Paper

  • Exploring the Role of Engineering Skills-Building Activities Amongst Youth in Rural Karnataka

    Research In Engineering Education Network

    Exploring the Role of Engineering Skills-Building Activities Amongst Youth in Rural Karnataka

    Heather R. Beem, David Asante-Asare, Pashington Obeng p205-213 from 10th Research in Engineering Education Symposium (REES 2024)
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  • Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring the Role of Large Language Models in Prompt Encoding for Diffusion Models

    Bingqi Ma, Zhuofan Zong, Guanglu Song, Hongsheng Li, Yu Liu p118428-118455 from Advances in Neural Information Processing Systems 37
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  • EXPLORING THE STRUCTURAL DESIGN, COST, AND DURABILITY OF MASS TIMBER NOISE BARRIER FOR HIGHWAY APPLICATIONS

    World Conference on Timber Engineering 2023 (WCTE 2023)

    EXPLORING THE STRUCTURAL DESIGN, COST, AND DURABILITY OF MASS TIMBER NOISE BARRIER FOR HIGHWAY APPLICATIONS

    Weichiang Pang, Michael Stoner, Harsh Bothra, Laura Redmond, Patricia Layton p914-919 from World Conference on Timber Engineering (WCTE 2023)
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  • Exploring the Svalbard Global Seed Vault: A Gateway to Global Food Security Publications

    IRTTHI

    Exploring the Svalbard Global Seed Vault: A Gateway to Global Food Security Publications

    Pankaj Mehta, Jagjit Singh p201-207 from 2nd International Conference on Innovation and Regenerative Trends in Tourism and Hospitality Industry (IRTTHI 2025)
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  • Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring the trade-off between deep-learning and explainable models for brain-machine interfaces

    Luis Cubillos, Guy Revach, Matthew Mender, Joseph Costello, Hisham Temmar, Aren Hite, Diksha Zutshi, Dylan Wallace, Xiaoyong Ni, Madison Kelberman, Matthew Willsey, Ruud Van Sloun, Nir Shlezinger, Parag Patil, Anne Draelos, Cynthia Chestek p133975-133998 from Advances in Neural Information Processing Systems 37
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  • Exploring the Whole Rashomon Set of Sparse Decision Trees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring the Whole Rashomon Set of Sparse Decision Trees

    Rui Xin, Chudi Zhong, Zhi Chen, Takuya Takagi, Margo Seltzer, Cynthia Rudin p14071-14084 from Advances in Neural Information Processing Systems 35
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  • Exploring Through Random Curiosity with General Value Functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring Through Random Curiosity with General Value Functions

    Aditya Ramesh, Louis Kirsch, Sjoerd Van Steenkiste, Jürgen Schmidhuber p18733-18748 from Advances in Neural Information Processing Systems 35
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  • Exploring Token Pruning in Vision State Space Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring Token Pruning in Vision State Space Models

    Zheng Zhan, Zhenglun Kong, Yifan Gong, Yushu Wu, Zichong Meng, Hangyu Zheng, Xuan Shen, Stratis Ioannidis, Wei Niu, Pu Zhao, Yanzhi Wang p50952-50971 from Advances in Neural Information Processing Systems 37
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  • Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations

    Laura Gustafson, Megan Richards, Melissa Hall, Caner Hazirbas, Diane Bouchacourt, Mark Ibrahim p24729-24753 from Advances in Neural Information Processing Systems 36
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  • eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    eXponential FAmily Dynamical Systems (XFADS): Large-scale nonlinear Gaussian state-space modeling

    Matthew Dowling, Yuan Zhao, Il Memming Park p13458-13488 from Advances in Neural Information Processing Systems 37
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  • Exponential Family Model-Based Reinforcement Learning Via Score Matching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exponential Family Model-Based Reinforcement Learning Via Score Matching

    Gene Li, Junbo Li, Anmol Kabra, Nati Srebro, Zhaoran Wang, Zhuoran Yang p28474-28487 from Advances in Neural Information Processing Systems 35
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  • Exponential Lower Bounds for Fictitious Play in Potential Games

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Exponential Lower Bounds for Fictitious Play in Potential Games

    Ioannis Panageas, Nikolas Patris, Stratis Skoulakis, Volkan Cevher p32401-32423 from Advances in Neural Information Processing Systems 36
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