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  • A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Fast and Accurate Estimator for Large Scale Linear Model via Data Averaging

    Rui Wang, Yanyan Ouyang, Yu Panpan, Wangli Xu p34917-34927 from Advances in Neural Information Processing Systems 36
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  • A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Fast Convoluted Story: Scaling Probabilistic Inference for Integer Arithmetics

    Lennert De Smet, Pedro Zuidberg Dos Martires p102456-102478 from Advances in Neural Information Processing Systems 37
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  • A Fast Evaluation Method for Spacecraft Low-Thrust Collision Avoidance Maneuvers Based on Differential Algebra

    International Astronautical Federation (IAF)

    A Fast Evaluation Method for Spacecraft Low-Thrust Collision Avoidance Maneuvers Based on Differential Algebra

    Jikai Wang, Ming Xu, Xue Bai, Xiaoyi Wang, Zhaoyue Chen, Jixin Ding p1067-1074 from IAF Astrodynamics Symposium
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  • A Fast Heuristic Algorithm for Multi-Energy System Design

    ECOS 2023

    A Fast Heuristic Algorithm for Multi-Energy System Design

    Antoine Mallégol, Arwa Khannoussi, Bruno Lacarrière, Mehrdad Mohammadi, Patrick Meyer p1432-1443 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • A fast heuristic to optimize time-space tradeoff for large models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A fast heuristic to optimize time-space tradeoff for large models

    Akifumi Imanishi, Zijian Xu, Masayuki Takagi, Sixue Wang, Emilio Castillo p49679-49702 from Advances in Neural Information Processing Systems 36
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  • A Fast Post-Training Pruning Framework for Transformers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Fast Post-Training Pruning Framework for Transformers

    Woosuk Kwon, Sehoon Kim, Michael Mahoney, Joseph Hassoun, Kurt Keutzer, Amir Gholami p24101-24116 from Advances in Neural Information Processing Systems 35
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  • A Fast Scale-Invariant Algorithm for Non-Negative Least Squares with Non-Negative Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Fast Scale-Invariant Algorithm for Non-Negative Least Squares with Non-Negative Data

    Jelena Diakonikolas, Chenghui Li, Swati Padmanabhan, Chaobing Song p6264-6277 from Advances in Neural Information Processing Systems 35
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  • A FEASIBILITY STUDY FOR ZERO-EMISSION PASSENGER BOATS FOR INLAND WATERWAYS BASED ON HYDROGEN FUEL CELLS

    ECOS 2024

    A FEASIBILITY STUDY FOR ZERO-EMISSION PASSENGER BOATS FOR INLAND WATERWAYS BASED ON HYDROGEN FUEL CELLS

    Massimo Rivarolo, Giaime Niccolò Montagna, Thomas Lamberti, Stefano Barberis p663-674 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • A Federated, Self-Scaling Architecture for the Lunar Internet of Satellites

    International Astronautical Federation (IAF)

    A Federated, Self-Scaling Architecture for the Lunar Internet of Satellites

    Guillaume Brault, Thomas Heath, Krystian Jakubczyk, Jamal Mazar, Nicola Garzaniti p1507-1517 from IAF Space Exploration Symposium
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  • A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Few Expert Queries Suffices for Sample-Efficient RL with Resets and Linear Value Approximation

    Philip Amortila, Nan Jiang, Dhruv Madeka, Dean Foster p29637-29648 from Advances in Neural Information Processing Systems 35
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  • A Fine Framework Design for the Modeling of Distribution Network Engineering Based on Bim Technology

    Aussino Academic Publishing House (AAPH)

    A Fine Framework Design for the Modeling of Distribution Network Engineering Based on Bim Technology

    Dezhi Feng, Jia Li, Xiangjun Duan, Jinli Wang p724-730 from 11th International Symposium on Project Management (ISPM2023)
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  • A Finite-Particle Convergence Rate for Stein Variational Gradient Descent

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Finite-Particle Convergence Rate for Stein Variational Gradient Descent

    Jiaxin Shi, Lester Mackey p26831-26844 from Advances in Neural Information Processing Systems 36
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