| Evolving deep neural networks R Miikkulainen, J Liang, E Meyerson, A Rawal, D Fink, O Francon, B Raju, ... Artificial intelligence in the age of neural networks and brain computing …, 2024 | 1345 | 2024 |
| Evolutionary neural automl for deep learning J Liang, E Meyerson, B Hodjat, D Fink, K Mutch, R Miikkulainen Proceedings of the genetic and evolutionary computation conference, 401-409, 2019 | 154 | 2019 |
| Evolutionary architecture search for deep multitask networks J Liang, E Meyerson, R Miikkulainen Proceedings of the genetic and evolutionary computation conference, 466-473, 2018 | 152 | 2018 |
| Beyond shared hierarchies: Deep multitask learning through soft layer ordering E Meyerson, R Miikkulainen International Conference on Learning Representations, 2018 | 136 | 2018 |
| Frame skip is a powerful parameter for learning to play atari A Braylan, M Hollenbeck, E Meyerson, R Miikkulainen Space 1600, 1800, 2000 | 106 | 2000 |
| Language model crossover: Variation through few-shot prompting E Meyerson, MJ Nelson, H Bradley, A Gaier, A Moradi, AK Hoover, ... ACM Transactions on Evolutionary Learning 4 (4), 1-40, 2024 | 73 | 2024 |
| Quantifying point-prediction uncertainty in neural networks via residual estimation with an i/o kernel X Qiu, E Meyerson, R Miikkulainen arXiv preprint arXiv:1906.00588, 2019 | 73 | 2019 |
| Pseudo-task augmentation: From deep multitask learning to intratask sharing—and back E Meyerson, R Miikkulainen International Conference on Machine Learning, 3511-3520, 2018 | 64 | 2018 |
| Learning behavior characterizations for novelty search E Meyerson, J Lehman, R Miikkulainen Proceedings of the Genetic and Evolutionary Computation Conference 2016, 149-156, 2016 | 57 | 2016 |
| DMVP: foremost waypoint coverage of time-varying graphs E Aaron, D Krizanc, E Meyerson International Workshop on Graph-Theoretic Concepts in Computer Science, 29-41, 2014 | 52 | 2014 |
| From prediction to prescription: evolutionary optimization of nonpharmaceutical interventions in the COVID-19 pandemic R Miikkulainen, O Francon, E Meyerson, X Qiu, D Sargent, E Canzani, ... IEEE Transactions on Evolutionary Computation 25 (2), 386-401, 2021 | 51 | 2021 |
| Flavor-cyber-agriculture: Optimization of plant metabolites in an open-source control environment through surrogate modeling AJ Johnson, E Meyerson, J de la Parra, TL Savas, R Miikkulainen, ... PLoS One 14 (4), e0213918, 2019 | 51 | 2019 |
| Modular universal reparameterization: Deep multi-task learning across diverse domains E Meyerson, R Miikkulainen Advances in Neural Information Processing Systems 32, 2019 | 35 | 2019 |
| Reuse of neural modules for general video game playing A Braylan, M Hollenbeck, E Meyerson, R Miikkulainen Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016 | 31 | 2016 |
| Effective reinforcement learning through evolutionary surrogate-assisted prescription O Francon, S Gonzalez, B Hodjat, E Meyerson, R Miikkulainen, X Qiu, ... Proceedings of the 2020 Genetic and evolutionary computation conference, 814-822, 2020 | 23 | 2020 |
| Evolving deep neural networks. 2017 R Miikkulainen, J Liang, E Meyerson, A Rawal, D Fink, O Francon, B Raju, ... arXiv preprint arXiv:1703.00548, 2017 | 22 | 2017 |
| Discovering evolutionary stepping stones through behavior domination E Meyerson, R Miikkulainen Proceedings of the Genetic and Evolutionary Computation Conference, 139-146, 2017 | 20 | 2017 |
| The traveling observer model: Multi-task learning through spatial variable embeddings E Meyerson, R Miikkulainen International Conference on Learning Representations, 2021 | 15 | 2021 |
| Evolving deep neural networks. CoRR abs/1703.00548 (2017) R Miikkulainen, JZ Liang, E Meyerson, A Rawal, D Fink, O Francon, ... arXiv preprint arXiv:1703.00548, 2017 | 13 | 2017 |
| Evolutionary architectures for evolution of deep neural networks JZ Liang, E Meyerson, R Miikkulainen US Patent 11,003,994, 2021 | 12 | 2021 |
Risto MiikkulainenProfessor of Computer Science, the University of Texas at AustinZweryfikowany adres z cs.utexas.edu