| 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 650, 2017 | 275 | 2017 |
| Deep voice 3: Scaling text-to-speech with convolutional sequence learning W Ping, K Peng, A Gibiansky, SO Arik, A Kannan, S Narang, J Raiman, ... arXiv preprint arXiv:1710.07654, 2017 | 208 | 2017 |
| 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 | 143 | 2018 |
| 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), 1-10, 2019 | 27 | 2019 |
| 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 | 14 | 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 | 8 | 2015 |
| 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 | 7 | 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 | 6 | 2017 |
| Deep speaker: An end-to-end neural speaker embedding system. arXiv 2017 C Li, X Ma, B Jiang, X Li, X Zhang, X Liu, Y Cao, A Kannan, Z Zhu arXiv preprint arXiv:1705.02304, 0 | 6 | |
| Systems and methods for principled bias reduction in production speech models E Battenberg, R Child, A Coates, C Fougner, J Huang, JUN Heewoo, ... US Patent 10,657,955, 2020 | 5 | 2020 |
| 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 | 3 | 2018 |
| Systems and methods for neural text-to-speech using convolutional sequence learning P Wei, P Kainan, S NARANG, A KANNAN, A GIBIANSKY, J RAIMAN, ... US Patent 10,796,686, 2020 | 2 | 2020 |
| Su1658–Machine Learning Enables Detection of Early-Stage Colorectal Cancer by Whole-Genome Sequencing of Plasma Cell-Free Dna N Wan, D Weinberg, T Liu, K Niehaus, D Delubac, A Kannan, B White, ... Gastroenterology 156 (6), S-600-S-601, 2019 | 1 | 2019 |
| Predicting gene expression from plasma cell-free DNA using both the fragment length and fragment position JA St John, E Gafni, B White, A Kannan, L Hansen, A Jaroszewicz, ... Cancer Research 79 (13 Supplement), 4349-4349, 2019 | | 2019 |
| Machine learning enables detection of early-stage colorectal cancer by whole-genome N Wan, D Weinberg, T Liu, K Niehaus, E Ariazi, D Delubac, A Kannan, ... | | 2019 |
| 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 | | 2018 |
| Cell Representations of the Configuration Space for Planning Optimal Paths A Kannan | | 2015 |
