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cs.LG2026
PILOT: Policy-Informed Learned Optimization for Adaptive Deep Network Training
Sattam Altuuaim, Lama Ayash, Muhammad Mubashar +1
Despite the central role of optimization in deep learning, most optimizers rely on update structures whose functional form is fixed before training begins. This static design can l…
cs.LG2026
Epistemic Generative Adversarial Networks
Muhammad Mubashar, Fabio Cuzzolin
Generative models, particularly Generative Adversarial Networks (GANs), often suffer from a lack of output diversity, frequently generating similar samples rather than a wide range…