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Mike Chrzanowski
Mike Chrzanowski
Research Scientist, NVIDIA
Verified email at alumni.stanford.edu
Title
Cited by
Cited by
Year
Deep speech 2: End-to-end speech recognition in english and mandarin
D Amodei, S Ananthanarayanan, R Anubhai, J Bai, E Battenberg, C Case, ...
International Conference on Machine Learning, 173-182, 2016
35862016
Deep voice: Real-time neural text-to-speech
SO Arik, M Chrzanowski, A Coates, G Diamos, A Gibiansky, Y Kang, X Li, ...
arXiv preprint arXiv:1702.07825, 2017
778*2017
Relational recurrent neural networks
A Santoro, R Faulkner, D Raposo, J Rae, M Chrzanowski, T Weber, ...
Advances in neural information processing systems 31, 2018
2562018
Towards interpretable reinforcement learning using attention augmented agents
A Mott, D Zoran, M Chrzanowski, D Wierstra, D Jimenez Rezende
Advances in neural information processing systems 32, 2019
1962019
Learning and evaluating general linguistic intelligence
D Yogatama, CM d'Autume, J Connor, T Kocisky, M Chrzanowski, L Kong, ...
arXiv preprint arXiv:1901.11373, 2019
186*2019
Deployed end-to-end speech recognition
B Catanzaro, J Chen, M Chrzanowski, E Elsen, J Engel, C Fougner, ...
US Patent 10,319,374, 2019
1202019
Persistent rnns: Stashing recurrent weights on-chip
G Diamos, S Sengupta, B Catanzaro, M Chrzanowski, A Coates, E Elsen, ...
International Conference on Machine Learning, 2024-2033, 2016
1142016
Non-attentive tacotron: Robust and controllable neural tts synthesis including unsupervised duration modeling
J Shen, Y Jia, M Chrzanowski, Y Zhang, I Elias, H Zen, Y Wu
arXiv preprint arXiv:2010.04301, 2020
102*2020
End-to-end speech recognition
B Catanzaro, J Chen, M Chrzanowski, E Elsen, J Engel, C Fougner, ...
US Patent 10,332,509, 2019
892019
Towards robust image classification using sequential attention models
D Zoran, M Chrzanowski, PS Huang, S Gowal, A Mott, P Kohli
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
732020
Using Twitter to predict voting behavior
M Chrzanowski, D Levick
Erişim adresi: http://cs229. stanford. edu/proj2012/ChrzanowskiLevick …, 2012
92012
Neural networks with relational memory
M Chrzanowski, JW Rae, R Faulkner, TG Weber, DN Raposo, AA Santoro
US Patent 10,853,725, 2020
72020
Systems and methods for real-time neural text-to-speech
M Chrzanowski, A Coates, G DIAMOS, A GIBIANSKY, J Miller, A Ng, ...
US Patent 10,872,598, 2020
52020
S3ta: A soft, spatial, sequential, top-down attention model
A Mott, D Zoran, M Chrzanowski, D Wierstra, DJ Rezende
32018
Finding the right recipe for low resource domain adaptation in neural machine translation
V Adams, S Subramanian, M Chrzanowski, O Hrinchuk, O Kuchaiev
arXiv preprint arXiv:2206.01137, 2022
12022
Text-to-speech using duration prediction
Y Zhang, I Elias, B Chun, Y Jia, Y Wu, M Chrzanowski, J Shen
US Patent App. 17/492,543, 2022
12022
Real-time neural text-to-speech
M Chrzanowski, A Coates, G DIAMOS, A GIBIANSKY, J Miller, A Ng, ...
US Patent 11,705,107, 2023
2023
Writing a Faster, Cleaner Elastic Net Solver
M Chrzanowski
2014
Predicting Influenza Propagation using Network Inference and Machine Learning
M Chrzanowski, J Ku, FW Pong
hospital 2010, 2009
2009
Facial Verification using Fisher Vectors and Deep Nets
F Chaubard, M Chrzanowski
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