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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.LG2024★ 10 cited
Gradient-Free Training of Recurrent Neural Networks using Random Perturbations
Jesus Garcia Fernandez, Sander Keemink, Marcel van Gerven
Recurrent neural networks (RNNs) hold immense potential for computations due to their Turing completeness and sequential processing capabilities, yet existing methods for their tra…