Paper

  • Axial Flaw and Crack Detection in Multi-Diameter Low-Pressure Gas Pipelines

    Clarion Technical Conferences

    Axial Flaw and Crack Detection in Multi-Diameter Low-Pressure Gas Pipelines

    Lance Wethey, John Nonemaker, Peter Clyde p1339-1350 from 35th International Pipeline Pigging and Integrity Management Conference (PPIM 2023)
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  • Axial Strain Evaluation and Integration into Geohazard Management Program

    Clarion Technical Conferences

    Axial Strain Evaluation and Integration into Geohazard Management Program

    Sylvain Cornu, Jeff Haferd p641-658 from 37th International Pipeline Pigging and Integrity Management Conference (PPIM 2025)
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  • Axioms for AI Alignment from Human Feedback

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Axioms for AI Alignment from Human Feedback

    Luise Ge, Daniel Halpern, Evi Micha, Ariel Procaccia, Itai Shapira, Yevgeniy Vorobeychik, Junlin Wu p80439-80465 from Advances in Neural Information Processing Systems 37
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  • B Enterprise's Agricultural Product Distribution Center Site Selection Study

    Aussino Academic Publishing House (AAPH)

    B Enterprise's Agricultural Product Distribution Center Site Selection Study

    TONG Zeping, CHEN Ke p187-194 from 14th International Conference on Logistics and Systems Engineering (ICLSE 2024)
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  • B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    B'MOJO: Hybrid State Space Realizations of Foundation Models with Eidetic and Fading Memory

    Alessandro Achille, Benjamin Bowman, Yonatan Dukler, Aditya Golatkar, Arjun Seshadri, Yantao Shen, Stefano Soatto, Matthew Trager, Luca Zancato p130433-130462 from Advances in Neural Information Processing Systems 37
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  • B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    B-ary Tree Push-Pull Method is Provably Efficient for Distributed Learning on Heterogeneous Data

    Shi Pu, Runze You p97523-97561 from Advances in Neural Information Processing Systems 37
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  • B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    B-cosification: Transforming Deep Neural Networks to be Inherently Interpretable

    Shreyash Arya, Moritz Böhle, Sukrut Rao, Bernt Schiele p62756-62786 from Advances in Neural Information Processing Systems 37
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  • BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    BABILong: Testing the Limits of LLMs with Long Context Reasoning-in-a-Haystack

    Petr Anokhin, Aydar Bulatov, Mikhail Burtsev, Yuri Kuratov, Ivan Rodkin, Artyom Sorokin, Dmitry Sorokin p106519-106554 from Advances in Neural Information Processing Systems 37
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  • Back Analysis of Thermal Conductivity of Materials Based on Finite Element Method

    Aussino Academic Publishing House (AAPH)

    Back Analysis of Thermal Conductivity of Materials Based on Finite Element Method

    Xiuyun Zhao, Jian Wang p944-948 from 11th International Symposium on Project Management (ISPM2023)
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  • Back to the Continuous Attractor

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Back to the Continuous Attractor

    Guillermo Martín-Sánchez, Il Park, Ábel Ságodi, Piotr Sokół p66856-66906 from Advances in Neural Information Processing Systems 37
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  • Back to the Future: Achieving Resilient, Sustainable Grasslands Through Restoration of Ecological Norms Overview – the Problem, the Opportunity

    International Grassland Congress 2023

    Back to the Future: Achieving Resilient, Sustainable Grasslands Through Restoration of Ecological Norms Overview – the Problem, the Opportunity

    P. Keyser, C. Bitler p182-185 from XXV International Grassland Congress (IGC 2023)
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  • Back to the Future: Achieving Resilient, Sustainable Grasslands Through Restoration of Ecological Norms: the Soil Health Properties of Native Grasslands

    International Grassland Congress 2023

    Back to the Future: Achieving Resilient, Sustainable Grasslands Through Restoration of Ecological Norms: the Soil Health Properties of Native Grasslands

    C. Bitler, P. Keyser p60-63 from XXV International Grassland Congress (IGC 2023)
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