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cs.LG2025
Convergence for Discrete Parameter Update Schemes
Paul Wilson, Fabio Zanasi, George Constantinides
Modern deep learning models require immense computational resources, motivating research into low-precision training. Quantised training addresses this by representing training com…
cs.LG2024
Deep Learning with Parametric Lenses
Geoffrey S. H. Cruttwell, Bruno Gavranovic, Neil Ghani +2
We propose a categorical semantics for machine learning algorithms in terms of lenses, parametric maps, and reverse derivative categories. This foundation provides a powerful expla…