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    World Conference on Timber Engineering 2023 (WCTE 2023)

    LIFE CYCLE ASSESSMENT ON DIFFERENT TIMBER BRIDGE TYPES: DECK BRIDGE, BLOCK GIRDER BRIDGE, TROUGH BRIDGE, PYLON BRIDGE

    Ă–zlem Ă–zdemir, Annette Hafner p935-940 from World Conference on Timber Engineering (WCTE 2023)
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  • LIFE CYCLE CARBON FOOTPRINT ANALYSIS OF CROSS-LAMINATED TIMBER MULTI-STOREY BUILDING: IMPACT OF MATERIAL OPTIMISATION AND SUBSTITUTION STRATEGIES

    World Conference on Timber Engineering 2025

    LIFE CYCLE CARBON FOOTPRINT ANALYSIS OF CROSS-LAMINATED TIMBER MULTI-STOREY BUILDING: IMPACT OF MATERIAL OPTIMISATION AND SUBSTITUTION STRATEGIES

    Ambrose Dodoo, Fatuma Omer Ali, Neda Bozorgirad, Felix Quarcoo, Carl Larsson p3504-3511 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Lifelong Neural Predictive Coding: Learning Cumulatively Online Without Forgetting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lifelong Neural Predictive Coding: Learning Cumulatively Online Without Forgetting

    Alex Ororbia, Ankur Mali, C Lee Giles, Daniel Kifer p5867-5881 from Advances in Neural Information Processing Systems 35
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  • LIFESHELL: CLT FURNITURE AS LIFE-SAVING TECHNOLOGIES

    World Conference on Timber Engineering 2025

    LIFESHELL: CLT FURNITURE AS LIFE-SAVING TECHNOLOGIES

    Edoardo Giacobbo, Jarno Bontadi, Andrea Polastri p4053-4061 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lift Yourself Up: Retrieval-augmented Text Generation with Self-Memory

    Xin Cheng, Di Luo, Xiuying Chen, Lemao Liu, Dongyan Zhao, Rui Yan p43780-43799 from Advances in Neural Information Processing Systems 36
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  • LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks

    Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-Yong Sohn, Dimitris Papailiopoulos, Kangwook Lee p11763-11784 from Advances in Neural Information Processing Systems 35
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  • Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lifting the Information Ratio: An Information-Theoretic Analysis of Thompson Sampling for Contextual Bandits

    Gergely Neu, Iuliia Olkhovskaia, Matteo Papini, Ludovic Schwartz p9486-9498 from Advances in Neural Information Processing Systems 35
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  • Lifting Weak Supervision to Structured Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lifting Weak Supervision to Structured Prediction

    Harit Vishwakarma, Frederic Sala p37563-37574 from Advances in Neural Information Processing Systems 35
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  • Light Unbalanced Optimal Transport

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Light Unbalanced Optimal Transport

    Milena Gazdieva, Arip Asadulaev, Evgeny Burnaev, Alexander Korotin p93907-93938 from Advances in Neural Information Processing Systems 37
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  • LIGHT-FRAME TIMBER SHEAR-WALLS WITH DIAGONAL BOARD SHEATHING: EXPERIMENTAL AND NUMERICAL INVESTIGATION

    World Conference on Timber Engineering 2023 (WCTE 2023)

    LIGHT-FRAME TIMBER SHEAR-WALLS WITH DIAGONAL BOARD SHEATHING: EXPERIMENTAL AND NUMERICAL INVESTIGATION

    Alessandro Setti, Daniele Casagrande, Andrea Polastri, Riccardo Fanti, Maurizio Follesa, Ezio Riggi p3492-3498 from World Conference on Timber Engineering (WCTE 2023)
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  • LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LightGaussian: Unbounded 3D Gaussian Compression with 15x Reduction and 200+ FPS

    Zhiwen Fan, Kevin Wang, Kairun Wen, Zehao Zhu, Dejia Xu, Zhangyang Wang p140138-140158 from Advances in Neural Information Processing Systems 37
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  • Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis

    Xin Jin, Pengyi Jiao, Zheng-Peng Duan, Xingchao Yang, Chongyi Li, Chun-Le Guo, Bo Ren p80191-80219 from Advances in Neural Information Processing Systems 37
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