RP
Ryan Prenger
cs.CLcs.LGcs.AIModels, Neurologicalcs.SDeess.ASBrain Mappingstat.MLArtifactsBayes Theorem
On Valency
published · living versionsW_rk3e7h7w·v1 · currentpublished
Deep Speech: Scaling up end-to-end speech recognition
with Awni Hannun, Carl Case, Jared Casper, Bryan Catanzaro +6
1 version
Preprints & journals
21 papers in the corpus · 2004–2025NVIDIA Nemotron 3: Efficient and Open Intelligence2512.20856v1 · NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant et al.2025 · 1 citationarXiv
Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning2512.20848v1 · NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant et al.2025 · 0 citationsarXiv
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model2508.14444v4 · NVIDIA: Aarti Basant, Abhijit Khairnar, Abhijit Paithankar et al.2025 · 0 citationsarXiv
Upcycling Large Language Models into Mixture of Experts2410.07524v2 · Ethan He, Abhinav Khattar, Ryan Prenger et al.2024 · 1 citationarXiv
LeanDojo: Theorem Proving with Retrieval-Augmented Language Models2306.15626v2 · Kaiyu Yang, Aidan M. Swope, Alex Gu et al.2023 · 75 citationsarXiv
Evaluating Parameter Efficient Learning for Generation2210.13673v1 · Peng Xu, Mostofa Patwary, Shrimai Prabhumoye et al.2022 · 1 citationarXiv
Context Generation Improves Open Domain Question Answering2210.06349v2 · Dan Su, Mostofa Patwary, Shrimai Prabhumoye et al.2022 · 9 citationsarXiv
Multi-Stage Prompting for Knowledgeable Dialogue Generation2203.08745v1 · Zihan Liu, Mostofa Patwary, Ryan Prenger et al.2022 · 45 citationsarXiv
Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis2005.05957v3 · Rafael Valle, Kevin Shih, Ryan Prenger et al.2020 · 96 citationsarXiv
Mellotron: Multispeaker expressive voice synthesis by conditioning on rhythm, pitch and global style tokens1910.11997v1 · Rafael Valle, Jason Li, Ryan Prenger et al.2019 · 141 citationsarXiv
WaveGlow: A Flow-based Generative Network for Speech Synthesis1811.00002v1 · Ryan Prenger, Rafael Valle, Bryan Catanzaro2018 · 1,005 citationsarXiv
The unified maximum a posteriori (MAP) framework for neuronal system identification1811.01043v2 · Michael C.-K. Wu, Fatma Deniz, Ryan J. Prenger et al.2018 · 1 citationarXiv
Convolutional Recurrent Neural Networks for Small-Footprint Keyword Spotting1703.05390v3 · Sercan O. Arik, Markus Kliegl, Rewon Child et al.2017 · 152 citationsarXiv
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin1512.02595v1 · Dario Amodei, Rishita Anubhai, Eric Battenberg et al.2015 · 2,110 citationsarXiv
Deep Speech: Scaling up end-to-end speech recognition1412.5567v2 · Awni Hannun, Carl Case, Jared Casper et al.2014 · 1,490 citationsarXivon Valency
Neural representation of natural images in visual area V2.20147538 · Willmore, Ben D B, Prenger, Ryan J, Gallant, Jack L2010 · 108 citationsThe Journal of neuroscience : the official journal of the Society for Neuroscience. 2010;30(6):2102-14
Bayesian reconstruction of natural images from human brain activity.19778517 · Naselaris, Thomas, Prenger, Ryan J, Kay, Kendrick N et al.2009 · 512 citationsNeuron. 2009;63(6):902-15
The berkeley wavelet transform: a biologically inspired orthogonal wavelet transform.18194102 · Willmore, Ben, Prenger, Ryan J, Wu, Michael C-K et al.2008 · 36 citationsNeural computation. 2008;20(6):1537-64
Identifying natural images from human brain activity.18322462 · Kay, Kendrick N, Naselaris, Thomas, Prenger, Ryan J et al.2008 · 1,292 citationsNature. 2008;452(7185):352-5
Modeling low-frequency fluctuation and hemodynamic response timecourse in event-related fMRI.17394212 · Kay, Kendrick N, David, Stephen V, Prenger, Ryan J et al.2008 · 77 citationsHuman brain mapping. 2008;29(2):142-56
Nonlinear V1 responses to natural scenes revealed by neural network analysis.15288891 · Prenger, Ryan, Wu, Michael C-K, David, Stephen V et al.2004 · 72 citationsNeural networks : the official journal of the International Neural Network Society. 2004;17(5-6):663-79
Career total: 33 works. 21 are in this corpus.
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