Adam Gaier - RankMe

35 papers A* 1A 4B 1C 2Journal 19Unranked 7

Year	Rank	Type	Title / 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