From the 1 of 79 linked papers with an AI index.
1 citations · 1 across the 34 of their papers we have counts for
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ImprovEvolve: Basin-Hopping Meets LLM-Guided Evolutionary Search
Alexey Kravatskiy, Valentin Khrulkov, Ivan Oseledets
LLM-guided evolutionary computation, most notably AlphaEvolve, has been remarkably successful in discovering novel mathematical constructions by solving challenging optimization pr…
GigaEvo: An Open Source Optimization Framework Powered By LLMs And Evolution Algorithms
Valentin Khrulkov, Andrey Galichin, Denis Bashkirov +5
Recent advances in LLM-guided evolutionary computation, particularly AlphaEvolve (Novikov et al., 2025; Georgiev et al., 2025), have demonstrated remarkable success in discovering…
Fast gradient-free activation maximization for neurons in spiking neural networks
Nikita Pospelov, Andrei Chertkov, Maxim Beketov +2
Elements of neural networks, both biological and artificial, can be described by their selectivity for specific cognitive features. Understanding these features is important for un…