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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    4M-21: An Any-to-Any Vision Model for Tens of Tasks and Modalities

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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    4Real: Towards Photorealistic 4D Scene Generation via Video Diffusion Models

    Junli Cao, László Jeni, Hsin-Ying Lee, Willi Menapace, Aliaksandr Siarohin, Sergey Tulyakov, Chaoyang Wang, Heng Yu, Peiye Zhuang p45256-45280 from Advances in Neural Information Processing Systems 37
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  • 60-MINUTE COMBUSTION TEST UNDER LOADING OF STEEL BAR-TIMBER COMPOSITE BEAMS

    World Conference on Timber Engineering 2025

    60-MINUTE COMBUSTION TEST UNDER LOADING OF STEEL BAR-TIMBER COMPOSITE BEAMS

    Shinichi Shioya, Shizuka Matsushita p5752-5760 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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    World Conference on Timber Engineering 2023 (WCTE 2023)

    6X6X6: INTRODUCING THE CONCEPT OF REUSE OF TIMBER MATERIALS IN THE 1ST YEAR OF ARCHITECTURAL EDUCATION

    Colm O'Brien, Anna Røtnes, Mads Øiern, Petter Kveseth, Lone Sjøli, Sindre Wam, Katherina Putzer, Kristoffer Røgeberg p4571-4575 from World Conference on Timber Engineering (WCTE 2023)
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  • A 3D DUCTILE-NOTCHED CONNECTION FOR TIMBER-CONCRETE COMPOSITE BEAM : EXPERIMENTAL INVESTIGATION

    World Conference on Timber Engineering 2023 (WCTE 2023)

    A 3D DUCTILE-NOTCHED CONNECTION FOR TIMBER-CONCRETE COMPOSITE BEAM : EXPERIMENTAL INVESTIGATION

    Adham Al Rahim, Piseth Heng, Clemence Lepourry, Hugues Somja, Franck Palas p3342-3350 from World Conference on Timber Engineering (WCTE 2023)
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    World Conference on Timber Engineering 2025

    A 3D PRINTED JOINING SYSTEM FOR ASSEMBLING RECIPROCAL FRAME STRUCTURES WITH IRREGULAR NATURAL WOOD

    Yusuke Hozumi, Yuki Takahashi, Yuji Miyazu p1752-1758 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Batch-to-Online Transformation under Random-Order Model

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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Bayesian Approach for Personalized Federated Learning in Heterogeneous Settings

    Joydeep Ghosh, Nhat Ho, Disha Makhija p102428-102455 from Advances in Neural Information Processing Systems 37
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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Bayesian Approach To Analysing Training Data Attribution In Deep Learning

    Elisa Nguyen, Seong Joon Oh, Minjoon Seo p64155-64180 from Advances in Neural Information Processing Systems 36
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    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Bayesian Approach to Data Point Selection

    Timothy Hospedales, Minyoung Kim, Royson Lee, Brais Martinez, Xinnuo Xu p38171-38198 from Advances in Neural Information Processing Systems 37
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