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)

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)

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 (HCI (16), 2009)

Class-specific error bounds for ensemble classifiers. - Ryan J. Prenger; Tracy D. Lemmond; Kush R. Varshney; Barry Y. Chen; William G. Hanley (KDD, 2010)

Accelerating a Random Forest Classifier: Multi-Core, GP-GPU, or FPGA? - Brian Van Essen; Chris Macaraeg; Maya B. Gokhale; Ryan Prenger (FCCM, 2012)

Learning features in deep architectures with unsupervised kernel k-means. - Karl Ni; Ryan Prenger (GlobalSIP, 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)

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 002; Andrew Y. Ng (CoRR, 2014)

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 002; Greg Diamos; Erich Elsen; Jesse H. Engel; et al. (CoRR, 2015)

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 002; Greg Diamos; et al. (ICML, 2016)

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 002 (INTERSPEECH, 2017)

Waveglow: A Flow-based Generative Network for Speech Synthesis. - Ryan Prenger; Rafael Valle; Bryan Catanzaro (ICASSP, 2019)

Mellotron: Multispeaker Expressive Voice Synthesis by Conditioning on Rhythm, Pitch and Global Style Tokens. - Rafael Valle; Jason Li; Ryan Prenger; Bryan Catanzaro (ICASSP, 2020)

Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis. - Rafael Valle; Kevin J. Shih; Ryan Prenger; Bryan Catanzaro (ICLR, 2021)

Multi-Stage Prompting for Knowledgeable Dialogue Generation. - Zihan Liu 001; Mostofa Patwary; Ryan Prenger; Shrimai Prabhumoye; Wei Ping; Mohammad Shoeybi; Bryan Catanzaro (ACL (Findings), 2022)

Evaluating Parameter Efficient Learning for Generation. - Peng Xu 008; Mostofa Patwary; Shrimai Prabhumoye; Virginia Adams; Ryan Prenger; Wei Ping; Nayeon Lee; Mohammad Shoeybi; Bryan Catanzaro (EMNLP, 2022)

Context Generation Improves Open Domain Question Answering. - Dan Su 003; Mostofa Patwary; Shrimai Prabhumoye; Peng Xu 008; Ryan Prenger; Mohammad Shoeybi; Pascale Fung; Anima Anandkumar; Bryan Catanzaro (EACL (Findings), 2023)

LeanDojo: Theorem Proving with Retrieval-Augmented Language Models. - Kaiyu Yang; Aidan M. Swope; Alex Gu; Rahul Chalamala; Peiyang Song 002; Shixing Yu; Saad Godil; Ryan J. Prenger; Animashree Anandkumar (NeurIPS, 2023)

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)

Fugatto 1: Foundational Generative Audio Transformer Opus 1. - Rafael Valle; Rohan Badlani; Zhifeng Kong; Sang-gil Lee; Arushi Goel; Sungwon Kim 001; João Felipe Santos; Shuqi Dai; Siddharth Gururani; Aya Aljafari; Alexander H. Liu; Kevin J. Shih; et al. (ICLR, 2025)