Paper

  • Agnostically Learning Single-Index Models using Omnipredictors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Agnostically Learning Single-Index Models using Omnipredictors

    Aravind Gollakota, Parikshit Gopalan, Adam Klivans, Konstantinos Stavropoulos p14685-14704 from Advances in Neural Information Processing Systems 36
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  • AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    AgraSSt: Approximate Graph Stein Statistics for Interpretable Assessment of Implicit Graph Generators

    Gesine D Reinert, Wenkai Xu p24268-24279 from Advances in Neural Information Processing Systems 35
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  • Agreement-On-The-Line: Predicting the Performance of Neural Networks Under Distribution Shift

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Agreement-On-The-Line: Predicting the Performance of Neural Networks Under Distribution Shift

    Christina Baek, Yiding Jiang, J. Zico Kolter, Aditi Raghunathan p19274-19289 from Advances in Neural Information Processing Systems 35
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  • Agricultural Performance of Diverse Pastures of Complementary Species and Monoculture Pastures Defoliated According to the Leaf Regrowth Stage Window of Opportunity Criterion

    International Grassland Congress 2023

    Agricultural Performance of Diverse Pastures of Complementary Species and Monoculture Pastures Defoliated According to the Leaf Regrowth Stage Window of Opportunity Criterion

    B. A. Oliveira, I. F. López, L. M. Cranston, D. J. Donaghy, P. D. Kemp, J. Dörner p1283-1286 from XXV International Grassland Congress (IGC 2023)
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  • Agricultural Products Logistics Demand Forecasting of Hubei Province Based on GGB Combined Model

    Aussino Academic Publishing House (AAPH)

    Agricultural Products Logistics Demand Forecasting of Hubei Province Based on GGB Combined Model

    Zeping Tong, Huan Wang p290-301 from 13th International Conference on Logistics and Systems Engineering 2024
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  • Agrospace Business: A New Frontier for Economic and Environmental Regeneration Through Space and Oceanic Technologies in Global Agribusiness

    International Astronautical Federation (IAF)

    Agrospace Business: A New Frontier for Economic and Environmental Regeneration Through Space and Oceanic Technologies in Global Agribusiness

    Johnny Hsu, Rodolfo Barriviera, Marcia Reis p57-199 from IAF Businesses and Innovation Symposium
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  • AGV Resource Scheduling Optimization Technology Based on PSO

    Aussino Academic Publishing House (AAPH)

    AGV Resource Scheduling Optimization Technology Based on PSO

    Wujun Yu, Hongfei Zhan p1127-1131 from 11th International Symposium on Project Management (ISPM2023)
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  • AHA: Human-Assisted Out-of-Distribution Generalization and Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    AHA: Human-Assisted Out-of-Distribution Generalization and Detection

    Haoyue Bai, Robert Nowak, Jifan Zhang p33863-33890 from Advances in Neural Information Processing Systems 37
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  • AI and Classical Approaches to Estimating Solid Fuel Regression Rate in Hybrid Rocket Engines

    International Astronautical Federation (IAF)

    AI and Classical Approaches to Estimating Solid Fuel Regression Rate in Hybrid Rocket Engines

    Gabriel Metre Resende, Artur Bertoldi, Olexiy Shynkarenko, Jungpyo Lee p1746-1751 from IAF Space Propulsion Symposium
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  • AI as an Astronaut? Evaluating AI-Driven Autonomous Crews for Deep-Space Missions

    International Astronautical Federation (IAF)

    AI as an Astronaut? Evaluating AI-Driven Autonomous Crews for Deep-Space Missions

    Samiksha Raviraja p592-603 from IAF Human Spaceflight Symposium
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  • AI Based Crater Detection on Moon and Planetary Surfaces

    International Astronautical Federation (IAF)

    AI Based Crater Detection on Moon and Planetary Surfaces

    Sai Venkata Lakshmi A p231-242 from AI Impact & Autonomy on Space Exploration
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  • Ai Driven Laser Wireless Power Transmission Revolutionizing Energy Sharing for Space Exploration

    International Astronautical Federation (IAF)

    Ai Driven Laser Wireless Power Transmission Revolutionizing Energy Sharing for Space Exploration

    Zaman Kazimov, Huseyn Israfilov p527-531 from IAF Space Power Symposium
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