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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

    C Lee Giles, Daniel Kifer, Ankur Mali, Alex Ororbia 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

    Xiuying Chen, Xin Cheng, Lemao Liu, Di Luo, Rui Yan, Dongyan Zhao 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, Michael Gira, Kangwook Lee, Ziqian Lin, Dimitris Papailiopoulos, Shashank Rajput, Jy-Yong Sohn, Yuchen Zeng, Ruisu Zhang 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

    Frederic Sala, Harit Vishwakarma 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

    Arip Asadulaev, Evgeny Burnaev, Milena Gazdieva, 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, Zhangyang Wang, Kairun Wen, Dejia Xu, Zehao Zhu 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

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