Paper

  • 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-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 Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits

    Kwang-Sung Jun, Jungyhun Lee, Se-Young Yun p124640-124685 from Advances in Neural Information Processing Systems 37
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  • A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unified Debiasing Approach for Vision-Language Models across Modalities and Tasks

    Taeuk Jang, Hoin Jung, Xiaoqian Wang p21034-21058 from Advances in Neural Information Processing Systems 37
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  • A Unified Framework for 3D Scene Understanding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unified Framework for 3D Scene Understanding

    Xiang Bai, Dingkang Liang, Chunsheng Shi, Sifan Tu, Wei Xu, Xin Zhou p59468-59490 from Advances in Neural Information Processing Systems 37
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  • A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unified Principle of Pessimism for Offline Reinforcement Learning under Model Mismatch

    Zhongchang Sun, Yue Wang, Shaofeng Zou p9281-9328 from Advances in Neural Information Processing Systems 37
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  • A Unifying Normative Framework of Decision Confidence

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unifying Normative Framework of Decision Confidence

    Micheal Buice, Amelia Johnson, Koosha Khalvati p140847-140864 from Advances in Neural Information Processing Systems 37
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  • A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Unifying Post-Processing Framework for Multi-Objective Learn-to-Defer Problems

    Mohammad-Amin Charusaie, Samira Samadi p23705-23755 from Advances in Neural Information Processing Systems 37
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  • A Universal Growth Rate for Learning with Smooth Surrogate Losses

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Universal Growth Rate for Learning with Smooth Surrogate Losses

    Anqi Mao, Mehryar Mohri, Yutao Zhong p41670-41708 from Advances in Neural Information Processing Systems 37
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  • A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Versatile Diffusion Transformer with Mixture of Noise Levels for Audiovisual Generation

    Agrim Gupta, Aren Jansen, Lu Jiang, Brendan Jou, Gwanghyun Kim, José Lezama, Alonso Martinez, Krishna Somandepalli, Yu-Chuan Su, Jacob Walker, Lijun Yu p11837-11865 from Advances in Neural Information Processing Systems 37
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