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    World Conference on Timber Engineering 2023 (WCTE 2023)

    LOAD LEVELS AND CRITICAL DESIGN ISSUES IN A MULTI-STOREY RESIDENTIAL TIMBER BUILDING BUILT UP BY PREFABRICATED VOLUMETRIC ELEMENTS

    Johan Vessby, Tomas Forsberg, Marie Johansson, Rajan Maharjan p4439-4446 from World Conference on Timber Engineering (WCTE 2023)
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  • LOADING TEST OF CLT-SHEAR WALL CONNECTED WITH STEEL BAR-TIMBER COMPOSITE COLUMN DISSIPATING HIGH-ENERGY

    World Conference on Timber Engineering 2023 (WCTE 2023)

    LOADING TEST OF CLT-SHEAR WALL CONNECTED WITH STEEL BAR-TIMBER COMPOSITE COLUMN DISSIPATING HIGH-ENERGY

    Takumi Suyama, Riko Kawasaki, Atsuya Kawasoe, Tomokazu Yoshioka, Shinichi Shioya p3465-3474 from World Conference on Timber Engineering (WCTE 2023)
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  • Loads Associated with Behind Helmet Blunt Trauma: Matched-Pair Load Sensing Headform Tests Correlated with Skull Fracture Severity

    Royal Military Academy (Belgium)

    Loads Associated with Behind Helmet Blunt Trauma: Matched-Pair Load Sensing Headform Tests Correlated with Skull Fracture Severity

    A. Iwaskiw, C. Howes, R. Hingorani, C. Bradfield, E. Mazuchowski, M. Clark, Q. Luong, D. Drewry p65-74 from 16th Personal Armour Systems Symposium (PASS 2023)
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  • LobsDICE: Offline Learning from Observation Via Stationary Distribution Correction Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    LobsDICE: Offline Learning from Observation Via Stationary Distribution Correction Estimation

    Youngsoo Jang, Geon-Hyeong Kim, Kee-Eung Kim, Jongmin Lee, Hongseok Yang p8252-8264 from Advances in Neural Information Processing Systems 35
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  • Local and Adaptive Mirror Descents in Extensive-Form Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Local and Adaptive Mirror Descents in Extensive-Form Games

    Côme Fiegel, Tadashi Kozuno, Pierre Ménard, Rémi Munos, Vianney Perchet, Michal Valko p56703-56737 from Advances in Neural Information Processing Systems 37
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  • Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Local Anti-Concentration Class: Logarithmic Regret for Greedy Linear Contextual Bandit

    Seok-Jin Kim, Min-hwan Oh p77525-77592 from Advances in Neural Information Processing Systems 37
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  • Local Bayesian Optimization Via Maximizing Probability of Descent

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Local Bayesian Optimization Via Maximizing Probability of Descent

    Jacob Gardner, Roman Garnett, Quan Nguyen, Kaiwen Wu p13190-13202 from Advances in Neural Information Processing Systems 35
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  • Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices

    Lénaïc Chizat, Guillaume Wang p60841-60852 from Advances in Neural Information Processing Systems 36
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  • Local Curvature Smoothing with Stein's Identity for Efficient Score Matching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Local Curvature Smoothing with Stein's Identity for Efficient Score Matching

    Takashi Nishide, Genki Osada, Makoto Shing p57793-57816 from Advances in Neural Information Processing Systems 37
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  • LOCAL DAMAGE ASSESSMENT STRATEGY OF A TWO-STORY CLT WALL THROUGH VIBRATION-BASED NON-DESTRUCTIVE TECHNIQUES

    World Conference on Timber Engineering 2023 (WCTE 2023)

    LOCAL DAMAGE ASSESSMENT STRATEGY OF A TWO-STORY CLT WALL THROUGH VIBRATION-BASED NON-DESTRUCTIVE TECHNIQUES

    Alexander Opazo-Vega, Franco Benedetti, Alan Jara-Cisterna, Peter Dechent p1953-1959 from World Conference on Timber Engineering (WCTE 2023)
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  • Local Identifiability of Deep ReLU Neural Networks: The Theory

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Local Identifiability of Deep ReLU Neural Networks: The Theory

    Francois Bachoc, Joachim Bona-Pellissier, François Malgouyres p27549-27562 from Advances in Neural Information Processing Systems 35
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  • Local Latent Space Bayesian Optimization Over Structured Inputs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Local Latent Space Bayesian Optimization Over Structured Inputs

    John Bradshaw, Jacob Gardner, Haydn Jones, Matt Kusner, Natalie Maus, Juston Moore p34505-34518 from Advances in Neural Information Processing Systems 35
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