| Evolutionary optimization of deep learning activation functions G Bingham, W Macke, R Miikkulainen Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 289-296, 2020 | 57 | 2020 |
| Discovering parametric activation functions G Bingham, R Miikkulainen Neural Networks 148, 48-65, 2022 | 48 | 2022 |
| Improving Low-Resource Cross-lingual Document Retrieval by Reranking with Deep Bilingual Representations R Zhang, C Westerfield, S Shim, G Bingham, A Fabbri, N Verma, W Hu, ... arXiv preprint arXiv:1906.03492, 2019 | 28 | 2019 |
| Preliminary Studies on a Large Face Database B Yip, G Bingham, K Kempfert, J Fabish, T Kling, C Chen, Y Wang 2018 IEEE International Conference on Big Data (Big Data), 2572-2579, 2018 | 7* | 2018 |
| MORPH-II: Inconsistencies and Cleaning G Bingham, B Yip, M Ferguson, C Nansalo University of North Carolina Wilmington NSF REU, 2017 | 6 | 2017 |
| Autoinit: Analytic signal-preserving weight initialization for neural networks G Bingham, R Miikkulainen Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6823-6833, 2023 | 3 | 2023 |
| Random Subspace Two-dimensional LDA for Face Recognition G Bingham arXiv preprint arXiv:1711.00575, 2017 | 3 | 2017 |
| System and Method For Generating Parametric Activation Functions G Bingham, R Miikkulainen US Patent App. 17/399,470, 2022 | 2 | 2022 |
| Optimizing Neural Networks through Activation Function Discovery and Automatic Weight Initialization G Bingham arXiv preprint arXiv:2304.03374, 2023 | 1 | 2023 |
| SYSTEM AND METHOD FOR EVALUATING WEIGHT INITIALIZATION FOR NEURAL NETWORK MODELS G Bingham, R Miikkulainen US Patent App. 17/855,955, 2023 | 1 | 2023 |
| Efficient Activation Function Optimization through Surrogate Modeling G Bingham, R Miikkulainen Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
Risto MiikkulainenProfessor of Computer Science, the University of Texas at AustinVerified email at cs.utexas.edu
