Paper

  • A General Approximation Lower Bound in Lp Norm, with Applications to Feed-Forward Neural Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A General Approximation Lower Bound in Lp Norm, with Applications to Feed-Forward Neural Networks

    El Mehdi Achour, Armand Foucault, Sébastien Gerchinovitz, François Malgouyres p22396-22408 from Advances in Neural Information Processing Systems 35
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  • A General Framework for Auditing Differentially Private Machine Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A General Framework for Auditing Differentially Private Machine Learning

    Fred Lu, Joseph Munoz, Maya Fuchs, Tyler Leblond, Elliott Zaresky-Williams, Edward Raff, Francis Ferraro, Brian Testa p4165-4176 from Advances in Neural Information Processing Systems 35
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  • A General Framework for Equivariant Neural Networks on Reductive Lie Groups

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A General Framework for Equivariant Neural Networks on Reductive Lie Groups

    Ilyes Batatia, Mario Geiger, Jose Munoz, Tess Smidt, Lior Silberman, Christoph Ortner p55260-55284 from Advances in Neural Information Processing Systems 36
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  • A General Framework for Robust G-Invariance in G-Equivariant Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A General Framework for Robust G-Invariance in G-Equivariant Networks

    Sophia Sanborn, Nina Miolane p67103-67124 from Advances in Neural Information Processing Systems 36
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  • A General Framework for the Integration of Industry 4.0 Methodologies into the Manufacturing, Assembly, Integration, and Testing Processes of the Space Industry

    International Astronautical Federation (IAF)

    A General Framework for the Integration of Industry 4.0 Methodologies into the Manufacturing, Assembly, Integration, and Testing Processes of the Space Industry

    Marco Eugeni, Alberto Boschetto, Francesco Costantino, Federica Conti, Antonio Culla, Annalisa Fregolent, Luca Lampani, Cristina Lorenzetti, Franco Mastroddi, Massimo Mecella, Silvia Milana, Giovanni Morabito, Michele Pasquali et al. p575-583 from IAF Materials and Structures Symposium
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  • A General MATLAB Model of Biomass Gasification in a Fluidised Bed Reactor

    ECOS 2021 Program Organizers

    A General MATLAB Model of Biomass Gasification in a Fluidised Bed Reactor

    Hamid Rashidi, Aidan Duffy and Wayne Doherty p1456-1466 from 34th International Conference on Efficiency, Cost, Optimization, Simulation and Environmental Impact of Energy Systems (ECOS 2021)
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  • A General Protocol to Probe Large Vision Models for 3D Physical Understanding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A General Protocol to Probe Large Vision Models for 3D Physical Understanding

    Guanqi Zhan, Chuanxia Zheng, Weidi Xie, Andrew Zisserman p43468-43498 from Advances in Neural Information Processing Systems 37
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  • A General Relativistic Theory of Electromagnetic Field and its Connection with Planck's Constant

    Hadronic Press

    A General Relativistic Theory of Electromagnetic Field and its Connection with Planck's Constant

    Shiva Kumar p645-667 from 2020 International Teleconference on the Einstein-Podolsky-Rosen Argument that "Quantum Mechanics is not a Complete Theory"
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  • A General Theory of Correct, Incorrect, and Extrinsic Equivariance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A General Theory of Correct, Incorrect, and Extrinsic Equivariance

    Dian Wang, Xupeng Zhu, Jung Yeon Park, Mingxi Jia, Guanang Su, Robert Platt, Robin Walters p40006-40029 from Advances in Neural Information Processing Systems 36
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  • A generalized neural tangent kernel for surrogate gradient learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A generalized neural tangent kernel for surrogate gradient learning

    Luke Eilers, Raoul-Martin Memmesheimer, Sven Goedeke p9026-9085 from Advances in Neural Information Processing Systems 37
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  • A Generative Model of Symmetry Transformations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A Generative Model of Symmetry Transformations

    James Allingham, Bruno Mlodozeniec, Shreyas Padhy, Javier Antorán, David Krueger, Richard Turner, Eric Nalisnick, José Hernández-Lobato p91091-91130 from Advances in Neural Information Processing Systems 37
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  • A generative model of the hippocampal formation trained with theta driven local learning rules

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    A generative model of the hippocampal formation trained with theta driven local learning rules

    Tom M George, Kimberly Stachenfeld, Caswell Barry, Claudia Clopath, Tomoki Fukai p1644-1658 from Advances in Neural Information Processing Systems 36
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