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:
Covariance Matrix Adaptation MAP-Annealing
Matthew C. Fontaine, Stefanos Nikolaidis
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 456-465
Open Access | Times Cited: 10
Matthew C. Fontaine, Stefanos Nikolaidis
Proceedings of the Genetic and Evolutionary Computation Conference (2023), pp. 456-465
Open Access | Times Cited: 10
Showing 10 citing articles:
Parametric-Task MAP-Elites
Timothée Anne, Jean-Baptiste Mouret
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 68-77
Open Access
Timothée Anne, Jean-Baptiste Mouret
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 68-77
Open Access
Quality-Diversity Generative Sampling for Learning with Synthetic Data
Allen Y. Chang, Matthew C. Fontaine, Serena Booth, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 18, pp. 19805-19812
Open Access
Allen Y. Chang, Matthew C. Fontaine, Serena Booth, et al.
Proceedings of the AAAI Conference on Artificial Intelligence (2024) Vol. 38, Iss. 18, pp. 19805-19812
Open Access
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
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
Arbitrarily Scalable Environment Generators via Neural Cellular Automata (Extended Abstract)
Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, et al.
Proceedings of the International Symposium on Combinatorial Search (2024) Vol. 17, pp. 307-308
Open Access
Yulun Zhang, Matthew C. Fontaine, Varun Bhatt, et al.
Proceedings of the International Symposium on Combinatorial Search (2024) Vol. 17, pp. 307-308
Open Access
Density Descent for Diversity Optimization
David H. Lee, Anishalakshmi V. Palaparthi, Matthew C. Fontaine, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 674-682
Open Access
David H. Lee, Anishalakshmi V. Palaparthi, Matthew C. Fontaine, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 674-682
Open Access
Quality with Just Enough Diversity in Evolutionary Policy Search
Paul Templier, Luca Grillotti, Emmanuel Rachelson, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 105-113
Open Access
Paul Templier, Luca Grillotti, Emmanuel Rachelson, et al.
Proceedings of the Genetic and Evolutionary Computation Conference (2024), pp. 105-113
Open Access
Synergizing Quality-Diversity with Descriptor-Conditioned Reinforcement Learning
Maxence Faldor, Félix Chalumeau, Manon Flageat, et al.
ACM Transactions on Evolutionary Learning and Optimization (2024)
Closed Access
Maxence Faldor, Félix Chalumeau, Manon Flageat, et al.
ACM Transactions on Evolutionary Learning and Optimization (2024)
Closed Access
Solving Deceptive Problems Without Explicit Diversity Maintenance
Ryan Boldi, Li Ding, Lee Spector
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 171-174
Closed Access
Ryan Boldi, Li Ding, Lee Spector
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 171-174
Closed Access
Generating Diverse Critics for Conditioned Policy Distillation
Ryan Boldi, Matthew C. Fontaine, Sumeet Batra, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 167-170
Closed Access
Ryan Boldi, Matthew C. Fontaine, Sumeet Batra, et al.
Proceedings of the Genetic and Evolutionary Computation Conference Companion (2024), pp. 167-170
Closed Access
Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing
Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 10, pp. 6771-6778
Open Access | Times Cited: 1
Bryon Tjanaka, Matthew C. Fontaine, David H. Lee, et al.
IEEE Robotics and Automation Letters (2023) Vol. 8, Iss. 10, pp. 6771-6778
Open Access | Times Cited: 1
