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cs.LG2026
Exhaustive Canonical Skeletons Generation: A Formal Dataset for Decomposable Symbolic Regression
Giorgio Morales, Anikó Ekárt
Neural symbolic regression (SR) models require diverse datasets of mathematical expressions for robust training. However, existing datasets rely predominantly on stochastic samplin…
cs.LG2019
On the Effects of Pseudo and Quantum Random Number Generators in Soft Computing
Jordan J. Bird, Anikó Ekárt, Diego R. Faria
In this work, we argue that the implications of Pseudo and Quantum Random Number Generators (PRNG and QRNG) inexplicably affect the performances and behaviours of various machine l…