Ajay Kannan
Ajay Kannan
Verified email at google.com
Title
Cited by
Cited by
Year
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
2752017
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
2082017
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
1432018
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
272019
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
142017
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
82015
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
72015
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
62017
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
52020
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
32018
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
22020
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
12019
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
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