Ryan Prenger

Computer Science · Physical Sciences

16h-index6.7kcitations42works0.22yr avg
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Research Topics

Topic Modeling(13), Speech Recognition and Synthesis(10), Natural Language Processing Techniques(8), Neural dynamics and brain function(8), Visual perception and processing mechanisms(7)

Publications37 total

Upcycling Large Language Models into Mixture of Experts
arXiv (Cornell University)·2024· 1 citedOpen Access
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
arXiv (Cornell University)·2023· 38 citedOpen Access
Context Generation Improves Open Domain Question Answering
2023· 8 citedOpen Access
Evaluating Parameter Efficient Learning for Generation
arXiv (Cornell University)·2022Open Access
Context Generation Improves Open Domain Question Answering
arXiv (Cornell University)·2022· 1 citedOpen Access
Multi-Stage Prompting for Knowledgeable Dialogue Generation
arXiv (Cornell University)·2022· 3 citedOpen Access
Evaluating Parameter Efficient Learning for Generation
2022· 1 citedOpen Access
Multi-Stage Prompting for Knowledgeable Dialogue Generation
Findings of the Association for Computational Linguistics: ACL 2022·2022Open Access
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
International Conference on Learning Representations·2021· 4 cited
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis
arXiv (Cornell University)·2020· 81 citedOpen Access
Mellotron: Multispeaker Expressive Voice Synthesis by Conditioning on Rhythm, Pitch and Global Style Tokens
2020· 17 citedOpen Access
Waveglow: A Flow-based Generative Network for Speech Synthesis
2019· 75 citedOpen Access
The unified maximum a posteriori (MAP) framework for neuronal system identification
arXiv (Cornell University)·2018· 1 citedOpen Access
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting
2017· 145 cited
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting
arXiv (Cornell University)·2017· 4 citedOpen Access
End to end speech recognition in English and Mandarin
2016· 19 cited
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
arXiv (Cornell University)·2015· 191 citedOpen Access
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
arXiv (Cornell University)·2015· 2.2k citedOpen Access
Deep Speech: Scaling up end-to-end speech recognition
arXiv (Cornell University)·2014· 1.5k citedOpen Access
Learning features in deep architectures with unsupervised kernel k-means
2013· 4 cited
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Frequent Co-authors

Bryan Catanzaro(15), Jack L. Gallant(10), Mohammad Shoeybi(7), Adam Coates(6), Mostofa Patwary(6), Shrimai Prabhumoye(6), Carl Case(4), Jared Casper(4), Greg Diamos(4), Erich Elsen(4), Awni Hannun(4), Sanjeev Satheesh(4), Shubho Sengupta(4), Kendrick Kay(4), Rafael Valle(4), Dario Amodei(3), Rishita Anubhai(3), Eric Battenberg(3), Jingdong Chen(3), Mike Chrzanowski(3)