| 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 | 560 | 2023 |
| 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 | 18 | 2024 |
| System, apparatus and method for prefetch-aware replacement in a cache memory hierarchy of a processor J Gaur, S Subramoney, S Ganapathy US Patent 10,268,600, 2019 | 17 | 2019 |
| Quantifying the sustainability impact of Google Maps: A case study of Salt Lake City N Arora, T Cabannes, S Ganapathy, Y Li, P McAfee, M Nunkesser, ... arXiv preprint arXiv:2111.03426, 2021 | 10 | 2021 |
| An efficient simulation-based travel demand calibration algorithm for large-scale metropolitan traffic models N Arora, Y Chen, S Ganapathy, Y Li, Z Lin, C Osorio, A Tomkins, ... arXiv preprint arXiv:2109.11392, 2021 | 9 | 2021 |
| DyVEDeep Dynamic Variable Effort Deep Neural Networks S Ganapathy, S Venkataramani, G Sriraman, B Ravindran, ... ACM Transactions on Embedded Computing Systems (TECS) 19 (3), 1-24, 2020 | 6 | 2020 |
| An adversarial variational inference approach for travel demand calibration of urban traffic simulators M Mladenov, SG Subramaniam, C Hsu, N Arora, A Tomkins, C Boutilier, ... Proceedings of the 30th International Conference on Advances in Geographic …, 2022 | 1 | 2022 |
| An Efficient Simulation-Based Travel Demand Calibration Algorithm for Large-Scale Metropolitan Traffic Models A Tomkins, C Osorio, I Tsogsuren, N Arora, SG Subramaniam, Y Li, ... | | 2021 |
Carolina OsorioScale AI Chair, Professor, HEC Montreal / Staff Research Scientist, Google ResearchVerified email at hec.ca
