Sercan O. Arik
Cited by
Cited by
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
B Lim, SO Arik, N Loeff, T Pfister
International Journal of Forecasting, 2021
TabNet: Attentive Interpretable Tabular Learning
SO Arik, T Pfister
AAAI Conference on Artificial Intelligence (AAAI), 2021
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
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
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
Neural Voice Cloning with a Few Samples
SO Arik, J Chen, K Peng, W Ping, Y Zhou
Neural Information Processing Systems (NeurIPS), 2018
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
Evaluation of Individual and Ensemble Probabilistic Forecasts of COVID-19 Mortality in the United States
EY Cramer, EL Ray, VK Lopez, J Bracher, A Brennen, ...
Proceedings of the National Academy of Sciences 119 (15), e2113561119, 2022
Fully Automated Quantitative Cephalometry Using Convolutional Neural Networks
SÍ Arık, B Ibragimov, L Xing
Journal of Medical Imaging 4 (1), 014501-014501, 2017
Consistency-based Semi-Supervised Active Learning: Towards Minimizing Labeling Cost
M Gao, Z Zhang, G Yu, SO Arik, LS Davis, T Pfister
European Conference on Computer Vision (ECCV), 2020
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting
SO Arik, M Kliegl, R Child, J Hestness, A Gibiansky, C Fougner, ...
Interspeech, 2017
Data Valuation using Reinforcement Learning
J Yoon, SO Arik, T Pfister
International Conference on Machine Learning (ICML), 2020
Effect of Mode Coupling on Signal Processing Complexity in Mode-Division Multiplexing
SÍ Arık, D Askarov, JM Kahn
Journal of Lightwave Technology 31 (3), 423-431, 2013
MIMO Signal Processing for Mode-Division Multiplexing
SO Arik, J Kahn, K Ho
IEEE Signal Processing Magazine 31 (2), 25-34, 2014
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
Nested Hierarchical Transformer: Towards Accurate, Data-Efficient and Interpretable Visual Understanding
Z Zhang, H Zhang, L Zhao, T Chen, SO Arik, T Pfister
AAAI Conference on Artificial Intelligence (AAAI), 2022
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
Fast Spectrogram Inversion using Multi-Head Convolutional Neural Networks
SO Arik, H Jun, G Diamos
IEEE Signal Processing Letters, 2018
Adaptive Frequency-Domain Equalization in Mode-Division Multiplexing Systems
SÍ Arık, D Askarov, JM Kahn
Journal of Lightwave Technology 32 (10), 1841-1852, 2014
Interpretable Sequence Learning for COVID-19 Forecasting
SO Arik, CL Li, J Yoon, R Sinha, A Epshteyn, LT Le, V Menon, S Singh, ...
Neural Information Processing Systems (NeurIPS), 2020
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