| Open x-embodiment: Robotic learning datasets and rt-x models A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ... arXiv preprint arXiv:2310.08864, 2023 | 299* | 2023 |
| Neuroevolution of self-interpretable agents Y Tang, D Nguyen, D Ha Proceedings of the 2020 Genetic and Evolutionary Computation Conference, 414-424, 2020 | 137 | 2020 |
| Collective intelligence for deep learning: A survey of recent developments D Ha, Y Tang Collective Intelligence 1 (1), 26339137221114874, 2022 | 85 | 2022 |
| The sensory neuron as a transformer: Permutation-invariant neural networks for reinforcement learning Y Tang, D Ha Advances in Neural Information Processing Systems 34, 22574-22587, 2021 | 79 | 2021 |
| Sequence-to-sequence model with attention for time series classification Y Tang, J Xu, K Matsumoto, C Ono 2016 IEEE 16th International Conference on Data Mining Workshops (ICDMW …, 2016 | 62 | 2016 |
| Evolutionary optimization of model merging recipes T Akiba, M Shing, Y Tang, Q Sun, D Ha arXiv preprint arXiv:2403.13187, 2024 | 54 | 2024 |
| Evojax: Hardware-accelerated neuroevolution Y Tang, Y Tian, D Ha Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2022 | 46 | 2022 |
| Saytap: Language to quadrupedal locomotion Y Tang, W Yu, J Tan, H Zen, A Faust, T Harada Conference on Robot Learning, 2023 | 41* | 2023 |
| Evolving modular soft robots without explicit inter-module communication using local self-attention F Pigozzi, Y Tang, E Medvet, D Ha Proceedings of the Genetic and Evolutionary Computation Conference, 148-157, 2022 | 30 | 2022 |
| User authentication on smart phones using a data mining method Y Tang, N Hidenori, Y Urano 2010 International Conference on Information Society, 173-178, 2010 | 22 | 2010 |
| Large language models as evolution strategies R Lange, Y Tian, Y Tang Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024 | 20 | 2024 |
| Learning agile locomotion via adversarial training Y Tang, J Tan, T Harada 2020 IEEE/RSJ International Conference On Intelligent Robots And Systems …, 2020 | 15 | 2020 |
| Learning to generalize with object-centric agents in the open world survival game crafter A Stanić, Y Tang, D Ha, J Schmidhuber IEEE Transactions on Games, 2023 | 13 | 2023 |
| Detecting activities of daily living from low frequency power consumption data Y Tang, C Ono Proceedings of the 13th International Conference on Mobile and Ubiquitous …, 2016 | 9 | 2016 |
| Neuroevobench: Benchmarking evolutionary optimizers for deep learning applications R Lange, Y Tang, Y Tian Advances in Neural Information Processing Systems 36, 32160-32172, 2023 | 6 | 2023 |
| Effects of objective feedback of facial expression recognition during video support chat J Wu, T Hagiya, Y Tang, K Hoashi Proceedings of the 16th International Conference on Mobile and Ubiquitous …, 2017 | 6 | 2017 |
| Evolution transformer: In-context evolutionary optimization R Lange, Y Tian, Y Tang Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2024 | 5 | 2024 |
| Position Paper: Leveraging Foundational Models for Black-Box Optimization: Benefits, Challenges, and Future Directions X Song, Y Tian, RT Lange, C Lee, Y Tang, Y Chen arXiv preprint arXiv:2405.03547, 2024 | 4 | 2024 |
| Collective intelligence for 2d push manipulations with mobile robots S Kuroki, T Matsushima, J Arima, H Furuta, Y Matsuo, SS Gu, Y Tang IEEE Robotics and Automation Letters 8 (5), 2820-2827, 2023 | 4 | 2023 |
| DEIR: efficient and robust exploration through discriminative-model-based episodic intrinsic rewards S Wan, Y Tang, Y Tian, T Kaneko arXiv preprint arXiv:2304.10770, 2023 | 3 | 2023 |
David HaSakana AIVerified email at sakana.ai
