| Gemini: a family of highly capable multimodal models G Team, R Anil, S Borgeaud, JB Alayrac, J Yu, R Soricut, J Schalkwyk, ... arXiv preprint arXiv:2312.11805, 2023 | 7011 | 2023 |
| Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context G Team, P Georgiev, VI Lei, R Burnell, L Bai, A Gulati, G Tanzer, ... arXiv preprint arXiv:2403.05530, 2024 | 3454 | 2024 |
| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1374 | 2025 |
| Deep voice 3: 2000-speaker neural text-to-speech W Ping, K Peng, A Gibiansky, SO Arik, A Kannan, S Narang, J Raiman, ... proc. ICLR, 214-217, 2018 | 1013* | 2018 |
| Deep speaker: an end-to-end neural speaker embedding system C Li, X Ma, B Jiang, X Li, X Zhang, X Liu, Y Cao, A Kannan, Z Zhu arXiv preprint arXiv:1705.02304, 2017 | 641 | 2017 |
| Machine learning enables detection of early-stage colorectal cancer by whole-genome sequencing of plasma cell-free DNA N Wan, D Weinberg, TY Liu, K Niehaus, EA Ariazi, D Delubac, A Kannan, ... BMC cancer 19 (1), 832, 2019 | 212 | 2019 |
| Systems and methods for neural text-to-speech using convolutional sequence learning P Wei, P Kainan US Patent 10,796,686, 2020 | 56 | 2020 |
| Machine learning implementation for multi-analyte assay development and testing A Drake, D Delubac, K Niehaus, E Ariazi, I Haque, TY Liu, N Wan, ... US Patent 11,681,953, 2023 | 55 | 2023 |
| Quantitative criticism of literary relationships JP Dexter, T Katz, N Tripuraneni, T Dasgupta, A Kannan, JA Brofos, ... Proceedings of the National Academy of Sciences 114 (16), E3195-E3204, 2017 | 40 | 2017 |
| Flint: A platform for federated learning integration E Wang, B Chen, M Chowdhury, A Kannan, F Liang Proceedings of Machine Learning and Systems 5, 21-34, 2023 | 34 | 2023 |
| Systems and methods for principled bias reduction in production speech models E Battenberg, R CHILD, A Coates, C Fougner, Y GAUR, J Huang, H JUN, ... US Patent 10,657,955, 2020 | 19 | 2020 |
| Actin–myosin network influences morphological response of neuronal cells to altered osmolarity BG Bober, JM Love, SM Horton, M Sitnova, S Shahamatdar, A Kannan, ... Cytoskeleton 72 (4), 193-206, 2015 | 12 | 2015 |
| Reducing bias in production speech models E Battenberg, R Child, A Coates, C Fougner, Y Gaur, J Huang, H Jun, ... arXiv preprint arXiv:1705.04400, 2017 | 10* | 2017 |
| Metric cells: Towards complete search for optimal trajectories D Balkcom, A Kannan, YH Lyu, W Wang, Y Zhang 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 9 | 2015 |
| Early stage colorectal cancer detection using artificial intelligence and whole-genome sequencing of cell-free DNA in a retrospective cohort of 1,040 patients: 307 K Niehous, N Wan, B White, A Kannan, E Gafni, TY Liu, I Haque, G Putcha Official journal of the American College of Gastroenterology| ACG 113, S169, 2018 | 8 | 2018 |
| Bridging the generalization gap: Training robust models on confounded biological data TY Liu, A Kannan, A Drake, M Bertin, N Wan arXiv preprint arXiv:1812.04778, 2018 | 3 | 2018 |
| Predicting gene expression from plasma cell-free DNA using both the fragment length and fragment position J St John, E Gafni, B White, A Kannan, L Hansen, A Jaroszewicz, ... Cancer Research 79 (13), 2019 | 1 | 2019 |
| Machine learning implementation for multi-analyte assay development and testing A Drake, D Delubac, K Niehaus, E Ariazi, I Haque, TY Liu, N Wan, ... US Patent App. 18/518,274, 2024 | | 2024 |
| Rosaic: A Structure-Driven Mosaic Vaccine Design Algorithm R Leong, A Kannan | | 2015 |
| Cell Representations of the Configuration Space for Planning Optimal Paths A Kannan | | 2015 |
