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, Jenelle Feather, Albert Wakhloo, Sueyeon Chung 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

    Ted Moskovitz, Samo Hromadka, Ahmed Touati, Diana Borsa, Maneesh Sahani 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

    Zahra Gharaee, Zeming Gong, Nicholas Pellegrino, Iuliia Zarubiieva, Joakim Bruslund Haurum, Scott Lowe, Jaclyn McKeown, Chris Ho, Joschka McLeod, Yi-Yun Wei, Jireh Agda, Sujeevan Ratnasingham, Dirk Steinke, Angel Chang, Graham Taylor, Paul Fieguth 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

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