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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Discovering representations for black-box optimization
Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
Proceedings of the Genetic and Evolutionary Computation Conference (2020), pp. 103-111
Open Access | Times Cited: 41

Showing 1-25 of 41 citing articles:

Quality-Diversity Optimization: A Novel Branch of Stochastic Optimization
Konstantinos Chatzilygeroudis, Antoine Cully, Vassilis Vassiliades, et al.
Springer optimization and its applications (2021), pp. 109-135
Closed Access | Times Cited: 52
Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains
Manon Flageat, Félix Chalumeau, Antoine Cully
ACM Transactions on Evolutionary Learning and Optimization (2023) Vol. 3, Iss. 1, pp. 1-32
Open Access | Times Cited: 13
Approximating gradients for differentiable quality diversity in reinforcement learning
Bryon Tjanaka, Matthew C. Fontaine, Julian Togelius, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 1102-1111
Open Access | Times Cited: 20
Multi-emitter MAP-elites
Antoine Cully
Proceedings of the Genetic and Evolutionary Computation Conference (2021), pp. 84-92
Open Access | Times Cited: 23
Policy manifold search
Nemanja Rakicevic, Antoine Cully, Petar Kormushev
Proceedings of the Genetic and Evolutionary Computation Conference (2021)
Open Access | Times Cited: 23
Genetic-algorithm-aided ultra-broadband perfect absorbers using plasmonic metamaterials
A. Mayer, Hai Bi, Sarah Griesse-Nascimento, et al.
Optics Express (2021) Vol. 30, Iss. 2, pp. 1167-1167
Open Access | Times Cited: 23
On the Versatile Uses of Partial Distance Correlation in Deep Learning
Xingjian Zhen, Zihang Meng, Rudrasis Chakraborty, et al.
Lecture notes in computer science (2022), pp. 327-346
Open Access | Times Cited: 14
Generating and Blending Game Levels via Quality-Diversity in the Latent Space of a Variational Autoencoder
Anurag Sarkar, Seth Cooper
(2021), pp. 1-11
Open Access | Times Cited: 18
Using a Variational Autoencoder to Learn Valid Search Spaces of Safely Monitored Autonomous Robots for Last-Mile Delivery
Peter J. Bentley, Soo Ling Lim, Paolo Arcaini, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 1303-1311
Open Access | Times Cited: 7
Deep surrogate assisted MAP-elites for automated hearthstone deckbuilding
Yulun Zhang, Matthew C. Fontaine, Amy K. Hoover, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2022), pp. 158-167
Open Access | Times Cited: 11
Preference-Learning Emitters for Mixed-Initiative Quality-Diversity Algorithms
Roberto Gallotta, Kai Arulkumaran, L. B. Soros
IEEE Transactions on Games (2023) Vol. 16, Iss. 2, pp. 303-316
Open Access | Times Cited: 4
Enhancing MAP-Elites with Multiple Parallel Evolution Strategies
Manon Flageat, Bryan Lim, Antoine Cully
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 1082-1090
Closed Access | Times Cited: 1
Expressivity of parameterized and data-driven representations in quality diversity search
Alexander Hagg, Sebastian Berns, Alexander Asteroth, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2021), pp. 678-686
Open Access | Times Cited: 11
Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders
Peter J. Bentley, Soo Ling Lim, Adam Gaier, et al.
Lecture notes in computer science (2022), pp. 371-384
Closed Access | Times Cited: 7
Monte Carlo elites
Konstantinos Sfikas, Antonios Liapis, Georgios N. Yannakakis
Proceedings of the Genetic and Evolutionary Computation Conference (2021), pp. 180-188
Open Access | Times Cited: 9
Ensemble feature extraction for multi-container quality-diversity algorithms
Léo Cazenille
Proceedings of the Genetic and Evolutionary Computation Conference (2021)
Open Access | Times Cited: 9
COIL: Constrained optimization in learned latent space
Peter J. Bentley, Soo Ling Lim, Adam Gaier, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022), pp. 1870-1877
Open Access | Times Cited: 6
An optimal design for S-shaped air intake diffusers using simultaneous entropy generation analysis and multi-objective genetic algorithm
Mitra Yadegari
The European Physical Journal Plus (2021) Vol. 136, Iss. 10
Closed Access | Times Cited: 8
What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator
Hongyao Tang, Zhaopeng Meng, Jianye Hao, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2022) Vol. 36, Iss. 8, pp. 8441-8449
Open Access | Times Cited: 5
Optimization of single-obstacle location and distance between square obstacles in a curved channel
Hamzeh Haghighatjoo, Mitra Yadegari, Abdolamir Bak Khoshnevis
The European Physical Journal Plus (2022) Vol. 137, Iss. 9
Closed Access | Times Cited: 4
Generating diverse and discriminatory knapsack instances by searching for novelty in variable dimensions of feature-space
Alejandro Marrero, Eduardo Segredo, Emma Hart, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 312-320
Open Access | Times Cited: 2
Quality-diversity optimisation
Antoine Cully, Jean-Baptiste Mouret, Stéphane Doncieux
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2022)
Closed Access | Times Cited: 3
Covariance Matrix Adaptation MAP-Annealing: Theory and Experiments
Shihan Zhao, Bryon Tjanaka, Matthew C. Fontaine, et al.
ACM Transactions on Evolutionary Learning and Optimization (2024) Vol. 5, Iss. 1, pp. 1-53
Open Access
Generative Design through Quality-Diversity Data Synthesis and Language Models
Adam Gaier, James Stoddart, Lorenzo Villaggi, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 823-831
Open Access
On Evolvability and Behavior Landscapes in Neuroevolutionary Divergent Search
Bruno Gašperov, Marko Đurasević
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 1203-1211
Open Access | Times Cited: 1
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