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Adam Gaier
Adam Gaier
Autodesk AI Lab, Autodesk
Bestätigte E-Mail-Adresse bei autodesk.com
Titel
Zitiert von
Zitiert von
Jahr
Weight Agnostic Neural Networks
A Gaier, D Ha
(NeurIPS) Advances in Neural Information Processing Systems 32, 2019
2132019
Data-efficient design exploration through surrogate-assisted illumination
A Gaier, A Asteroth, JB Mouret
(ECJ) Evolutionary Computation 26 (3), 381-410, 2018
442018
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
422017
Discovering Representations for Black-box Optimization
A Gaier, A Asteroth, JB Mouret
(GECCO) Proceedings of the Genetic and Evolutionary Computation Conference, 2020
32*2020
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
Aerodynamic design exploration through surrogate-assisted illumination
A Gaier, A Asteroth, JB Mouret
(AIAA) 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization …, 2017
192017
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
132019
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
102017
Evolution of optimal control for energy-efficient transport
A Gaier, A Asteroth
(IV) 2014 IEEE Intelligent Vehicles Symposium Proceedings, 1121-1126, 2014
62014
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
52019
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
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
22022
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
1*2022
Evolutionary Design via Indirect Encoding of Non-Uniform Rational Basis Splines
A Gaier
(GECCO) Proceedings of the Genetic and Evolutionary Computation Conference, 2015
12015
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
2023
A discretization-free metric for assessing quality diversity algorithms
P Kent, J Branke, A Gaier, JB Mouret
(GECCO) Proceedings of the Genetic and Evolutionary Computation Conference …, 2022
2022
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
2022
Accelerating Evolutionary Design Exploration with Predictive and Generative Models
A Gaier
(PhD Dissertation) Université de Lorraine, 2020
2020
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