12 citations · 12 across the 3 of their papers we have counts for
3 papers
Code World Models for Parameter Control in Evolutionary Algorithms
Camilo Chacón Sartori, Guillem Rodríguez Corominas
Can an LLM learn how an optimizer behaves -- and use that knowledge to control it? We extend Code World Models (CWMs), LLM-synthesized Python programs that predict environment dyna…
Metaheuristics and Large Language Models Join Forces: Toward an Integrated Optimization Approach
Camilo Chacón Sartori, Christian Blum, Filippo Bistaffa +1
Since the rise of Large Language Models (LLMs) a couple of years ago, researchers in metaheuristics (MHs) have wondered how to use their power in a beneficial way within their algo…
Graph Constrained Data Representation Learning for Human Motion Segmentation
Mariella Dimiccoli, Lluís Garrido, Guillem Rodriguez-Corominas +1
Recently, transfer subspace learning based approaches have shown to be a valid alternative to unsupervised subspace clustering and temporal data clustering for human motion segment…