Paper

  • An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models

    Yunzhe Hu, Difan Zou, Dong Xu p116815-116837 from Advances in Neural Information Processing Systems 37
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  • An In-Depth Study of Stochastic Backpropagation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An In-Depth Study of Stochastic Backpropagation

    Jun Fang, Mingze Xu, Hao Chen, Bing Shuai, Zhuowen Tu, Joseph Tighe p21819-21830 from Advances in Neural Information Processing Systems 35
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  • An inclusive decision-making approach for selection of comprehensive energy-retrofit combinations in a typical Italian 1960s' multi-family house

    ECOS 2021 Program Organizers

    An inclusive decision-making approach for selection of comprehensive energy-retrofit combinations in a typical Italian 1960s' multi-family house

    Ke Qu, Tianhong Zheng, Auwal Muktar Dodo, John Calautit, Saffa Riffat, Xiangjie Chen and Yuhao Wang p632-643 from 34th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2021)
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  • An Independent International Assessment of Space Solar Power

    International Astronautical Federation (IAF)

    An Independent International Assessment of Space Solar Power

    John C. Mankins p1-10 from IAF Space Power Symposium
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  • An Inductive Bias for Tabular Deep Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Inductive Bias for Tabular Deep Learning

    Ege Beyazit, Jonathan Kozaczuk, Bo Li, Vanessa Wallace, Bilal Fadlallah p43108-43135 from Advances in Neural Information Processing Systems 36
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  • AN INDUSTRIAL ENGINEERING LIGHTHOUSE MODEL FOR TRANSDISCIPLINARY PROBLEM SOLVING AND SUSTAINABLE DEVELOPMENT IN SOUTH AFRICA

    Southern African Institute for Industrial Engineering (SAIIE)

    AN INDUSTRIAL ENGINEERING LIGHTHOUSE MODEL FOR TRANSDISCIPLINARY PROBLEM SOLVING AND SUSTAINABLE DEVELOPMENT IN SOUTH AFRICA

    M. Roopa p272-286 from 34th Southern African Institute for Industrial Engineering Conference 2024 (SAIIE34)
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  • An Industrial-Scale Cement Rotary Kiln CFD Model to Characterise Alternative Fuel Combustion Profiles

    ECOS 2023

    An Industrial-Scale Cement Rotary Kiln CFD Model to Characterise Alternative Fuel Combustion Profiles

    Antonio Alcaide Moreno, Miguel Ángel Castán-Lascorz, Valter Tavares p448-459 from 36th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2023)
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  • An Information Theoretic Perspective on Conformal Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Information Theoretic Perspective on Conformal Prediction

    Alvaro Correia, Fabio Massoli, Christos Louizos, Arash Behboodi p101000-101041 from Advances in Neural Information Processing Systems 37
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  • An Information Theory Perspective on Variance-Invariance-Covariance Regularization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Information Theory Perspective on Variance-Invariance-Covariance Regularization

    Ravid Shwartz-Ziv, Randall Balestriero, Kenji Kawaguchi, Tim G. J. Rudner, Yann Lecun p33965-33998 from Advances in Neural Information Processing Systems 36
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  • An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions

    Mohammad Jalali, Cheuk Ting Li, Farzan Farnia p9931-9943 from Advances in Neural Information Processing Systems 36
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  • An Information-Theoretic Framework for Deep Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An Information-Theoretic Framework for Deep Learning

    Hong Jun Jeon, Benjamin Van Roy p3279-3291 from Advances in Neural Information Processing Systems 35
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  • An information-theoretic quantification of the content of communication between brain regions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    An information-theoretic quantification of the content of communication between brain regions

    Marco Celotto, Jan Bím, Alejandro Tlaie, Vito De Feo, Alessandro Toso, Stefan Lemke, Daniel Chicharro, Hamed Nili, Malte Bieler, Ileana Hanganu-Opatz, Tobias Donner, Andrea Brovelli, Stefano Panzeri p64213-64265 from Advances in Neural Information Processing Systems 36
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