Paper

  • A Space-Based Optical Rapid Celestial Positioning Method for Space Debris Orbit Determination

    International Astronautical Federation (IAF)

    A Space-Based Optical Rapid Celestial Positioning Method for Space Debris Orbit Determination

    Pei Liu, Silu Xu, Pei Chen p1193-1203 from 23rd IAA Symposium on Space Debris
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  • A Special Insulated Pass-Through for Cryogenics

    International Astronautical Federation (IAF)

    A Special Insulated Pass-Through for Cryogenics

    Andrea Zanin p1445-1449 from IAF Materials and Structures Symposium
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  • A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm

    Ilias Diakonikolas, Daniel Kane, Jasper Lee, Ankit Pensia, Thanasis Pittas p48819-48854 from Advances in Neural Information Processing Systems 36
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  • A Spectral Approach to Item Response Theory

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Spectral Approach to Item Response Theory

    Duc Nguyen, Anderson Ye Zhang p38818-38830 from Advances in Neural Information Processing Systems 35
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  • A Spectral Theory of Neural Prediction and Alignment

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Spectral Theory of Neural Prediction and Alignment

    Abdulkadir Canatar, Sueyeon Chung, Jenelle Feather, Albert Wakhloo p47052-47080 from Advances in Neural Information Processing Systems 36
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  • A Stable Equilibrium for the LEO Orbital Capacity

    International Astronautical Federation (IAF)

    A Stable Equilibrium for the LEO Orbital Capacity

    Indigo Brownhall, Giovanni Lavezzi, Daniel Jang, Miles Lifson, Santosh Bhattarai, Richard Linares p995-1004 from 22nd IAA Symposium on Space Debris
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  • A State Representation for Diminishing Rewards

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A State Representation for Diminishing Rewards

    Diana Borsa, Samo Hromadka, Ted Moskovitz, Maneesh Sahani, Ahmed Touati p45197-45234 from Advances in Neural Information Processing Systems 36
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  • A state-based maintenance policy optimization for two-stage degradation systems considering imperfect inspections

    Aussino Academic Publishing House (AAPH)

    A state-based maintenance policy optimization for two-stage degradation systems considering imperfect inspections

    Shihan Zhou, Jiantai Wang, Xiaobing Ma, Li Yang p110-115 from 10th International Symposium on Project Management (ISPM2022)
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  • A State-Of-The-Art Review of Geographic Information System Applications, the Main Criteria of Selection, and Available Data that May Be Used in the Process

    ECOS 2023

    A State-Of-The-Art Review of Geographic Information System Applications, the Main Criteria of Selection, and Available Data that May Be Used in the Process

    Krzysztof Szczepaniec, Fergal O'Rourke, Peter Ryan p1713-1724 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • A Statistical Online Inference Approach in Averaged Stochastic Approximation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Statistical Online Inference Approach in Averaged Stochastic Approximation

    Chuhan Xie, Zhihua Zhang p8998-9009 from Advances in Neural Information Processing Systems 35
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  • A Step Towards Worldwide Biodiversity Assessment:  The BIOSCAN-1M Insect Dataset

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Step Towards Worldwide Biodiversity Assessment: The BIOSCAN-1M Insect Dataset

    Jireh Agda, Angel Chang, Paul Fieguth, Zahra Gharaee, Zeming Gong, Joakim Bruslund Haurum, Chris Ho, Scott Lowe, Jaclyn McKeown, Joschka McLeod, Nicholas Pellegrino, Sujeevan Ratnasingham, Dirk Steinke, Graham Taylor, Yi-Yun Wei, Iuliia Zarubiieva p43593-43619 from Advances in Neural Information Processing Systems 36
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  • A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization

    Xiaodong Cui, Mingyi Hong, Lior Horesh, Brian Kingsbury, Jia Liu, Songtao Lu, Mark Squillante, Siliang Zeng p30638-30650 from Advances in Neural Information Processing Systems 35
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