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    World Conference on Timber Engineering 2025

    EMPIRICAL FORMULA PREDICTING EMBEDMENT STRENGTH OF COCONUT WOOD

    Lili Jia, Vimesh Paudel, Hyungsuk Lim, Suthon Srivaro p4919-4925 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Empirical Gateaux Derivatives for Causal Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Empirical Gateaux Derivatives for Causal Inference

    Michael Jordan, Yixin Wang, Angela Zhou p8512-8525 from Advances in Neural Information Processing Systems 35
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  • Empirical Phase Diagram for Three-Layer Neural Networks with Infinite Width

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Empirical Phase Diagram for Three-Layer Neural Networks with Infinite Width

    Zhenyuan Jin, Tao Luo, Zhou Qixuan, Zhi-Qin Xu, Yaoyu Zhang, Hanxu Zhou p26021-26033 from Advances in Neural Information Processing Systems 35
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  • Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Empowering Active Learning for 3D Molecular Graphs with Geometric Graph Isomorphism

    Shayok Chakraborty, Wenhan Gao, Yi Liu, Ronast Subedi, Lu Wei p55507-55537 from Advances in Neural Information Processing Systems 37
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  • Empowering and Assessing the Utility of Large Language Models in Crop Science

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Empowering and Assessing the Utility of Large Language Models in Crop Science

    Renqi Chen, Nanqing Dong, Wei Liu, Wanli Ouyang, Jiawei Sun, Xiqing Wang, Zhefan Wang, Hang Yan, Fan Yang, Zhiyuan Yang, Zhonghang Yuan, Hang Zhang, Xinzhe Zheng, Hansen Zhong p52670-52722 from Advances in Neural Information Processing Systems 37
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  • Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Empowering Collaborative Filtering with Principled Adversarial Contrastive Loss

    Zhibo Cai, Tat-Seng Chua, Leheng Sheng, Xiang Wang, An Zhang p6242-6266 from Advances in Neural Information Processing Systems 36
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  • Empowering Convolutional Neural Nets with MetaSin Activation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Empowering Convolutional Neural Nets with MetaSin Activation

    Tunç Aydin, Guglielmo Camporese, André Gaillard, Farnood Salehi, Yuxuan Wang p9866-9890 from Advances in Neural Information Processing Systems 36
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  • EMPOWERING PROSUMERS IN DISTRICT HEATING NETWORKS: EXPERIMENTAL ANALYSIS AND PERFORMANCE EVALUATION OF A BIDIRECTIONAL SUBSTATION

    ECOS 2024

    EMPOWERING PROSUMERS IN DISTRICT HEATING NETWORKS: EXPERIMENTAL ANALYSIS AND PERFORMANCE EVALUATION OF A BIDIRECTIONAL SUBSTATION

    Federico Gianaroli, Mauro Pipiciello, Paolo Sdringola, Federico Trentin, Mattia Ricci, Biagio Di Pietra, Diego Menegon, Francesco Melino p1188-1199 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • Empowering Visible-Infrared Person Re-Identification with Large Foundation Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Empowering Visible-Infrared Person Re-Identification with Large Foundation Models

    Zhangyi Hu, Bin Yang, Mang Ye p117363-117387 from Advances in Neural Information Processing Systems 37
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  • Empowering Women Entrepreneurs in Rural Tourism: Challenges, Opportunities and the Role of Women-Owned Home Stays in Himachal Pradesh

    IRTTHI

    Empowering Women Entrepreneurs in Rural Tourism: Challenges, Opportunities and the Role of Women-Owned Home Stays in Himachal Pradesh

    Arun Singh Thakur, Akanksha Bhandari p223-230 from 2nd International Conference on Innovation and Regenerative Trends in Tourism and Hospitality Industry (IRTTHI 2025)
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  • EMR-Merging: Tuning-Free High-Performance Model Merging

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    EMR-Merging: Tuning-Free High-Performance Model Merging

    Tao Chen, Tong He, Chenyu Huang, Wanli Ouyang, Peng Ye, Xiangyu Yue p122741-122769 from Advances in Neural Information Processing Systems 37
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  • EMVP: Embracing Visual Foundation Model for Visual Place Recognition with Centroid-Free Probing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    EMVP: Embracing Visual Foundation Model for Visual Place Recognition with Centroid-Free Probing

    Haiming Gao, Xiaofei He, Qibo Qiu, Wenxiao Wang, Honghui Yang, Haochao Ying, Shun Zhang p120928-120950 from Advances in Neural Information Processing Systems 37
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