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Books and Theses
- 2020
[b1]Adam Gaier:
Accelerating Evolutionary Design Exploration with Predictive and Generative Models. (Accélérer l'exploration de la conception par algorithme évolutionniste grâce à des modèles prédictifs et génératifs). University of Lorraine, Nancy, France, 2020
Journal Articles
- 2023
- [j3]Adam Gaier, Giuseppe Paolo, Antoine Cully:
Editorial to the "Evolutionary Reinforcement Learning" Special Issue. ACM Trans. Evol. Learn. Optim. 3(3): 9:1-9:2 (2023) - 2018
- [j2]Adam Gaier, Alexander Asteroth
, Jean-Baptiste Mouret:
Data-Efficient Design Exploration through Surrogate-Assisted Illumination. Evol. Comput. 26(3) (2018) - 2017
- [j1]Helge Spieker, Alexander Hagg, Adam Gaier, Stefanie Meilinger, Alexander Asteroth:
Multi-stage evolution of single- and multi-objective MCLP - Successive placement of charging stations. Soft Comput. 21(17): 4859-4872 (2017)
Conference and Workshop Papers
- 2024
- [c15]Yi Wang, Jieliang Luo, Adam Gaier, Evan Atherton, Hilmar Koch:
PlotMap: Automated Layout Design for Building Game Worlds. CoG 2024: 1-8 - [c14]Adam Gaier, James Stoddart, Lorenzo Villaggi, Shyam Sudhakaran:
Generative Design through Quality-Diversity Data Synthesis and Language Models. GECCO 2024 - 2022
- [c13]Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran:
COIL: Constrained optimization in learned latent space: learning representations for valid solutions. GECCO Companion 2022: 1870-1877 - [c12]Paul Kent, Jürgen Branke, Adam Gaier, Jean-Baptiste Mouret:
A discretization-free metric for assessing quality diversity algorithms. GECCO Companion 2022: 2131-2135 - [c11]Adam Gaier, James Stoddart, Lorenzo Villaggi, Peter J. Bentley:
T-DominO - Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective. PPSN (2) 2022: 263-277 - [c10]Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran:
Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders. PPSN (1) 2022: 371-384 - 2020
- [c9]Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret:
Discovering representations for black-box optimization. GECCO 2020: 103-111 - 2019
- [c8]Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret:
Are quality diversity algorithms better at generating stepping stones than objective-based search? GECCO (Companion) 2019: 115-116 - [c7]Alexander Hagg, Martin Zaefferer, Jörg Stork, Adam Gaier:
Prediction of neural network performance by phenotypic modeling. GECCO (Companion) 2019: 1576-1582 - [c6]Adam Gaier, David Ha:
Weight Agnostic Neural Networks. NeurIPS 2019: 5365-5379 - 2018
- [c5]Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret:
Data-efficient neuroevolution with kernel-based surrogate models. GECCO 2018: 85-92 - 2017
- [c4]Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret:
Data-efficient exploration, optimization, and modeling of diverse designs through surrogate-assisted illumination. GECCO 2017: 99-106 - 2015
- [c3]Adam Gaier:
Evolutionary Design via Indirect Encoding of Non-Uniform Rational Basis Splines. GECCO (Companion) 2015: 1197-1200 - 2014
- [c2]Adam Gaier, Alexander Asteroth:
Evolving look ahead controllers for energy optimal driving and path planning. INISTA 2014: 138-145 - [c1]Adam Gaier, Alexander Asteroth:
Evolution of optimal control for energy-efficient transport. Intelligent Vehicles Symposium 2014: 1121-1126
Informal and Other Publications
- 2024
- [i10]Adam Gaier, James Stoddart, Lorenzo Villaggi, Shyam Sudhakaran:
Generative Design through Quality-Diversity Data Synthesis and Language Models. CoRR abs/2405.09997 (2024) - 2023
- [i9]Yi Wang, Jieliang Luo, Adam Gaier, Evan Atherton, Hilmar Koch:
PlotMap: Automated Layout Design for Building Game Worlds. CoRR abs/2309.15242 (2023) - 2022
- [i8]Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran:
COIL: Constrained Optimization in Learned Latent Space - Learning Representations for Valid Solutions. CoRR abs/2202.02163 (2022) - [i7]Adam Gaier, James Stoddart, Lorenzo Villaggi, Peter J. Bentley:
T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective. CoRR abs/2207.01439 (2022) - 2020
- [i6]Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret:
Automating Representation Discovery with MAP-Elites. CoRR abs/2003.04389 (2020) - 2019
- [i5]Adam Gaier, David Ha:
Weight Agnostic Neural Networks. CoRR abs/1906.04358 (2019) - [i4]Alexander Hagg, Martin Zaefferer, Jörg Stork, Adam Gaier:
Prediction of neural network performance by phenotypic modeling. CoRR abs/1907.07075 (2019) - 2018
- [i3]Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret:
Data-efficient Neuroevolution with Kernel-Based Surrogate Models. CoRR abs/1804.05364 (2018) - [i2]Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret:
Data-Efficient Design Exploration through Surrogate-Assisted Illumination. CoRR abs/1806.05865 (2018) - 2017
- [i1]Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret:
Feature Space Modeling Through Surrogate Illumination. CoRR abs/1702.03713 (2017)
Coauthor Index
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