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Adam Gaier
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Cited by
Year
Weight Agnostic Neural Networks
A Gaier, D Ha
(NeurIPS) Advances in Neural Information Processing Systems 32, 2019
3062019
Data-efficient design exploration through surrogate-assisted illumination
A Gaier, A Asteroth, JB Mouret
(ECJ) Evolutionary Computation 26 (3), 381-410, 2018
752018
Discovering Representations for Black-box Optimization
A Gaier, A Asteroth, JB Mouret
(GECCO) Proceedings of the Genetic and Evolutionary Computation Conference, 2020
55*2020
Data-Efficient Exploration, Optimization, and Modeling of Diverse Designs through Surrogate-Assisted Illumination
A Gaier, A Asteroth, JB Mouret
(GECCO) Proceedings of the Genetic and Evolutionary Computation Conference, 2017
522017
Aerodynamic design exploration through surrogate-assisted illumination
A Gaier, A Asteroth, JB Mouret
(AIAA) 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization …, 2017
292017
Are quality diversity algorithms better at generating stepping stones than objective-based search?
A Gaier, A Asteroth, JB Mouret
(GECCO) Proceedings of the Genetic and Evolutionary Computation Conference, 2019
262019
Language Model Crossover: Variation through Few-Shot Prompting
E Meyerson, MJ Nelson, H Bradley, A Gaier, A Moradi, AK Hoover, ...
arXiv preprint arXiv:2302.12170, 2023
252023
Data-Efficient Neuroevolution with Kernel-Based Surrogate Models
A Gaier, A Asteroth, JB Mouret
(GECCO) Proceedings of the Genetic and Evolutionary Computation Conference, 2018
192018
Multi-stage evolution of single-and multi-objective MCLP
H Spieker, A Hagg, A Gaier, S Meilinger, A Asteroth
(Soft Computing) Soft Computing 21 (17), 4859-4872, 2017
14*2017
Evolution of optimal control for energy-efficient transport
A Gaier, A Asteroth
(IV) 2014 IEEE Intelligent Vehicles Symposium Proceedings, 1121-1126, 2014
82014
Evolving through the looking glass: Learning improved search spaces with variational autoencoders
PJ Bentley, SL Lim, A Gaier, L Tran
(PPSN) International Conference on Parallel Problem Solving from Nature, 371-384, 2022
72022
COIL: Constrained Optimization in Learned Latent Space -- Learning Representations for Valid Solutions
PJ Bentley, SL Lim, A Gaier, L Tran
(GECCO) Proceedings of the Genetic and Evolutionary Computation Conference …, 2022
62022
Prediction of neural network performance by phenotypic modeling
A Hagg, M Zaefferer, J Stork, A Gaier
(GECCO) Proceedings of the Genetic and Evolutionary Computation Conference, 2019
62019
Evolving look ahead controllers for energy optimal driving and path planning
A Gaier, A Asteroth
(INISTA) 2014 IEEE International Symposium on Innovations in Intelligent …, 2014
42014
BOP-Elites, a Bayesian Optimisation Approach to Quality Diversity Search with Black-Box descriptor functions
P Kent, A Gaier, JB Mouret, J Branke
arXiv preprint arXiv:2307.09326, 2023
32023
Harnessing Game-Inspired Content Creation for Intuitive Generative Design and Optimization
L Villaggi, J Stoddart, A Gaier
(DMS) Design Modelling Symposium Berlin, 149-160, 2023
22023
T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective
A Gaier, J Stoddart, L Villaggi, PJ Bentley
(PPSN) International Conference on Parallel Problem Solving from Nature …, 2022
22022
Accelerating Evolutionary Design Exploration with Predictive and Generative Models
A Gaier
(PhD Dissertation) Inria / Université de Lorraine, 2020
22020
Evolutionary Design via Indirect Encoding of Non-Uniform Rational Basis Splines
A Gaier
(GECCO) Proceedings of the Genetic and Evolutionary Computation Conference, 2015
12015
Bayesian optimisation for quality diversity search with coupled descriptor functions
P Kent, A Gaier, JB Mouret, J Branke
IEEE Transactions on Evolutionary Computation, 2024
2024
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