5 citations · 9 across the 6 of their papers we have counts for
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cs.NE2025★ 1 cited
Discovering Quality-Diversity Algorithms via Meta-Black-Box Optimization
Maxence Faldor, Robert Tjarko Lange, Antoine Cully
Quality-Diversity has emerged as a powerful family of evolutionary algorithms that generate diverse populations of high-performing solutions by implementing local competition princ…
cs.NE2023★ 2 cited
NeuroEvoBench: Benchmarking Evolutionary Optimizers for Deep Learning Applications
Robert Tjarko Lange, Yujin Tang, Yingtao Tian
Recently, the Deep Learning community has become interested in evolutionary optimization (EO) as a means to address hard optimization problems, e.g. meta-learning through long inne…