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cs.LG2025
A Unified Perspective on Optimization in Machine Learning and Neuroscience: From Gradient Descent to Neural Adaptation
Jesús García Fernández, Nasir Ahmad, Marcel van Gerven
Iterative optimization is central to modern artificial intelligence (AI) and provides a crucial framework for understanding adaptive systems. This review provides a unified perspec…
cs.LG2025
Noise-based reward-modulated learning
Jesús García Fernández, Nasir Ahmad, Marcel van Gerven
The pursuit of energy-efficient and adaptive artificial intelligence (AI) has positioned neuromorphic computing as a promising alternative to conventional computing. However, achie…
cs.LG2024
Correlations Are Ruining Your Gradient Descent
Nasir Ahmad
Herein the topics of (natural) gradient descent, data decorrelation, and approximate methods for backpropagation are brought into a common discussion. Natural gradient descent illu…