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2020 – today
- 2023
[c13]Dan Su, Mostofa Patwary, Shrimai Prabhumoye, Peng Xu, Ryan Prenger, Mohammad Shoeybi, Pascale Fung, Anima Anandkumar, Bryan Catanzaro:
Context Generation Improves Open Domain Question Answering. EACL (Findings) 2023: 781-796- [c12]Kaiyu Yang, Aidan M. Swope, Alex Gu, Rahul Chalamala, Peiyang Song, Shixing Yu, Saad Godil, Ryan J. Prenger, Animashree Anandkumar:
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models. NeurIPS 2023 - [i10]Kaiyu Yang, Aidan M. Swope, Alex Gu, Rahul Chalamala, Peiyang Song, Shixing Yu, Saad Godil, Ryan Prenger, Anima Anandkumar:
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models. CoRR abs/2306.15626 (2023) - 2022
- [c11]Zihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro:
Multi-Stage Prompting for Knowledgeable Dialogue Generation. ACL (Findings) 2022: 1317-1337 - [c10]Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro:
Evaluating Parameter Efficient Learning for Generation. EMNLP 2022: 4824-4833 - [i9]Zihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro:
Multi-Stage Prompting for Knowledgeable Dialogue Generation. CoRR abs/2203.08745 (2022) - [i8]Dan Su, Mostofa Patwary, Shrimai Prabhumoye, Peng Xu, Ryan Prenger, Mohammad Shoeybi, Pascale Fung, Anima Anandkumar, Bryan Catanzaro:
Context Generation Improves Open Domain Question Answering. CoRR abs/2210.06349 (2022) - [i7]Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan J. Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro:
Evaluating Parameter Efficient Learning for Generation. CoRR abs/2210.13673 (2022) - 2021
- [c9]Rafael Valle, Kevin J. Shih, Ryan Prenger, Bryan Catanzaro:
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis. ICLR 2021 - 2020
- [c8]Rafael Valle, Jason Li, Ryan Prenger, Bryan Catanzaro:
Mellotron: Multispeaker Expressive Voice Synthesis by Conditioning on Rhythm, Pitch and Global Style Tokens. ICASSP 2020: 6189-6193 - [i6]Rafael Valle, Kevin J. Shih, Ryan Prenger, Bryan Catanzaro:
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis. CoRR abs/2005.05957 (2020)
2010 – 2019
- 2019
- [c7]Ryan Prenger, Rafael Valle, Bryan Catanzaro:
Waveglow: A Flow-based Generative Network for Speech Synthesis. ICASSP 2019: 3617-3621 - [i5]Rafael Valle, Jason Li, Ryan Prenger, Bryan Catanzaro:
Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens. CoRR abs/1910.11997 (2019) - 2018
- [i4]Ryan Prenger, Rafael Valle, Bryan Catanzaro:
WaveGlow: A Flow-based Generative Network for Speech Synthesis. CoRR abs/1811.00002 (2018) - 2017
- [c6]Sercan Ömer Arik, Markus Kliegl
, Rewon Child, Joel Hestness, Andrew Gibiansky, Christopher Fougner, Ryan Prenger, Adam Coates:
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting. INTERSPEECH 2017: 1606-1610 - [i3]Sercan Ömer Arik, Markus Kliegl, Rewon Child, Joel Hestness, Andrew Gibiansky, Christopher Fougner, Ryan Prenger, Adam Coates:
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting. CoRR abs/1703.05390 (2017) - 2016
- [c5]Dario Amodei, Sundaram Ananthanarayanan, Rishita Anubhai, Jingliang Bai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Awni Y. Hannun, Billy Jun, Tony Han, Patrick LeGresley, Xiangang Li, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Sheng Qian, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Chong Wang, Yi Wang, Zhiqian Wang, Bo Xiao, Yan Xie, Dani Yogatama, Jun Zhan, Zhenyao Zhu:
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin. ICML 2016: 173-182 - 2015
- [i2]Dario Amodei, Rishita Anubhai, Eric Battenberg, Carl Case, Jared Casper, Bryan Catanzaro, Jingdong Chen, Mike Chrzanowski, Adam Coates, Greg Diamos, Erich Elsen, Jesse H. Engel, Linxi Fan, Christopher Fougner, Tony Han, Awni Y. Hannun, Billy Jun, Patrick LeGresley, Libby Lin, Sharan Narang, Andrew Y. Ng, Sherjil Ozair, Ryan Prenger, Jonathan Raiman, Sanjeev Satheesh, David Seetapun, Shubho Sengupta, Yi Wang, Zhiqian Wang, Chong Wang, Bo Xiao, Dani Yogatama, Jun Zhan, Zhenyao Zhu:
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin. CoRR abs/1512.02595 (2015) - 2014
- [i1]Awni Y. Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, Andrew Y. Ng:
Deep Speech: Scaling up end-to-end speech recognition. CoRR abs/1412.5567 (2014) - 2013
- [j3]Kush R. Varshney, Ryan J. Prenger, Tracy L. Marlatt, Barry Y. Chen, William G. Hanley:
Practical Ensemble Classification Error Bounds for Different Operating Points. IEEE Trans. Knowl. Data Eng. 25(11): 2590-2601 (2013) - [c4]Karl Ni, Ryan Prenger:
Learning features in deep architectures with unsupervised kernel k-means. GlobalSIP 2013: 981-984 - 2012
- [c3]Brian Van Essen, Chris Macaraeg, Maya B. Gokhale, Ryan Prenger:
Accelerating a Random Forest Classifier: Multi-Core, GP-GPU, or FPGA? FCCM 2012: 232-239 - 2010
- [c2]Ryan J. Prenger, Tracy D. Lemmond, Kush R. Varshney, Barry Y. Chen, William G. Hanley:
Class-specific error bounds for ensemble classifiers. KDD 2010: 843-852
2000 – 2009
- 2009
- [c1]Jack L. Gallant, Thomas Naselaris, Ryan J. Prenger, Kendrick N. Kay, Dustin Stansbury, Michael Oliver, An Vu, Shinji Nishimoto:
Bayesian Reconstruction of Perceptual Experiences from Human Brain Activity. HCI (16) 2009: 390-393 - 2008
- [j2]Ben D. B. Willmore, Ryan J. Prenger, Michael C.-K. Wu, Jack L. Gallant:
The Berkeley Wavelet Transform: A Biologically Inspired Orthogonal Wavelet Transform. Neural Comput. 20(6): 1537-1564 (2008) - 2004
- [j1]Ryan J. Prenger, Michael C.-K. Wu, Stephen V. David, Jack L. Gallant:
Nonlinear V1 responses to natural scenes revealed by neural network analysis. Neural Networks 17(5-6): 663-679 (2004)
Coauthor Index
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