Ryan Prenger

According to our database, Ryan Prenger authored at least 19 papers between 2004 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Upcycling Large Language Models into Mixture of Experts.

Ethan He, Abhinav Khattar, Ryan Prenger, Vijay Korthikanti, Zijie Yan, Tong Liu, Shiqing Fan, Ashwath Aithal, Mohammad Shoeybi, Bryan Catanzaro

CoRR, 2024

2023

LeanDojo: Theorem Proving with Retrieval-Augmented Language Models.

Kaiyu Yang, Aidan M. Swope, Alex Gu, Rahul Chalamala, Peiyang Song, Shixing Yu, Saad Godil, Ryan J. Prenger, Animashree Anandkumar

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Context Generation Improves Open Domain Question Answering.

Dan Su, Mostofa Patwary, Shrimai Prabhumoye, Peng Xu, Ryan Prenger, Mohammad Shoeybi, Pascale Fung, Anima Anandkumar, Bryan Catanzaro

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

2022

Evaluating Parameter Efficient Learning for Generation.

Peng Xu, Mostofa Patwary, Shrimai Prabhumoye, Virginia Adams, Ryan Prenger, Wei Ping, Nayeon Lee, Mohammad Shoeybi, Bryan Catanzaro

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Multi-Stage Prompting for Knowledgeable Dialogue Generation.

Zihan Liu, Mostofa Patwary, Ryan Prenger, Shrimai Prabhumoye, Wei Ping, Mohammad Shoeybi, Bryan Catanzaro

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis.

Rafael Valle, Kevin J. Shih, Ryan Prenger, Bryan Catanzaro

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Mellotron: Multispeaker Expressive Voice Synthesis by Conditioning on Rhythm, Pitch and Global Style Tokens.

Rafael Valle, Jason Li, Ryan Prenger, Bryan Catanzaro

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Waveglow: A Flow-based Generative Network for Speech Synthesis.

Ryan Prenger, Rafael Valle, Bryan Catanzaro

Proceedings of the IEEE International Conference on Acoustics, 2019

2017

Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting.

Sercan Ömer Arik, Markus Kliegl, Rewon Child, Joel Hestness, Andrew Gibiansky, Christopher Fougner, Ryan Prenger, Adam Coates

Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

2016

Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin.

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

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin.

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

CoRR, 2015

2014

Deep Speech: Scaling up end-to-end speech recognition.

Awni Y. Hannun, Carl Case, Jared Casper, Bryan Catanzaro, Greg Diamos, Erich Elsen, Ryan Prenger, Sanjeev Satheesh, Shubho Sengupta, Adam Coates, Andrew Y. Ng

CoRR, 2014

2013

Practical Ensemble Classification Error Bounds for Different Operating Points.

Kush R. Varshney, Ryan J. Prenger, Tracy L. Marlatt, Barry Y. Chen, William G. Hanley

IEEE Trans. Knowl. Data Eng., 2013

Learning features in deep architectures with unsupervised kernel k-means.

Karl Ni, Ryan Prenger

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012

Accelerating a Random Forest Classifier: Multi-Core, GP-GPU, or FPGA?

Brian Van Essen, Chris Macaraeg, Maya B. Gokhale, Ryan Prenger

Proceedings of the 2012 IEEE 20th Annual International Symposium on Field-Programmable Custom Computing Machines, 2012

2010

Class-specific error bounds for ensemble classifiers.

Ryan J. Prenger, Tracy D. Lemmond, Kush R. Varshney, Barry Y. Chen, William G. Hanley

Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010

2009

Bayesian Reconstruction of Perceptual Experiences from Human Brain Activity.

Jack L. Gallant, Thomas Naselaris, Ryan J. Prenger, Kendrick N. Kay, Dustin Stansbury, Michael Oliver, An Vu, Shinji Nishimoto

Proceedings of the Foundations of Augmented Cognition. Neuroergonomics and Operational Neuroscience, 2009

2008

The Berkeley Wavelet Transform: A Biologically Inspired Orthogonal Wavelet Transform.

Ben D. B. Willmore, Ryan J. Prenger, Michael C.-K. Wu, Jack L. Gallant

Neural Comput., 2008

2004

Nonlinear V1 responses to natural scenes revealed by neural network analysis.

Ryan J. Prenger, Michael C.-K. Wu, Stephen V. David, Jack L. Gallant

Neural Networks, 2004