Sercan O. Arik
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Cited by
Deep Voice: Real-time neural text-to-speech
SO Arik, M Chrzanowski, A Coates, G Diamos, A Gibiansky, Y Kang, X Li, ...
International Conference on Machine Learning (ICML) 2017, 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, ...
International Conference on Learning Representations (ICLR) 2018, 2018
Deep Voice 2: Multi-speaker neural text-to-speech
SO Arik, G Diamos, A Gibiansky, J Miller, K Peng, W Ping, J Raiman, ...
Neural Information Processing Systems (NeurIPS) 2017, 2017
Neural voice cloning with a few samples
SO Arik, J Chen, K Peng, W Ping, Y Zhou
Neural Information Processing Systems (NeurIPS) 2018, 2018
Effect of mode coupling on signal processing complexity in mode-division multiplexing
SÍ Arik, D Askarov, JM Kahn
Journal of Lightwave Technology 31 (3), 423-431, 2012
MIMO signal processing for mode-division multiplexing
SO Arik, J Kahn, K Ho
IEEE Signal Processing Magazine 31 (2), 25-34, 2014
High-dimensional modulation for coherent optical communications systems
DS Millar, T Koike-Akino, SÍ Arık, K Kojima, K Parsons, T Yoshida, ...
Optics express 22 (7), 8798-8812, 2014
Convolutional recurrent neural networks for small-footprint keyword spotting
SO Arik, M Kliegl, R Child, J Hestness, A Gibiansky, C Fougner, ...
Interspeech 2017, 2017
Adaptive frequency-domain equalization in mode-division multiplexing systems
SO Arik, D Askarov, JM Kahn
Journal of Lightwave Technology 10 (32), 1841-1852, 2014
Fully automated quantitative cephalometry using convolutional neural networks
SÍ Arik, B Ibragimov, L Xing
Journal of Medical Imaging 4 (1), 014501, 2017
TabNet: Attentive interpretable tabular learning
SO Arik, T Pfister
AAAI Conference on Artificial Intelligence (AAAI), 2021
Temporal fusion transformers for interpretable multi-horizon time series forecasting
B Lim, SO Arik, N Loeff, T Pfister
International Journal of Forecasting, 2021
Fast spectrogram inversion using multi-head convolutional neural networks
SO Arik, H Jun, G Diamos
IEEE Signal Processing Letters, 2018
Coupled-core multi-core fibers for spatial multiplexing
SÍ Arik, JM Kahn
IEEE Photonics Technology Letters 25 (21), 2054 - 2057, 2013
Group delay management and multi-input multi-output signal processing in mode-division multiplexing systems
SO Arik, KP Ho, J Kahn
Journal of Lightwave Technology, 2015
On completeness-aware concept-based explanations in deep neural networks
CK Yeh, B Kim, SO Arik, CL Li, T Pfister, P Ravikumar
Neural Information Processing Systems (NeurIPS) 2020, 2020
Distilling effective supervision from severe label noise
Z Zhang, H Zhang, SO Arik, H Lee, T Pfister
Conference on Computer Vision and Pattern Recognition (CVPR) 2020, 2020
Resource-efficient neural architect
Y Zhou, S Ebrahimi, SÍ Arık, H Yu, H Liu, G Diamos
arXiv preprint arXiv:1806.07912, 2018
Optical network scaling: Roles of spectral and spatial aggregation
SÍ Arık, KP Ho, JM Kahn
Optics express 22 (24), 29868-29887, 2014
Delay spread reduction in mode-division multiplexing: mode coupling vs. delay compensation
SO Arik, KP Ho, J Kahn
Journal of Lightwave Technology 33 (21), 4504 - 4512, 2015
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