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    World Conference on Timber Engineering 2023 (WCTE 2023)

    PATINA AND ITS FORMATION ON A WOODEN CHURCH FLOOR - CASE PETÄJÄVESI OLD CHURCH AND VIIKKI CHURCH IN HELSINKI

    Jonna Silvo p593-598 from World Conference on Timber Engineering (WCTE 2023)
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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Paxion: Patching Action Knowledge in Video-Language Foundation Models

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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pay Attention to Your Loss : Understanding Misconceptions About 1-Lipschitz Neural Networks

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    Association for Unmanned Vehicle Systems International (AUVSI)

    PAYLOAD DELIVERY TO OFFSHORE WIND TURBINES USING UNMANNED HELICOPTERS

    C. Eck, C. Zgraggen, M. Birrer, A. la Cour-Harbo p117-125 from XPONENTIAL 2024
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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Payoff-based Learning with Matrix Multiplicative Weights in Quantum Games

    Kyriakos Lotidis, Panayotis Mertikopoulos, Nicholas Bambos, Jose Blanchet p37942-37974 from Advances in Neural Information Processing Systems 36
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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    pcaGAN: Improving Posterior-Sampling cGANs via Principal Component Regularization

    Matthew Bendel, Rizwan Ahmad, Philip Schniter p138859-138890 from Advances in Neural Information Processing Systems 37
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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PCF-GAN: generating sequential data via the characteristic function of measures on the path space

    Hang Lou, Siran Li, Hao Ni p39755-39781 from Advances in Neural Information Processing Systems 36
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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PCoTTA: Continual Test-Time Adaptation for Multi-Task Point Cloud Understanding

    Jincen Jiang, Qianyu Zhou, Yuhang Li, Xinkui Zhao, Meili Wang, Lizhuang Ma, Jian Chang, Jian Zhang, Xuequan Lu p96229-96253 from Advances in Neural Information Processing Systems 37
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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders

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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PDE-Refiner: Achieving Accurate Long Rollouts with Neural PDE Solvers

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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PDEBench: An Extensive Benchmark for Scientific Machine Learning

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  • PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation

    Yuhan Ding, Fukun Yin, Jiayuan Fan, Hui Li, Xin Chen, Wen Liu, Chongshan Lu, Gang Yu, Tao Chen p84-96 from Advances in Neural Information Processing Systems 36
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