67 citations · 283 across the 39 of their papers we have counts for
6 papers · 1 filter
The Future of Fundamental Science Led by Generative Closed-Loop Artificial Intelligence
Hector Zenil, Jesper Tegnér, Felipe S. Abrahão +17
Recent advances in machine learning and AI, including Generative AI and LLMs, are disrupting technological innovation, product development, and society as a whole. AI's contributio…
Comparing Algorithm Selection Approaches on Black-Box Optimization Problems
Ana Kostovska, Anja Jankovic, Diederick Vermetten +3
Performance complementarity of solvers available to tackle black-box optimization problems gives rise to the important task of algorithm selection (AS). Automated AS approaches can…
Artificial intelligence to advance Earth observation: : A review of models, recent trends, and pathways forward
Devis Tuia, Konrad Schindler, Begüm Demir +11
Earth observation (EO) is a prime instrument for monitoring land and ocean processes, studying the dynamics at work, and taking the pulse of our planet. This article gives a bird's…
Automated Scientific Discovery: From Equation Discovery to Autonomous Discovery Systems
Stefan Kramer, Mattia Cerrato, Jannis Brugger +2
The paper surveys automated scientific discovery, from equation discovery and symbolic regression to autonomous discovery systems and agents. It discusses the individual approaches…
Efficient Generator of Mathematical Expressions for Symbolic Regression
Sebastian Mežnar, Sašo Džeroski, Ljupčo Todorovski
We propose an approach to symbolic regression based on a novel variational autoencoder for generating hierarchical structures, HVAE. It combines simple atomic units with shared wei…
Using Knowledge Graphs for Performance Prediction of Modular Optimization Algorithms
Ana Kostovska, Diederick Vermetten, Sašo Džeroski +3
Empirical data plays an important role in evolutionary computation research. To make better use of the available data, ontologies have been proposed in the literature to organize t…