Search Results - Zhang, Cyril

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  1. 1
    A COMBINED SPECTROSCOPIC AND PHOTOMETRIC STELLAR ACTIVITY STUDY OF EPSILON ERIDANI

    A COMBINED SPECTROSCOPIC AND PHOTOMETRIC STELLAR ACTIVITY STUDY OF EPSILON ERIDANI by Giguere, Matthew J., Fischer, Debra A., Zhang, Cyril X. Y., Matthews, Jaymie M., Cameron, Chris, Henry, Gregory W.

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  2. 2
    Plasma membrane changes during programmed cell deaths

    Plasma membrane changes during programmed cell deaths by Zhang, Yingying, Chen, Xin, Gueydan, Cyril, Han, Jiahuai

    Published in Cell research
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  3. 3
    A combined spectroscopic and photometric stellar activity study of Epsilon Eridani

    A combined spectroscopic and photometric stellar activity study of Epsilon Eridani by Giguere, Matthew J, Fischer, Debra A, Zhang, Cyril X Y, Matthews, Jaymie M, Cameron, Chris, Henry, Gregory W

    Published in arXiv.org
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  4. 4
    Robust guarantees for learning an autoregressive filter

    Robust guarantees for learning an autoregressive filter by Holden, Lee, Zhang, Cyril

    Published in arXiv.org
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  5. 5
    Learning Hidden Markov Models Using Conditional Samples

    Learning Hidden Markov Models Using Conditional Samples by Kakade, Sham M, Krishnamurthy, Akshay, Mahajan, Gaurav, Zhang, Cyril

    Published in arXiv.org
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  6. 6
    Acceleration via Fractal Learning Rate Schedules

    Acceleration via Fractal Learning Rate Schedules by Agarwal, Naman, Goel, Surbhi, Zhang, Cyril

    Published in arXiv.org
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  7. 7
    Can large language models explore in-context?

    Can large language models explore in-context? by Krishnamurthy, Akshay, Harris, Keegan, Foster, Dylan J, Zhang, Cyril, Slivkins, Aleksandrs

    Published in arXiv.org
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  8. 8
    Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms

    Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms by Goel, Surbhi, Kakade, Sham, Kalai, Adam Tauman, Zhang, Cyril

    Published in arXiv.org
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  9. 9
    Inductive Biases and Variable Creation in Self-Attention Mechanisms

    Inductive Biases and Variable Creation in Self-Attention Mechanisms by Edelman, Benjamin L, Goel, Surbhi, Kakade, Sham, Zhang, Cyril

    Published in arXiv.org
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  10. 10
    Sparsity in Partially Controllable Linear Systems

    Sparsity in Partially Controllable Linear Systems by Efroni, Yonathan, Kakade, Sham, Krishnamurthy, Akshay, Zhang, Cyril

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  11. 11
    Self-Improvement in Language Models: The Sharpening Mechanism

    Self-Improvement in Language Models: The Sharpening Mechanism by Huang, Audrey, Block, Adam, Foster, Dylan J, Rohatgi, Dhruv, Zhang, Cyril, Simchowitz, Max, Ash, Jordan T, Krishnamurthy, Akshay

    Published in arXiv.org
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  12. 12
    ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles

    ASL STEM Wiki: Dataset and Benchmark for Interpreting STEM Articles by Yin, Kayo, Singh, Chinmay, Minakov, Fyodor O, Milan, Vanessa, Daumé, Hal, Zhang, Cyril, Lu, Alex X, Bragg, Danielle

    Published in arXiv.org
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  13. 13
    EyeO: Autocalibrating Gaze Output with Gaze Input

    EyeO: Autocalibrating Gaze Output with Gaze Input by Saran, Akanksha, Alber, Jacob, Zhang, Cyril, Paradiso, Ann, Bragg, Danielle, Langford, John

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  14. 14
    Pareto Frontiers in Neural Feature Learning: Data, Compute, Width, and Luck

    Pareto Frontiers in Neural Feature Learning: Data, Compute, Width, and Luck by Edelman, Benjamin L, Goel, Surbhi, Kakade, Sham, Malach, Eran, Zhang, Cyril

    Published in arXiv.org
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  15. 15
    Exposing Attention Glitches with Flip-Flop Language Modeling

    Exposing Attention Glitches with Flip-Flop Language Modeling by Liu, Bingbin, Ash, Jordan T, Goel, Surbhi, Krishnamurthy, Akshay, Zhang, Cyril

    Published in arXiv.org
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  16. 16
    Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression

    Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression by Block, Adam, Foster, Dylan J, Krishnamurthy, Akshay, Simchowitz, Max, Zhang, Cyril

    Published in arXiv.org
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  17. 17
    Neural Active Learning on Heteroskedastic Distributions

    Neural Active Learning on Heteroskedastic Distributions by Khosla, Savya, Chew Kin Whye, Ash, Jordan T, Zhang, Cyril, Kawaguchi, Kenji, Lamb, Alex

    Published in arXiv.org
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  18. 18
    Transformers Learn Shortcuts to Automata

    Transformers Learn Shortcuts to Automata by Liu, Bingbin, Ash, Jordan T, Goel, Surbhi, Krishnamurthy, Akshay, Zhang, Cyril

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  19. 19
    Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit

    Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit by Barak, Boaz, Edelman, Benjamin L, Goel, Surbhi, Kakade, Sham, Malach, Eran, Zhang, Cyril

    Published in arXiv.org
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  20. 20
    No-Regret Prediction in Marginally Stable Systems

    No-Regret Prediction in Marginally Stable Systems by Ghai, Udaya, Holden, Lee, Singh, Karan, Zhang, Cyril, Zhang, Yi

    Published in arXiv.org
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