Paper

  • A Cross-Moment Approach for Causal Effect Estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Cross-Moment Approach for Causal Effect Estimation

    Yaroslav Kivva, Negar Kiyavash, Saber Salehkaleybar p9944-9955 from Advances in Neural Information Processing Systems 36
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  • A CubeSat-Based On-Orbit Additive Manufacturing Experiment in LEO

    International Astronautical Federation (IAF)

    A CubeSat-Based On-Orbit Additive Manufacturing Experiment in LEO

    Priyanshu Kumar, Harshil Singla, Shanmugarajan B, Vikrant Salvi p54-57 from Microgravity Science and Experiments
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  • A Customized and Automated Assignment Management and Marking System for Evaluating Student Performance in the STEM Disciplines

    Research In Engineering Education Network

    A Customized and Automated Assignment Management and Marking System for Evaluating Student Performance in the STEM Disciplines

    Ashkan Shokri, Veronica Halupka, Michael Crocco, Valentijn Pauwels p111-119 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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  • A Cyber-Functional Architecture Framework for Space Systems: Balancing Security and Mission Success

    International Astronautical Federation (IAF)

    A Cyber-Functional Architecture Framework for Space Systems: Balancing Security and Mission Success

    Bruce Chesley, Jerry Sellers, Terri Johnson p408-414 from 58th IAA Symposium on Safety, Quality and Knowledge Management in Space Activities
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  • A Cyber-Physical System (cps) Supporting Large-Scale Satellite-Drone Hybrid Application Development

    International Astronautical Federation (IAF)

    A Cyber-Physical System (cps) Supporting Large-Scale Satellite-Drone Hybrid Application Development

    Soojeon Lee, Jeonggi Yang, Uihwan Choi, In Jun Kim, Yoola Hwang, Byoung-Sun Lee p95-99 from IAF Symposium on Integrated Applications
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  • A Damped Newton Method Achieves Global O (1/k2) and Local Quadratic Convergence Rate

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Damped Newton Method Achieves Global O (1/k2) and Local Quadratic Convergence Rate

    Alexander Gasnikov, Slavomír Hanzely, Dmitry Kamzolov, Dmitry Pasechnyuk, Peter Richtarik, Martin Takac p25320-25334 from Advances in Neural Information Processing Systems 35
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  • A Data-Augmentation is Worth a Thousand Samples: Analytical Moments and Sampling-Free Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Data-Augmentation is Worth a Thousand Samples: Analytical Moments and Sampling-Free Training

    Randall Balestriero, Yann Lecun, Ishan Misra p19631-19644 from Advances in Neural Information Processing Systems 35
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  • A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Data-Centric Perspective on Evaluating Machine Learning Models for Tabular Data

    Christian Bartelt, Stefan Lüdtke, Sascha Marton, Heiner Stuckenschmidt, Andrej Tschalzev p95896-95930 from Advances in Neural Information Processing Systems 37
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  • A Data-Driven Approach to Inclusion in Space and STEAM: Women and Indigenous Representation in Tlaxcala, Mexico

    International Astronautical Federation (IAF)

    A Data-Driven Approach to Inclusion in Space and STEAM: Women and Indigenous Representation in Tlaxcala, Mexico

    Celia Chavez Virgen p1113-1119 from IAF Space Education and Outreach Symposium
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  • A data-driven based validation and calibration approach to building energy simulation model for accurate pre-retrofit design predictions

    ECOS 2021 Program Organizers

    A data-driven based validation and calibration approach to building energy simulation model for accurate pre-retrofit design predictions

    Ke Qu, Yuhao Wang, Auwal Mukar Dodo, Xiangjie Chen and Saffa Riffat p827-838 from 34th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2021)
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  • A Data-Driven Evaluation of Safety Investment for High-Quality Development in High-Risk Industries: An Artificial Intelligence Approach

    Aussino Academic Publishing House (AAPH)

    A Data-Driven Evaluation of Safety Investment for High-Quality Development in High-Risk Industries: An Artificial Intelligence Approach

    CAO Zhonghong, ZHOU Tao, ZHOU Teyou p554-563 from 15th International Conference on Logistics and Systems Engineering (ICLSE 2025)
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  • A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks

    Salman Avestimehr, Sara Babakniya, Zalan Fabian, Chaoyang He, Mahdi Soltanolkotabi p66408-66425 from Advances in Neural Information Processing Systems 36
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