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  • FOSTERING INTERDISCIPLINARY INNOVATIONS BY DESIGN-BUILD PROJECT WITH DIGITAL FABRICATION TECHNOLOGIES

    World Conference on Timber Engineering 2025

    FOSTERING INTERDISCIPLINARY INNOVATIONS BY DESIGN-BUILD PROJECT WITH DIGITAL FABRICATION TECHNOLOGIES

    Yutaka Goto, Samuel Norberg, Bruno Gonçalves, Robert Jockwer, Hseng Tai Lintner, Jonas Lundberg p5188-5197 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Found in the Middle: How Language Models Use Long Contexts Better via Plug-and-Play Positional Encoding

    Zhenyu Zhang, Runjin Chen, Shiwei Liu, Zhewei Yao, Olatunji Ruwase, Beidi Chen, Xiaoxia Wu, Zhangyang Wang p60755-60775 from Advances in Neural Information Processing Systems 37
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  • Foundation Inference Models for Markov Jump Processes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Foundation Inference Models for Markov Jump Processes

    David Berghaus, Kostadin Cvejoski, Patrick Seifner, César Ojeda, Ramsés Sánchez p129407-129442 from Advances in Neural Information Processing Systems 37
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  • Foundation Model is Efficient Multimodal Multitask Model Selector

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Foundation Model is Efficient Multimodal Multitask Model Selector

    Fanqing Meng, Wenqi Shao, Zhanglin Peng, Chonghe Jiang, Kaipeng Zhang, Yu Qiao, Ping Luo p33065-33094 from Advances in Neural Information Processing Systems 36
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  • Foundation Posteriors for Approximate Probabilistic Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Foundation Posteriors for Approximate Probabilistic Inference

    Mike Wu, Noah Goodman p5335-5347 from Advances in Neural Information Processing Systems 35
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  • Foundations of Multivariate Distributional Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Foundations of Multivariate Distributional Reinforcement Learning

    Harley Wiltzer, Jesse Farebrother, Arthur Gretton, Mark Rowland p101297-101336 from Advances in Neural Information Processing Systems 37
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  • FouRA: Fourier Low-Rank Adaptation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FouRA: Fourier Low-Rank Adaptation

    Shubhankar Borse, Shreya Kadambi, Nilesh Pandey, Kartikeya Bhardwaj, Viswanath Ganapathy, Sweta Priyadarshi, Risheek Garrepalli, Rafael Esteves, Munawar Hayat, Fatih Porikli p71504-71539 from Advances in Neural Information Processing Systems 37
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  • FouriDown: Factoring Down-Sampling into Shuffling and Superposing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FouriDown: Factoring Down-Sampling into Shuffling and Superposing

    Qi Zhu, Man Zhou, Jie Huang, Naishan Zheng, Hongzhi Gao, Chongyi Li, Yuan Xu, Feng Zhao p14094-14112 from Advances in Neural Information Processing Systems 36
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  • Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting

    Chiu-Wai Yan, Shi Foo, Van Trinh, Dit-Yan Yeung, Ka-Hing Wong, Wai-Kin Wong p100007-100041 from Advances in Neural Information Processing Systems 37
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  • Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion

    Yu-Jie Liang, Zihan Cao, Shangqi Deng, Hong-Xia Dou, Liang-Jian Deng p63441-63465 from Advances in Neural Information Processing Systems 37
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  • FourierFormer: Transformer Meets Generalized Fourier Integral Theorem

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FourierFormer: Transformer Meets Generalized Fourier Integral Theorem

    Tan Nguyen, Minh Pham, Tam Nguyen, Khai Nguyen, Stanley Osher, Nhat Ho p29319-29335 from Advances in Neural Information Processing Systems 35
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  • FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective

    Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu p69638-69660 from Advances in Neural Information Processing Systems 36
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