Adam Gaier

35 papers A* 1A 4B 1C 2Journal 19Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bayesian Optimization for Quality Diversity Search With Coupled Descriptor Functions.
IEEE Trans. Evol. Comput.
Paul Kent, Adam Gaier, Jean-Baptiste Mouret, Juergen Branke
2025 J jnl
Full Domain Analysis in Fluid Dynamics.
CoRR
Alexander Hagg, Adam Gaier, Dominik Wilde, Alexander Asteroth, Holger Foysi, Dirk Reith
2025 J jnl
Full Domain Analysis in Fluid Dynamics.
Mach. Learn. Knowl. Extr.
Alexander Hagg, Adam Gaier, Dominik Wilde, Alexander Asteroth, Holger Foysi, Dirk Reith
2025 J jnl
Graph of Agents: Principled Long Context Modeling by Emergent Multi-Agent Collaboration.
CoRR
Taejong Joo, Shu Ishida, Ivan Sosnovik, Bryan Lim, Sahand Rezaei-Shoshtari, Adam Gaier, Robert Giaquinto
2024 A conf
Generative Design through Quality-Diversity Data Synthesis and Language Models.
GECCO
Adam Gaier, James Stoddart, Lorenzo Villaggi, Shyam Sudhakaran
2024 J jnl
Generative Design through Quality-Diversity Data Synthesis and Language Models.
CoRR
Adam Gaier, James Stoddart, Lorenzo Villaggi, Shyam Sudhakaran
2024 J jnl
Language Model Crossover: Variation through Few-Shot Prompting.
ACM Trans. Evol. Learn. Optim.
Elliot Meyerson, Mark J. Nelson, Herbie Bradley, Adam Gaier, Arash Moradi Karkaj, Amy K. Hoover, Joel Lehman
2024 C conf
PlotMap: Automated Layout Design for Building Game Worlds.
CoG
Yi Wang, Jieliang Luo, Adam Gaier, Evan Atherton, Hilmar Koch
2023 J jnl
Editorial to the "Evolutionary Reinforcement Learning" Special Issue.
ACM Trans. Evol. Learn. Optim.
Adam Gaier, Giuseppe Paolo, Antoine Cully
2023 J jnl
Language Model Crossover: Variation through Few-Shot Prompting.
CoRR
Elliot Meyerson, Mark J. Nelson, Herbie Bradley, Adam Gaier, Arash Moradi Karkaj, Amy K. Hoover, Joel Lehman
2023 J jnl
PlotMap: Automated Layout Design for Building Game Worlds.
CoRR
Yi Wang, Jieliang Luo, Adam Gaier, Evan Atherton, Hilmar Koch
2022 — conf
A discretization-free metric for assessing quality diversity algorithms.
GECCO Companion
Paul Kent, Jürgen Branke, Adam Gaier, Jean-Baptiste Mouret
2022 J jnl
COIL: Constrained Optimization in Learned Latent Space - Learning Representations for Valid Solutions.
CoRR
Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran
2022 — conf
COIL: Constrained optimization in learned latent space: learning representations for valid solutions.
GECCO Companion
Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran
2022 — conf
Evolving Through the Looking Glass: Learning Improved Search Spaces with Variational Autoencoders.
PPSN (1)
Peter J. Bentley, Soo Ling Lim, Adam Gaier, Linh Tran
2022 — conf
T-DominO - Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective.
PPSN (2)
Adam Gaier, James Stoddart, Lorenzo Villaggi, Peter J. Bentley
2022 J jnl
T-DominO: Exploring Multiple Criteria with Quality-Diversity and the Tournament Dominance Objective.
CoRR
Adam Gaier, James Stoddart, Lorenzo Villaggi, Peter J. Bentley
2020 — —
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).
Adam Gaier
2020 J jnl
Automating Representation Discovery with MAP-Elites.
CoRR
Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
2020 A conf
Discovering representations for black-box optimization.
GECCO
Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
2019 — conf
Are quality diversity algorithms better at generating stepping stones than objective-based search?
GECCO (Companion)
Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
2019 — conf
Prediction of neural network performance by phenotypic modeling.
GECCO (Companion)
Alexander Hagg, Martin Zaefferer, Jörg Stork, Adam Gaier
2019 J jnl
Prediction of neural network performance by phenotypic modeling.
CoRR
Alexander Hagg, Martin Zaefferer, Jörg Stork, Adam Gaier
2019 A* conf
Weight Agnostic Neural Networks.
NeurIPS
Adam Gaier, David Ha
2019 J jnl
Weight Agnostic Neural Networks.
CoRR
Adam Gaier, David Ha
2018 J jnl
Data-Efficient Design Exploration through Surrogate-Assisted Illumination.
CoRR
Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
2018 J jnl
Data-Efficient Design Exploration through Surrogate-Assisted Illumination.
Evol. Comput.
Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
2018 J jnl
Data-efficient Neuroevolution with Kernel-Based Surrogate Models.
CoRR
Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
2018 A conf
Data-efficient neuroevolution with kernel-based surrogate models.
GECCO
Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
2017 A conf
Data-efficient exploration, optimization, and modeling of diverse designs through surrogate-assisted illumination.
GECCO
Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
2017 J jnl
Feature Space Modeling Through Surrogate Illumination.
CoRR
Adam Gaier, Alexander Asteroth, Jean-Baptiste Mouret
2017 J jnl
Multi-stage evolution of single- and multi-objective MCLP - Successive placement of charging stations.
Soft Comput.
Helge Spieker, Alexander Hagg, Adam Gaier, Stefanie Meilinger, Alexander Asteroth
2015 — conf
Evolutionary Design via Indirect Encoding of Non-Uniform Rational Basis Splines.
GECCO (Companion)
Adam Gaier
2014 B conf
Evolution of optimal control for energy-efficient transport.
Intelligent Vehicles Symposium
Adam Gaier, Alexander Asteroth
2014 C conf
Evolving look ahead controllers for energy optimal driving and path planning.
INISTA
Adam Gaier, Alexander Asteroth