| Deep learning for joint source-channel coding of text N Farsad, M Rao, A Goldsmith 2018 IEEE international conference on acoustics, speech and signal …, 2018 | 409 | 2018 |
| MGF approach to the analysis of generalized two-ray fading models M Rao, FJ Lopez-Martinez, MS Alouini, A Goldsmith IEEE Transactions on Wireless Communications 14 (5), 2548-2561, 2015 | 125 | 2015 |
| QVZ: lossy compression of quality values G Malysa, M Hernaez, I Ochoa, M Rao, K Ganesan, T Weissman Bioinformatics 31 (19), 3122-3129, 2015 | 82 | 2015 |
| Speech to semantics: Improve asr and nlu jointly via all-neural interfaces M Rao, A Raju, P Dheram, B Bui, A Rastrow arXiv preprint arXiv:2008.06173, 2020 | 48 | 2020 |
| Statistics and system performance metrics for the two wave with diffuse power fading model M Rao, FJ Lopez-Martinez, A Goldsmith 2014 48th annual conference on information sciences and systems (CISS), 1-6, 2014 | 26 | 2014 |
| MTL-SLT: multi-task learning for spoken language tasks Z Huang, M Rao, A Raju, Z Zhang, B Bui, C Lee Proceedings of the 4th Workshop on NLP for Conversational AI, 120-130, 2022 | 24 | 2022 |
| Decentralized optimization over noisy, rate-constrained networks: Achieving consensus by communicating differences R Saha, S Rini, M Rao, AJ Goldsmith IEEE Journal on Selected Areas in Communications 40 (2), 449-467, 2021 | 23 | 2021 |
| Do as i mean, not as i say: Sequence loss training for spoken language understanding M Rao, P Dheram, G Tiwari, A Raju, J Droppo, A Rastrow, A Stolcke ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 20 | 2021 |
| Benefits of storage control for wind power producers in power markets M Chowdhury, M Rao, Y Zhao, T Javidi, A Goldsmith IEEE Transactions on Sustainable Energy 7 (4), 1492-1505, 2016 | 19 | 2016 |
| Variable length joint source-channel coding of text using deep neural networks M Rao, N Farsad, A Goldsmith 2018 IEEE 19th international workshop on signal processing advances in …, 2018 | 17 | 2018 |
| Estimation in autoregressive processes with partial observations M Rao, T Javidi, YC Eldar, A Goldsmith 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 15 | 2017 |
| System identification from partial samples: Non-asymptotic analysis M Rao, A Kipnis, T Javidi, YC Eldar, A Goldsmith 2016 IEEE 55th Conference on Decision and Control (CDC), 2938-2944, 2016 | 14 | 2016 |
| On joint training with interfaces for spoken language understanding A Raju, M Rao, G Tiwari, P Dheram, B Anderson, Z Zhang, C Lee, B Bui, ... arXiv preprint arXiv:2106.15919, 2021 | 12 | 2021 |
| Listen with intent: Improving speech recognition with audio-to-intent front-end SN Ray, M Wu, A Raju, P Ghahremani, R Bilgi, M Rao, H Arsikere, ... arXiv preprint arXiv:2105.07071, 2021 | 11 | 2021 |
| Decentralized optimization over noisy, rate-constrained networks: How we agree by talking about how we disagree R Saha, S Rini, M Rao, A Goldsmith ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 10 | 2021 |
| Ilasr: privacy-preserving incremental learning for automatic speech recognition at production scale G Chennupati, M Rao, G Chadha, A Eakin, A Raju, G Tiwari, AK Sahu, ... Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 8 | 2022 |
| Value of storage for wind power producers in forward power markets M Rao, M Chowdhury, Y Zhao, T Javidi, A Goldsmith 2015 American Control Conference (ACC), 5686-5691, 2015 | 8 | 2015 |
| On the capacity of diffusion-based molecular timing channels with diversity N Farsad, Y Murin, M Rao, A Goldsmith 2016 50th Asilomar Conference on Signals, Systems and Computers, 1117-1121, 2016 | 7 | 2016 |
| Fundamental estimation limits in autoregressive processes with compressive measurements M Rao, T Javidi, YC Eldar, A Goldsmith 2017 IEEE International Symposium on Information Theory (ISIT), 2895-2899, 2017 | 6 | 2017 |
| Precoding schemes for mimo downlink transmission M Rao, A Kazerouni, O Aryan Stanford University, Stanford, CA, EE360 Paper Summary, 2007 | 6 | 2007 |
Nariman FarsadAssistant Professor of Computer Science, Toronto Metropolitan UniversityVerified email at ryerson.ca
