Paper

  • From Local Energy Communities Towards National Energy System: A Grid-Aware Techno-Economic Analysis

    ECOS 2023

    From Local Energy Communities Towards National Energy System: A Grid-Aware Techno-Economic Analysis

    Cédric Terrier, Joseph Loustau, François Maréchal p3397-3408 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection

    Maike Feng, Jinjin Gu, Jing Qiu, Xinlei Wang, Junhua Zhao p58118-58153 from Advances in Neural Information Processing Systems 37
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  • From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Pixels to UI Actions: Learning to Follow Instructions via Graphical User Interfaces

    Jonathan Berant, James Cohan, Hexiang Hu, Mandar Joshi, Urvashi Khandelwal, Kenton Lee, Panupong Pasupat, Peter Shaw, Kristina N Toutanova p34354-34370 from Advances in Neural Information Processing Systems 36
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  • FROM REGULATION TO RENEWABLE: THE MEDIATING IMPACT OF PROACTIVE ENVIRONMENTAL MANAGEMENT ON ENERGY CHOICES IN MENA FIRMS

    ECOS 2024

    FROM REGULATION TO RENEWABLE: THE MEDIATING IMPACT OF PROACTIVE ENVIRONMENTAL MANAGEMENT ON ENERGY CHOICES IN MENA FIRMS

    Omar Ayouni, Zouiri Lahboub p1623-1634 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • From Similarity to Superiority: Channel Clustering for Time Series Forecasting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Similarity to Superiority: Channel Clustering for Time Series Forecasting

    Jialin Chen, Aosong Feng, Matthias Fey, Weihua Hu, Jan Eric Lenssen, Jure Leskovec, Leandros Tassiulas, Rex Ying p130635-130663 from Advances in Neural Information Processing Systems 37
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  • From Students of Engineering to Students of Engineering Education Research and Practice: A Collaborative Auto-ethnographic Study

    Research In Engineering Education Network

    From Students of Engineering to Students of Engineering Education Research and Practice: A Collaborative Auto-ethnographic Study

    Luran Wang, Gouri Vinod, Yiwen Cheng, Xiaoyu Li, Abel Nyamapfene, Jay Derrick p832-841 from 9th Research in Engineering Education Symposium and 32nd Australasian Association for Engineering Education Conference (REES AAEE 2021)
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  • From Tempered to Benign Overfitting in ReLU Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Tempered to Benign Overfitting in ReLU Neural Networks

    Guy Kornowski, Ohad Shamir, Gilad Yehudai p58011-58046 from Advances in Neural Information Processing Systems 36
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  • From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Text to Trajectory: Exploring Complex Constraint Representation and Decomposition in Safe Reinforcement Learning

    Pusen Dong, Jianxin Li, Yue Qiu, Haoyi Zhou, Tianchen Zhu p125635-125662 from Advances in Neural Information Processing Systems 37
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  • From the Fuel Heating Value to the Fuel Exergy Value in Advanced Energy Systems

    ECOS 2023

    From the Fuel Heating Value to the Fuel Exergy Value in Advanced Energy Systems

    Daniel Favrat, Malick Kane p126-135 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • From Thermoeconomics to Environomics and Beyond

    ECOS 2023

    From Thermoeconomics to Environomics and Beyond

    Daniel Favrat p42-47 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • From Trainable Negative Depth to Edge Heterophily in Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Trainable Negative Depth to Edge Heterophily in Graphs

    Huiyuan Chen, Yuzhong Chen, Mahashweta Das, Hanghang Tong, Minghua Xu, Yuchen Yan, Hao Yang p70162-70178 from Advances in Neural Information Processing Systems 36
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  • From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $\alpha$-NeuS

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    From Transparent to Opaque: Rethinking Neural Implicit Surfaces with $\alpha$-NeuS

    Xuhui Chen, Junkai Deng, Ying He, Fei Hou, Chen Qian, Hong Qin, Wencheng Wang, Haoran Zhang p28078-28102 from Advances in Neural Information Processing Systems 37
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