Search Results - Prenger, Ryan

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  1. 1
    Waveglow: A Flow-based Generative Network for Speech Synthesis

    Waveglow: A Flow-based Generative Network for Speech Synthesis by Prenger, Ryan, Valle, Rafael, Catanzaro, Bryan

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  2. 2
    Identifying natural images from human brain activity

    Identifying natural images from human brain activity by Gallant, Jack L, Kay, Kendrick N, Naselaris, Thomas, Prenger, Ryan J

    Published in Nature
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  3. 3
    Bayesian Reconstruction of Natural Images from Human Brain Activity

    Bayesian Reconstruction of Natural Images from Human Brain Activity by Naselaris, Thomas, Prenger, Ryan J., Kay, Kendrick N., Oliver, Michael, Gallant, Jack L.

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  4. 4
    Neural Representation of Natural Images in Visual Area V2

    Neural Representation of Natural Images in Visual Area V2 by Willmore, Ben D. B, Prenger, Ryan J, Gallant, Jack L

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  5. 5
    Modeling low-frequency fluctuation and hemodynamic response timecourse in event-related fMRI

    Modeling low-frequency fluctuation and hemodynamic response timecourse in event-related fMRI by Kay, Kendrick N., David, Stephen V., Prenger, Ryan J., Hansen, Kathleen A., Gallant, Jack L.

    Published in Human brain mapping
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  6. 6
    Mellotron: Multispeaker Expressive Voice Synthesis by Conditioning on Rhythm, Pitch and Global Style Tokens

    Mellotron: Multispeaker Expressive Voice Synthesis by Conditioning on Rhythm, Pitch and Global Style Tokens by Valle, Rafael, Li, Jason, Prenger, Ryan, Catanzaro, Bryan

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  7. 7
    The Berkeley Wavelet Transform: A Biologically Inspired Orthogonal Wavelet Transform

    The Berkeley Wavelet Transform: A Biologically Inspired Orthogonal Wavelet Transform by Willmore, Ben, Prenger, Ryan J, Wu, Michael C.-K, Gallant, Jack L

    Published in Neural computation
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  8. 8
    Nonlinear V1 responses to natural scenes revealed by neural network analysis

    Nonlinear V1 responses to natural scenes revealed by neural network analysis by Prenger, Ryan, Wu, Michael C.-K., David, Stephen V., Gallant, Jack L.

    Published in Neural networks
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  9. 9
    Accelerating a Random Forest Classifier: Multi-Core, GP-GPU, or FPGA?

    Accelerating a Random Forest Classifier: Multi-Core, GP-GPU, or FPGA? by Van Essen, B., Macaraeg, C., Gokhale, M., Prenger, R.

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  10. 10
    Practical Ensemble Classification Error Bounds for Different Operating Points

    Practical Ensemble Classification Error Bounds for Different Operating Points by Varshney, Kush R., Prenger, Ryan J., Marlatt, Tracy L., Chen, Barry Y., Hanley, William G.

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  11. 11
    Bayesian Reconstruction of Natural Images from Human Brain Activity

    Bayesian Reconstruction of Natural Images from Human Brain Activity by Naselaris, Thomas, Prenger, Ryan J, Kay, Kendrick N, Oliver, Michael, Gallant, Jack L

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  12. 12
    Learning features in deep architectures with unsupervised kernel k-means

    Learning features in deep architectures with unsupervised kernel k-means by Ni, Karl, Prenger, Ryan

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  13. 13
    Upcycling Large Language Models into Mixture of Experts

    Upcycling Large Language Models into Mixture of Experts by He, Ethan, Khattar, Abhinav, Prenger, Ryan, Korthikanti, Vijay, Yan, Zijie, Liu, Tong, Fan, Shiqing, Aithal, Ashwath, Shoeybi, Mohammad, Catanzaro, Bryan

    Published in arXiv.org
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  14. 14
    Nonlinear V1 responses to natural scenes revealed by neural network analysis: Vision and brain

    Nonlinear V1 responses to natural scenes revealed by neural network analysis: Vision and brain by PRENGER, Ryan, WU, Michael C.-K, DAVID, Stephen V, GALLANT, Jack L

    Published in Neural networks
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  15. 15
    LeanDojo: Theorem Proving with Retrieval-Augmented Language Models

    LeanDojo: Theorem Proving with Retrieval-Augmented Language Models by Yang, Kaiyu, Swope, Aidan M, Gu, Alex, Chalamala, Rahul, Song, Peiyang, Yu, Shixing, Godil, Saad, Prenger, Ryan, Anandkumar, Anima

    Published in arXiv.org
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  16. 16
    Context Generation Improves Open Domain Question Answering

    Context Generation Improves Open Domain Question Answering by Su, Dan, Patwary, Mostofa, Prabhumoye, Shrimai, Xu, Peng, Prenger, Ryan, Shoeybi, Mohammad, Fung, Pascale, Anandkumar, Anima, Catanzaro, Bryan

    Published in arXiv.org
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  17. 17
    WaveGlow: A Flow-based Generative Network for Speech Synthesis

    WaveGlow: A Flow-based Generative Network for Speech Synthesis by Prenger, Ryan, Valle, Rafael, Catanzaro, Bryan

    Published in arXiv.org
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  18. 18
    Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis

    Flowtron: an Autoregressive Flow-based Generative Network for Text-to-Speech Synthesis by Valle, Rafael, Shih, Kevin, Prenger, Ryan, Catanzaro, Bryan

    Published in arXiv.org
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  19. 19
    Multi-Stage Prompting for Knowledgeable Dialogue Generation

    Multi-Stage Prompting for Knowledgeable Dialogue Generation by Liu, Zihan, Patwary, Mostofa, Prenger, Ryan, Prabhumoye, Shrimai, Wei, Ping, Shoeybi, Mohammad, Catanzaro, Bryan

    Published in arXiv.org
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  20. 20
    Evaluating Parameter Efficient Learning for Generation

    Evaluating Parameter Efficient Learning for Generation by Xu, Peng, Patwary, Mostofa, Prabhumoye, Shrimai, Adams, Virginia, Prenger, Ryan J, Wei, Ping, Lee, Nayeon, Shoeybi, Mohammad, Catanzaro, Bryan

    Published in arXiv.org
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