Search Results - Saurous, Rif A

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  1. 1
    Scalable spatiotemporal prediction with Bayesian neural fields

    Scalable spatiotemporal prediction with Bayesian neural fields by Saad, Feras, Burnim, Jacob, Carroll, Colin, Patton, Brian, Köster, Urs, A. Saurous, Rif, Hoffman, Matthew

    Published in Nature communications
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  2. 2
    Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

    Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions by Shen, Jonathan, Pang, Ruoming, Weiss, Ron J., Schuster, Mike, Jaitly, Navdeep, Yang, Zongheng, Chen, Zhifeng, Zhang, Yu, Wang, Yuxuan, Skerrv-Ryan, Rj, Saurous, Rif A., Agiomvrgiannakis, Yannis, Wu, Yonghui

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  3. 3
    CNN architectures for large-scale audio classification

    CNN architectures for large-scale audio classification by Hershey, Shawn, Chaudhuri, Sourish, Ellis, Daniel P. W., Gemmeke, Jort F., Jansen, Aren, Moore, R. Channing, Plakal, Manoj, Platt, Devin, Saurous, Rif A., Seybold, Bryan, Slaney, Malcolm, Weiss, Ron J., Wilson, Kevin

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  4. 4
    Differentiable Consistency Constraints for Improved Deep Speech Enhancement

    Differentiable Consistency Constraints for Improved Deep Speech Enhancement by Wisdom, Scott, Hershey, John R., Wilson, Kevin, Thorpe, Jeremy, Chinen, Michael, Patton, Brian, Saurous, Rif A.

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  5. 5
    Unsupervised Learning of Semantic Audio Representations

    Unsupervised Learning of Semantic Audio Representations by Jansen, Aren, Plakal, Manoj, Pandya, Ratheet, Ellis, Daniel P. W., Hershey, Shawn, Liu, Jiayang, Moore, R. Channing, Saurous, Rif A.

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  6. 6
    Large-Scale Weakly-Supervised Content Embeddings for Music Recommendation and Tagging

    Large-Scale Weakly-Supervised Content Embeddings for Music Recommendation and Tagging by Huang, Qingqing, Jansen, Aren, Zhang, Li, Ellis, Daniel P. W., Saurous, Rif A., Anderson, John

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  7. 7
    Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision

    Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision by Jansen, Aren, Ellis, Daniel P. W., Hershey, Shawn, Moore, R. Channing, Plakal, Manoj, Popat, Ashok C., Saurous, Rif A.

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  8. 8
    Ultrasonic Communication Using Consumer Hardware

    Ultrasonic Communication Using Consumer Hardware by Getreuer, Pascal, Gnegy, Chet, Lyon, Richard F., Saurous, Rif A.

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  9. 9
    Trainable frontend for robust and far-field keyword spotting

    Trainable frontend for robust and far-field keyword spotting by Yuxuan Wang, Getreuer, Pascal, Hughes, Thad, Lyon, Richard F., Saurous, Rif A.

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  10. 10
    On Using Backpropagation for Speech Texture Generation and Voice Conversion

    On Using Backpropagation for Speech Texture Generation and Voice Conversion by Chorowski, Jan, Weiss, Ron J., Saurous, Rif A., Bengio, Samy

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  11. 11
    Scalable Spatiotemporal Prediction with Bayesian Neural Fields

    Scalable Spatiotemporal Prediction with Bayesian Neural Fields by Saad, Feras, Burnim, Jacob, Carroll, Colin, Patton, Brian, Köster, Urs, Saurous, Rif A, Hoffman, Matthew

    Published in arXiv.org
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  12. 12
    All Random Features Representations are Equivalent

    All Random Features Representations are Equivalent by Sernau, Luke, Bonacina, Silvano, Saurous, Rif A

    Published in arXiv.org
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  13. 13
    Robust Inverse Graphics via Probabilistic Inference

    Robust Inverse Graphics via Probabilistic Inference by Le, Tuan Anh, Sountsov, Pavel, Hoffman, Matthew D, Lee, Ben, Patton, Brian, Saurous, Rif A

    Published in arXiv.org
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  14. 14
    Grammar Prompting for Domain-Specific Language Generation with Large Language Models

    Grammar Prompting for Domain-Specific Language Generation with Large Language Models by Wang, Bailin, Wang, Zi, Wang, Xuezhi, Cao, Yuan, Saurous, Rif A, Yoon, Kim

    Published in arXiv.org
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  15. 15
    Sequential Monte Carlo Learning for Time Series Structure Discovery

    Sequential Monte Carlo Learning for Time Series Structure Discovery by Saad, Feras A, Patton, Brian J, Hoffman, Matthew D, Saurous, Rif A, Mansinghka, Vikash K

    Published in arXiv.org
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  16. 16
    Training Chain-of-Thought via Latent-Variable Inference

    Training Chain-of-Thought via Latent-Variable Inference by Du Phan, Hoffman, Matthew D, Dohan, David, Sholto Douglas, Le, Tuan Anh, Parisi, Aaron, Sountsov, Pavel, Sutton, Charles, Vikram, Sharad, Saurous, Rif A

    Published in arXiv.org
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  17. 17
    ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images

    ProbNeRF: Uncertainty-Aware Inference of 3D Shapes from 2D Images by Hoffman, Matthew D, Le, Tuan Anh, Sountsov, Pavel, Suter, Christopher, Lee, Ben, Mansinghka, Vikash K, Saurous, Rif A

    Published in arXiv.org
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  18. 18
    Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks

    Neumann Optimizer: A Practical Optimization Algorithm for Deep Neural Networks by Krishnan, Shankar, Xiao, Ying, Saurous, Rif A

    Published in arXiv.org
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  19. 19
    Language Model Cascades

    Language Model Cascades by Dohan, David, Xu, Winnie, Lewkowycz, Aitor, Austin, Jacob, Bieber, David, Lopes, Raphael Gontijo, Wu, Yuhuai, Michalewski, Henryk, Saurous, Rif A, Sohl-dickstein, Jascha, Murphy, Kevin, Sutton, Charles

    Published in arXiv.org
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  20. 20
    Automatically Batching Control-Intensive Programs for Modern Accelerators

    Automatically Batching Control-Intensive Programs for Modern Accelerators by Radul, Alexey, Patton, Brian, Maclaurin, Dougal, Hoffman, Matthew D, Saurous, Rif A

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