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    World Conference on Timber Engineering 2023 (WCTE 2023)

    A MULTI-PHASE HYGRO-THERMAL MODEL FOR WOODEN BRIDGE COMPONENTS EXPOSED TO SOLAR RADIATION

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  • A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Multi-Resolution Framework for U-Nets with Applications to Hierarchical VAEs

    Dominic Danks, George Deligiannidis, Arnaud Doucet, Fabian Falck, Chris C Holmes, Matthew Willetts, Christopher Williams, Christopher Yau p15529-15544 from Advances in Neural Information Processing Systems 35
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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction

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  • A Multilabel Classification Framework for Approximate Nearest Neighbor Search

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Multilabel Classification Framework for Approximate Nearest Neighbor Search

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    World Conference on Timber Engineering 2025

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  • A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Near-optimal Algorithm for Learning Margin Halfspaces with Massart Noise

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  • A Near-Optimal Best-Of-Both-Worlds Algorithm for Online Learning with Feedback Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Near-Optimal Best-Of-Both-Worlds Algorithm for Online Learning with Feedback Graphs

    Nicolò Cesa-Bianchi, Chloé Rouyer, Yevgeny Seldin, Dirk Van Der Hoeven p35035-35048 from Advances in Neural Information Processing Systems 35
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  • A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Near-Optimal Primal-Dual Method for Off-Policy Learning in CMDP

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  • A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation

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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Neural Collapse Perspective on Feature Evolution in Graph Neural Networks

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  • A Neural Corpus Indexer for Document Retrieval

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Neural Corpus Indexer for Document Retrieval

    Qi Chen, Chengmin Chi, Weiwei Deng, Yingyan Hou, Zheng Liu, Ziming Miao, Hao Sun, Haonan Wang, Yujing Wang, Shibin Wu, Yuqing Xia, Xing Xie, Mao Yang, Qi Zhang, Guoshuai Zhao p25600-25614 from Advances in Neural Information Processing Systems 35
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