Paper

  • Feasibility of Solar Photovoltaic Energy as an Energy Source for the Electrowinning of Zinc in South Africa

    ECOS 2023

    Feasibility of Solar Photovoltaic Energy as an Energy Source for the Electrowinning of Zinc in South Africa

    Ricardo Magdalena, Nicole Uys, Jochen Petersen p1777-1788 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • FEASIBILITY STUDY ON LONG-SPAN CLT-GLULAM COMPOSITE FLOORING SYSTEM CONNECTED WITH BAMBOO-TENON SHEAR CONNECTORS

    World Conference on Timber Engineering 2023 (WCTE 2023)

    FEASIBILITY STUDY ON LONG-SPAN CLT-GLULAM COMPOSITE FLOORING SYSTEM CONNECTED WITH BAMBOO-TENON SHEAR CONNECTORS

    Yue Diao, Cristiano Loss p3439-3448 from World Conference on Timber Engineering (WCTE 2023)
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  • FEASIBILITY STUDY ON THE USE OF LARGE-SCALE LITHIUM-ION BATTERIES TO PREVENT ENERGY WASTES DUE TO CURTAILMENTS IN OFFSHORE WIND FARMS

    ECOS 2024

    FEASIBILITY STUDY ON THE USE OF LARGE-SCALE LITHIUM-ION BATTERIES TO PREVENT ENERGY WASTES DUE TO CURTAILMENTS IN OFFSHORE WIND FARMS

    Riccardo Travaglini, Francesco Superchi, Francesco Lanni, Laura Serri, Alessandro Bianchini p2422-2433 from 37th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2024)
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  • Feature Adaptation for Sparse Linear Regression

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Adaptation for Sparse Linear Regression

    Jonathan Kelner, Frederic Koehler, Raghu Meka, Dhruv Rohatgi p29951-29995 from Advances in Neural Information Processing Systems 36
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  • Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning

    Margalit Glasgow, Noah Goodman, Xiluo He, Alex Tamkin p61806-61835 from Advances in Neural Information Processing Systems 36
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  • Feature Learning for Interpretable, Performant Decision Trees

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Learning for Interpretable, Performant Decision Trees

    Artur Dubrawski, Jack Good, Torin Kovach, Kyle Miller p66571-66582 from Advances in Neural Information Processing Systems 36
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  • Feature Learning in L2-Regularized DNNs: Attraction/Repulsion and Sparsity

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Learning in L2-Regularized DNNs: Attraction/Repulsion and Sparsity

    Franck Gabriel, Eugene Golikov, Clement Hongler, Arthur Jacot p6763-6774 from Advances in Neural Information Processing Systems 35
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  • Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature learning via mean-field Langevin dynamics: classifying sparse parities and beyond

    Atsushi Nitanda, Kazusato Oko, Taiji Suzuki, Denny Wu p34536-34556 from Advances in Neural Information Processing Systems 36
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  • Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples

    Yoram Bachrach, Joey Bose, Ian Gemp, Gauthier Gidel, Marco Jiralerspong, Chongli Qin p33095-33119 from Advances in Neural Information Processing Systems 36
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  • Feature Selection in the Contrastive Analysis Setting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature Selection in the Contrastive Analysis Setting

    Ian Covert, Su-In Lee, Ethan Weinberger p66102-66126 from Advances in Neural Information Processing Systems 36
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  • Feature-Learning Networks Are Consistent Across Widths At Realistic Scales

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature-Learning Networks Are Consistent Across Widths At Realistic Scales

    Alexander Atanasov, Blake Bordelon, Depen Morwani, Cengiz Pehlevan, Sabarish Sainathan, Nikhil Vyas p1036-1060 from Advances in Neural Information Processing Systems 36
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  • Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Feature-Level Adversarial Attacks and Ranking Disruption for Visible-Infrared Person Re-identification

    De Cheng, Xinbo Gao, Huanling liu, Nannan Wang, Xi Yang p135043-135061 from Advances in Neural Information Processing Systems 37
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