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Adam Gaier
Adam Gaier
Autodesk Research
Bestätigte E-Mail-Adresse bei autodesk.com
Titel
Zitiert von
Zitiert von
Jahr
Weight Agnostic Neural Networks (WANN)
A Gaier, D Ha
(NeurIPS) Advances in Neural Information Processing Systems 32, 2019
3182019
Surrogate Assisted Illumniation (SAIL)
A Gaier, A Asteroth, JB Mouret
(ECJ, GECCO, AIAA) -- Incorrect merge of several publications by google scholar, 2017
137*2017
Discovering Representations for Black-box Optimization (DDE)
A Gaier, A Asteroth, JB Mouret
(GECCO) Proceedings of the Genetic and Evolutionary Computation Conference, 2020
60*2020
Language Model Crossover: Variation through Few-Shot Prompting (LMX)
E Meyerson, MJ Nelson, H Bradley, A Gaier, A Moradi, AK Hoover, ...
arXiv preprint arXiv:2302.12170, 2023
382023
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
312019
Data-Efficient Neuroevolution with Kernel-Based Surrogate Models (SA-NEAT)
A Gaier, A Asteroth, JB Mouret
(GECCO) Proceedings of the Genetic and Evolutionary Computation Conference, 2018
20*2018
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
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
72019
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
Bayesian optimisation for quality diversity search with coupled descriptor functions (BOP-Elites)
P Kent, A Gaier, JB Mouret, J Branke
(TEC) IEEE Transactions on Evolutionary Computation, 2024
5*2024
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
42023
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
42022
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
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
Generative Design through Quality-Diversity Data Synthesis and Language Models (TileGPT)
A Gaier, J Stoddart, L Villaggi, S Sudhakaran
(GECCO) arXiv preprint arXiv:2405.09997, 2024
2024
PlotMap: Automated Layout Design for Building Game Worlds
Y Wang, J Luo, A Gaier, E Atherton, H Koch
(COG) arXiv preprint arXiv:2309.15242, 2023
2023
Editorial to the “Evolutionary Reinforcement Learning” Special Issue
A Gaier, G Paolo, A Cully
(TELO) ACM Transactions on Evolutionary Learning 3 (3), 1-2, 2023
2023
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