3 citations · 3 across the 1 of their papers we have counts for
2 papers
cs.LG2025
On the Efficiency of Training Robust Decision Trees
Benedict Gerlach, Marie Anastacio, Holger H. Hoos
As machine learning gets adopted into the industry quickly, trustworthiness is increasingly in focus. Yet, efficiency and sustainability of robust training pipelines still have to…
cs.NE2025★ 3 cited
TinyverseGP: Towards a Modular Cross-domain Benchmarking Framework for Genetic Programming
Roman Kalkreuth, Fabricio Olivetti de França, Julian Dierkes +4
Over the years, genetic programming (GP) has evolved, with many proposed variations, especially in how they represent a solution. Being essentially a program synthesis algorithm, i…