Paper

  • A Transformer-Based Object Detector with Coarse-Fine Crossing Representations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Transformer-Based Object Detector with Coarse-Fine Crossing Representations

    Jianyuan Guo, Kai Han, Zhishan Li, Ying Nie, Yunhe Wang, Lei Xie p38733-38746 from Advances in Neural Information Processing Systems 35
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  • A Tribute to Kevin Davis’ Contributions to Combustion Research

    Coal Technologies Associates

    A Tribute to Kevin Davis’ Contributions to Combustion Research

    Marc Cremer p1-2 from Clearwater Clean Energy Conference 2022
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  • A Trichotomy for Transductive Online Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Trichotomy for Transductive Online Learning

    Steve Hanneke, Shay Moran, Jonathan Shafer p19502-19519 from Advances in Neural Information Processing Systems 36
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  • A Triple Solar Desalination System Integrated with a Biomass Fuelled SCO2 Power Cycle: Thermodynamic Modelling

    ECOS 2023

    A Triple Solar Desalination System Integrated with a Biomass Fuelled SCO2 Power Cycle: Thermodynamic Modelling

    Hamed Ghiasirad, Towhid Gholizadeh Baris, Saeed Rostami, Bartosz Stanek, Anna Skorek-Osikowska, Lukasz Bartela p1854-1865 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • A TWO-PHASE OPTIMIZATION METHOD FOR THE EXPANSION PLANNING OF DISTRICT HEATING SYSTEMS USING DIFFERENT DISCRETIZATION TECHNIQUES

    ECOS 2024

    A TWO-PHASE OPTIMIZATION METHOD FOR THE EXPANSION PLANNING OF DISTRICT HEATING SYSTEMS USING DIFFERENT DISCRETIZATION TECHNIQUES

    Jerry Lambert, Hartmut Spliethoff p251-262 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • A two-scale Complexity Measure for Deep Learning Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A two-scale Complexity Measure for Deep Learning Models

    Massimiliano Datres, Alessio Figalli, Gian Leonardi, David Sutter p23013-23039 from Advances in Neural Information Processing Systems 37
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  • A Two-Stage Heuristic Algorithm for Solving the Collaborative Delivery Route Optimization Problem of Trucks and Drones in Urban and Remote Rural Areas

    Aussino Academic Publishing House (AAPH)

    A Two-Stage Heuristic Algorithm for Solving the Collaborative Delivery Route Optimization Problem of Trucks and Drones in Urban and Remote Rural Areas

    WANG Fang, ZHU Zhilin p513-522 from 14th International Conference on Logistics and Systems Engineering (ICLSE 2024)
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  • A TWO-STEP CASCADE MODELLING BETWEEN ENERGYSCOPE PATHWAY-BO AND PYPSA-BO FOR ENERGY TRANSITION PLANNING. PART A: IMPACTS OF DEMAND SCENARIOS

    ECOS 2024

    A TWO-STEP CASCADE MODELLING BETWEEN ENERGYSCOPE PATHWAY-BO AND PYPSA-BO FOR ENERGY TRANSITION PLANNING. PART A: IMPACTS OF DEMAND SCENARIOS

    Pablo Jimenez Zabalaga, Carlos A.A. Fernandez Vazquez, Gauthier Limpens, Evelyn Cardozo, Sylvain Quoilin, Hervé Jeanmart p1327-1338 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A U-turn on Double Descent: Rethinking Parameter Counting in Statistical Learning

    Alicia Curth, Alan Jeffares, Mihaela Van Der Schaar p55932-55962 from Advances in Neural Information Processing Systems 36
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  • A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unified Algorithm Framework for Unsupervised Discovery of Skills based on Determinantal Point Process

    Vaneet Aggarwal, Jiayu Chen, Tian Lan p67925-67947 from Advances in Neural Information Processing Systems 36
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  • A Unified Analysis of Federated Learning with Arbitrary Client Participation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unified Analysis of Federated Learning with Arbitrary Client Participation

    Mingyue Ji, Shiqiang Wang p19124-19137 from Advances in Neural Information Processing Systems 35
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  • A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective

    Sanghyuk Chun, Chanwoo Park, Sangdoo Yun p35504-35518 from Advances in Neural Information Processing Systems 35
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