Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, Y Wu, JB Alayrac, J Yu, R Soricut, ... arXiv preprint arXiv:2312.11805, 2023 | 520 | 2023 |
Predicting human olfactory perception from chemical features of odor molecules A Keller, RC Gerkin, Y Guan, A Dhurandhar, G Turu, B Szalai, ... Science 355 (6327), 820-826, 2017 | 273 | 2017 |
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context M Reid, N Savinov, D Teplyashin, D Lepikhin, T Lillicrap, J Alayrac, ... arXiv preprint arXiv:2403.05530, 2024 | 13 | 2024 |
Arms: Antithetic-reinforce-multi-sample gradient for binary variables A Dimitriev, M Zhou International Conference on Machine Learning, 2717-2727, 2021 | 13 | 2021 |
Carms: Categorical-antithetic-reinforce multi-sample gradient estimator A Dimitriev, M Zhou Advances in Neural Information Processing Systems 34, 13217-13229, 2021 | 9 | 2021 |
Gradient estimation for discrete variables via dependent Monte Carlo samples A Dimitriev University of Texas at Austin, 2022 | | 2022 |