7 citations · 7 across the 4 of their papers we have counts for
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cs.NE2026
Backpropagation as a Nilpotent Linear System
Ahmed Boughammoura
Backpropagation is the computational engine of deep learning, yet its mathematical structure is typically treated as a procedural traversal of computational graphs. We present a gl…
cs.NE2023
Backpropagation and F-adjoint
Ahmed Boughammoura
This paper presents a concise mathematical framework for investigating both feed-forward and backward process, during the training to learn model weights, of an artificial neural n…
cs.NE2023★ 7 cited
A Two-Step Rule for Backpropagation
Ahmed Boughammoura
We present a simplified computational rule for the back-propagation formulas for artificial neural networks. In this work, we provide a generic two-step rule for the back-propagati…