| 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 | 3941 | 2016 |
| 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 | 870* | 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 | 279 | 2018 |
| 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 | 240 | 2019 |
| 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 | 207* | 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 | 136 | 2019 |
| 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 | 126 | 2016 |
| 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 | 121* | 2020 |
| End-to-end speech recognition B Catanzaro, J Chen, M Chrzanowski, E Elsen, J Engel, C Fougner, ... US Patent 10,332,509, 2019 | 115 | 2019 |
| 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 | 80 | 2020 |
| 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 | 24 | 2020 |
| Neural networks with relational memory M Chrzanowski, JW Rae, R Faulkner, TG Weber, DN Raposo, AA Santoro US Patent 10,853,725, 2020 | 11 | 2020 |
| Using Twitter to predict voting behavior M Chrzanowski, D Levick Erişim adresi: http://cs229. stanford. edu/proj2012/ChrzanowskiLevick …, 2012 | 9 | 2012 |
| Text-to-speech using duration prediction Y Zhang, I Elias, B Chun, Y Jia, Y Wu, M Chrzanowski, J Shen US Patent 12,100,382, 2024 | 3 | 2024 |
| S3ta: A soft, spatial, sequential, top-down attention model A Mott, D Zoran, M Chrzanowski, D Wierstra, DJ Rezende | 3 | 2019 |
| Methods of improving LLM training stability O Rybakov, M Chrzanowski, P Dykas, J Xue, B Lanir arXiv preprint arXiv:2410.16682, 2024 | 2 | 2024 |
| 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 | 2 | 2022 |
| Real-time neural text-to-speech M Chrzanowski, A Coates, G DIAMOS, A GIBIANSKY, J Miller, A Ng, ... US Patent 11,705,107, 2023 | 1 | 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 |
Adam CoatesPreviously Apple, Khosla Ventures, Baidu SVAIL, Stanford PhDcs.stanford.edu üzerinde doğrulanmış e-posta adresine sahip
