DRSR uses Quality-Diversity to produce diverse symbolic regression expressions differing in residual distributions, enabling post-search selection on synthetic and astronomical data.
Fischler and Robert C
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2representative citing papers
A new PCR algorithm using probabilistic self-update local correspondence and line vector sets achieves superior time efficiency and at least 10% RMSE improvement over state-of-the-art methods.
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Diversified Residual Symbolic Regression
DRSR uses Quality-Diversity to produce diverse symbolic regression expressions differing in residual distributions, enabling post-search selection on synthetic and astronomical data.
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Point Cloud Registration via Probabilistic Self-Update Local Correspondence and Line Vector Sets
A new PCR algorithm using probabilistic self-update local correspondence and line vector sets achieves superior time efficiency and at least 10% RMSE improvement over state-of-the-art methods.