Paper

  • Kernel Multimodal Continuous Attention

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kernel Multimodal Continuous Attention

    Walter Dempsey, Alexander Moreno, Supriya Nagesh, James Rehg, Zhenke Wu p18046-18059 from Advances in Neural Information Processing Systems 35
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  • Kernel PCA for Out-of-Distribution Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kernel PCA for Out-of-Distribution Detection

    Kun Fang, Mingzhen He, Xiaolin Huang, Kexin Lv, Qinghua Tao, Jie Yang p134317-134344 from Advances in Neural Information Processing Systems 37
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  • Kernel Quadrature with Randomly Pivoted Cholesky

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kernel Quadrature with Randomly Pivoted Cholesky

    Ethan Epperly, Elvira Moreno p65850-65868 from Advances in Neural Information Processing Systems 36
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  • Kernel Similarity Matching with Hebbian Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kernel Similarity Matching with Hebbian Networks

    Kyle Luther, Sebastian Seung p2282-2293 from Advances in Neural Information Processing Systems 35
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  • Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization

    Clement Benard, Sébastien Da Veiga, Brian Staber p49281-49311 from Advances in Neural Information Processing Systems 36
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  • Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kernel-Based Function Approximation for Average Reward Reinforcement Learning: An Optimist No-Regret Algorithm

    Julia Olkhovskaya, Sattar Vakili p25401-25425 from Advances in Neural Information Processing Systems 37
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  • Kernel-Based Tests for Likelihood-Free Hypothesis Testing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kernel-Based Tests for Likelihood-Free Hypothesis Testing

    Patrik Robert Gerber, Tianze Jiang, Yury Polyanskiy, Rui Sun p15680-15715 from Advances in Neural Information Processing Systems 36
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  • Kernelized Cumulants: Beyond Kernel Mean Embeddings

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kernelized Cumulants: Beyond Kernel Mean Embeddings

    Patric Bonnier, Harald Oberhauser, Zoltan Szabo p11049-11074 from Advances in Neural Information Processing Systems 36
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  • Kernelized Reinforcement Learning with Order Optimal Regret Bounds

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Kernelized Reinforcement Learning with Order Optimal Regret Bounds

    Julia Olkhovskaya, Sattar Vakili p4225-4247 from Advances in Neural Information Processing Systems 36
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  • KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    KERPLE: Kernelized Relative Positional Embedding for Length Extrapolation

    Ta-Chung Chi, Ting-Han Fan, Peter J Ramadge, Alexander Rudnicky p8386-8399 from Advances in Neural Information Processing Systems 35
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  • Kevin Davis’ Nano Particle Research at Princeton University

    Coal Technologies Associates

    Kevin Davis’ Nano Particle Research at Princeton University

    Richard L. Axelbaum p3-3 from Clearwater Clean Energy Conference 2022
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  • Kevin Davis’s Postdoctoral Research at Sandia National Labs

    Coal Technologies Associates

    Kevin Davis’s Postdoctoral Research at Sandia National Labs

    Christopher R. Shaddix p4-4 from Clearwater Clean Energy Conference 2022
    Our Price: $30.00
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