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  • RECORDED NATURAL FREQUENCIES OF TIMBER BUILDINGS – A REVIEW

    World Conference on Timber Engineering 2025

    RECORDED NATURAL FREQUENCIES OF TIMBER BUILDINGS – A REVIEW

    Carl Larsson, Blaž Kurent, Osama Abdeljaber, Boštjan Brank, Michael Dorn p2538-2544 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • RECOVERED TIMBER GRADING SYSTEM

    World Conference on Timber Engineering 2025

    RECOVERED TIMBER GRADING SYSTEM

    Daniel F. Llana, Goran Turk, Carlos Osuna-Sequera, Guillermo Iñiguez-González p3460-3465 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Recovering Complete Actions for Cross-dataset Skeleton Action Recognition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Recovering Complete Actions for Cross-dataset Skeleton Action Recognition

    Hanchao Liu, Yujiang Li, Tai-Jiang Mu, Shi-Min Hu p92055-92081 from Advances in Neural Information Processing Systems 37
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  • Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Recovering from Out-of-sample States via Inverse Dynamics in Offline Reinforcement Learning

    Ke Jiang, Jia-Yu Yao, Xiaoyang Tan p38815-38826 from Advances in Neural Information Processing Systems 36
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  • Recovering Private Text in Federated Learning of Language Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Recovering Private Text in Federated Learning of Language Models

    Samyak Gupta, Yangsibo Huang, Zexuan Zhong, Tianyu Gao, Kai Li, Danqi Chen p8130-8143 from Advances in Neural Information Processing Systems 35
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  • Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares

    Christian Kümmerle, Johannes Maly p71799-71833 from Advances in Neural Information Processing Systems 36
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  • Recovering Unbalanced Communities in the Stochastic Block Model with Application to Clustering with a Faulty Oracle

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Recovering Unbalanced Communities in the Stochastic Block Model with Application to Clustering with a Faulty Oracle

    Chandra Sekhar Mukherjee, Pan Peng, Jiapeng Zhang p20540-20561 from Advances in Neural Information Processing Systems 36
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  • Recruitment Strategies that Take a Chance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Recruitment Strategies that Take a Chance

    Gregory Kehne, Ariel Procaccia, Jingyan Wang p34887-34898 from Advances in Neural Information Processing Systems 35
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  • RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    RectifID: Personalizing Rectified Flow with Anchored Classifier Guidance

    Zhicheng Sun, Zhenhao Yang, Yang Jin, Haozhe Chi, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Yang Song, Kun Gai, Yadong Mu p96993-97026 from Advances in Neural Information Processing Systems 37
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  • Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Recurrent Complex-Weighted Autoencoders for Unsupervised Object Discovery

    Anand Gopalakrishnan, Aleksandar Stanic, Jürgen Schmidhuber, Michael Mozer p140787-140811 from Advances in Neural Information Processing Systems 37
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  • Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms

    Surbhi Goel, Sham Kakade, Adam Kalai, Cyril Zhang p7328-7341 from Advances in Neural Information Processing Systems 35
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  • Recurrent Hypernetworks are Surprisingly Strong in Meta-RL

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Recurrent Hypernetworks are Surprisingly Strong in Meta-RL

    Jacob Beck, Risto Vuorio, Zheng Xiong, Shimon Whiteson p62121-62138 from Advances in Neural Information Processing Systems 36
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