays a critical role in training deep neural networks, directly impacting convergence speed, model generalization, and stability. While existing methods such as stochastic gradient descent (SGD) and adaptive optimizers like Adam and AdamW have achieved significant success, they exhibit limitations in hand...

Ahmad Raza Khan, Sarab Almuhaideb · 0 citations
Open access Aug 2026

Cross-Architecture Assessment of Hyperparameter Optimization Techniques in Convolutional Neural Networks

It is demonstrated that hyperparameter optimization dynamics depend heavily on dataset complexity, where computational efficiency is the primary differentiator for simpler classification tasks, but optimization architecture selection becomes critical for navigating challenging medical imaging applications.

Sarab Almuhaideb, Ahmad Raza Khan · 0 citations

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