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    World Conference on Timber Engineering 2025

    HIGH CYCLE FATIGUE AND STIFFNESS DEGRADATION OF A CROSS-LAMINATED TIMBER SCREWED CONNECTION

    Lancelot Reres, Weichiang Peng p3745-3753 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • High dimensional, tabular deep learning with an auxiliary knowledge graph

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High dimensional, tabular deep learning with an auxiliary knowledge graph

    Kexin Huang, Jure Leskovec, Hongyu Ren, Camilo Ruiz p26348-26371 from Advances in Neural Information Processing Systems 36
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  • High Precision Causal Model Evaluation with Conditional Randomization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High Precision Causal Model Evaluation with Conditional Randomization

    Chao Ma, Cheng Zhang p52615-52627 from Advances in Neural Information Processing Systems 36
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  • High Rank Path Development: an approach to learning the filtration of stochastic processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High Rank Path Development: an approach to learning the filtration of stochastic processes

    Chong Liu, Hao Ni, Jiajie Tao p115309-115350 from Advances in Neural Information Processing Systems 37
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  • HIGH TEMPERATURE SEWAGE HEAT PUMP AS A WAY TO INCREASE SHARE OF RENEWABLES IN DISTRICT HEATING – CASE STUDY

    ECOS 2024

    HIGH TEMPERATURE SEWAGE HEAT PUMP AS A WAY TO INCREASE SHARE OF RENEWABLES IN DISTRICT HEATING – CASE STUDY

    Piotr Krawczyk, Aleksandra Dzido p2381-2387 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • High-dimensional (Group) Adversarial Training in Linear Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High-dimensional (Group) Adversarial Training in Linear Regression

    Xiaoming Huo, Yiling Xie p31708-31735 from Advances in Neural Information Processing Systems 37
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  • High-Dimensional Additive Gaussian Processes Under Monotonicity Constraints

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High-Dimensional Additive Gaussian Processes Under Monotonicity Constraints

    Francois Bachoc, Andrés López-Lopera, Olivier Roustant p8041-8053 from Advances in Neural Information Processing Systems 35
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  • High-dimensional Asymptotics of Denoising Autoencoders

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High-dimensional Asymptotics of Denoising Autoencoders

    Hugo Cui, Lenka Zdeborová p11850-11890 from Advances in Neural Information Processing Systems 36
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  • High-Dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High-Dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation

    Jimmy Ba, Murat Erdogdu, Taiji Suzuki, Zhichao Wang, Denny Wu, Greg Yang p37932-37946 from Advances in Neural Information Processing Systems 35
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  • High-dimensional Contextual Bandit Problem without Sparsity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High-dimensional Contextual Bandit Problem without Sparsity

    Masaaki Imaizumi, Junpei Komiyama p49416-49427 from Advances in Neural Information Processing Systems 36
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  • High-Dimensional Limit Theorems for SGD: Effective Dynamics and Critical Scaling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High-Dimensional Limit Theorems for SGD: Effective Dynamics and Critical Scaling

    Gerard Ben Arous, Reza Gheissari, Aukosh Jagannath p25349-25362 from Advances in Neural Information Processing Systems 35
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  • High-Fidelity Audio Compression with Improved RVQGAN

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    High-Fidelity Audio Compression with Improved RVQGAN

    Ishaan Kumar, Kundan Kumar, Rithesh Kumar, Alejandro Luebs, Prem Seetharaman p27980-27993 from Advances in Neural Information Processing Systems 36
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