| Weight Agnostic Neural Networks A Gaier, D Ha (NeurIPS) Advances in Neural Information Processing Systems 32, 2019 | 312 | 2019 |
| Data-efficient design exploration through surrogate-assisted illumination A Gaier, A Asteroth, JB Mouret (ECJ) Evolutionary Computation 26 (3), 381-410, 2018 | 79 | 2018 |
| Discovering Representations for Black-box Optimization A Gaier, A Asteroth, JB Mouret (GECCO) Proceedings of the Genetic and Evolutionary Computation Conference, 2020 | 59* | 2020 |
| 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 | 54 | 2017 |
| Language Model Crossover: Variation through Few-Shot Prompting E Meyerson, MJ Nelson, H Bradley, A Gaier, A Moradi, AK Hoover, ... arXiv preprint arXiv:2302.12170, 2023 | 32 | 2023 |
| Aerodynamic design exploration through surrogate-assisted illumination A Gaier, A Asteroth, JB Mouret (AIAA) 18th AIAA/ISSMO Multidisciplinary Analysis and Optimization …, 2017 | 31 | 2017 |
| 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 | 28 | 2019 |
| Data-Efficient Neuroevolution with Kernel-Based Surrogate Models 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 | 8 | 2014 |
| 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 | 7 | 2022 |
| 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 | 7 | 2019 |
| 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 | 6 | 2022 |
| Bayesian optimisation for quality diversity search with coupled descriptor functions P Kent, A Gaier, JB Mouret, J Branke (TEC) IEEE Transactions on Evolutionary Computation, 2024 | 4* | 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 | 4 | 2023 |
| 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 | 4 | 2014 |
| 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 | 3 | 2022 |
| Accelerating Evolutionary Design Exploration with Predictive and Generative Models A Gaier (PhD Dissertation) Inria / Université de Lorraine, 2020 | 2 | 2020 |
| Evolutionary Design via Indirect Encoding of Non-Uniform Rational Basis Splines A Gaier (GECCO) Proceedings of the Genetic and Evolutionary Computation Conference, 2015 | 1 | 2015 |
| Generative Design through Quality-Diversity Data Synthesis and Language Models A Gaier, J Stoddart, L Villaggi, S Sudhakaran (GECCO) arXiv preprint arXiv:2405.09997, 2024 | | 2024 |
Alexander AsterothProfessor of Computer Science, Bonn-Rhein-Sieg University of Applied Sciences在 h-brs.de 的电子邮件经过验证
