Mike Chrzanowski
Mike Chrzanowski
Research Engineer, Google Brain
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
17062016
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
3212017
Relational recurrent neural networks
A Santoro, R Faulkner, D Raposo, J Rae, M Chrzanowski, T Weber, ...
Advances in neural information processing systems, 7299-7310, 2018
922018
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
632016
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
58*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
302019
Towards interpretable reinforcement learning using attention augmented agents
A Mott, D Zoran, M Chrzanowski, D Wierstra, DJ Rezende
Advances in Neural Information Processing Systems, 12350-12359, 2019
202019
End-to-end speech recognition
B Catanzaro, J Chen, M Chrzanowski, E Elsen, J Engel, C Fougner, ...
US Patent 10,332,509, 2019
132019
Using Twitter to predict voting behavior
M Chrzanowski, D Levick
CS229. December. Stanford, 2012
72012
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
22020
Systems and methods for real-time neural text-to-speech
M Chrzanowski, A Coates, G DIAMOS, A GIBIANSKY, J Miller, A Ng, ...
US Patent App. 15/882,926, 2018
12018
Neural Networks with Relational Memory
M Chrzanowski, JW Rae, R Faulkner, TG Weber, DN Raposo, AA Santoro
US Patent App. 16/415,954, 2019
2019
S3TA: A Soft, Spatial, Sequential, Top-Down Attention Model
A Mott, D Zoran, M Chrzanowski, D Wierstra, DJ Rezende
2018
Writing a Faster, Cleaner Elastic Net Solver
M Chrzanowski
2014
Facial Verification using Fisher Vectors and Deep Nets
F Chaubard, M Chrzanowski
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Articles 1–15