Paper

  • Implementation of NIJ Standard 0101.07 to Test and Evaluate Ballistic Resistant Body Armor

    Royal Military Academy (Belgium)

    Implementation of NIJ Standard 0101.07 to Test and Evaluate Ballistic Resistant Body Armor

    Mark E. Greene, Jared M. Gardner, Daniel A. Longhurst, Lance L. Miller, Richard A. Sundstrom p421-429 from 17th Personal Armour Systems Symposium (PASS 2025)
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  • IMPLICATIONS OF A DOWN-STAND BEAM ON THE CEILING FLAME EXTENSION CHARACTERISTICS IN A LARGE-SCALE CLT ENCLOSURE FIRE EXPERIMENT

    World Conference on Timber Engineering 2023 (WCTE 2023)

    IMPLICATIONS OF A DOWN-STAND BEAM ON THE CEILING FLAME EXTENSION CHARACTERISTICS IN A LARGE-SCALE CLT ENCLOSURE FIRE EXPERIMENT

    Danny Hopkin, Michael Spearpoint, Renaud Blondeau, Tim Sleik, Harald Krenn, Gordian Stapf, Wojciech Wegrzynski p1831-1838 from World Conference on Timber Engineering (WCTE 2023)
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  • Implications of Lead-Free Shotgun Ammunition to Police Body Armour

    Royal Military Academy (Belgium)

    Implications of Lead-Free Shotgun Ammunition to Police Body Armour

    J. Barnes-Warden p541-550 from 17th Personal Armour Systems Symposium (PASS 2025)
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  • Implications of Model Indeterminacy for Explanations of Automated Decisions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Implications of Model Indeterminacy for Explanations of Automated Decisions

    Ashton Anderson, Marc-Etienne Brunet, Richard Zemel p7810-7823 from Advances in Neural Information Processing Systems 35
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  • Implicit Bias of (Stochastic) Gradient Descent for Rank-1 Linear Neural Network

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Implicit Bias of (Stochastic) Gradient Descent for Rank-1 Linear Neural Network

    Bochen Lyu, Zhanxing Zhu p58166-58201 from Advances in Neural Information Processing Systems 36
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  • Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability

    Vladimir Braverman, Jason Lee, Jingfeng Wu p74229-74256 from Advances in Neural Information Processing Systems 36
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  • Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data

    Zixiang Chen, Quanquan Gu, Yiwen Kou p30167-30221 from Advances in Neural Information Processing Systems 36
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  • Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent

    Sanjeev Arora, Jason Lee, Zhiyuan Li, Tianhao Wang p34626-34640 from Advances in Neural Information Processing Systems 35
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  • Implicit Bias of Mirror Flow on Separable Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Implicit Bias of Mirror Flow on Separable Data

    Radu-Alexandru Dragomir, Nicolas Flammarion, Scott Pesme p114094-114121 from Advances in Neural Information Processing Systems 37
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  • Implicit Contrastive Representation Learning with Guided Stop-gradient

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Implicit Contrastive Representation Learning with Guided Stop-gradient

    Byeongchan Lee, Sehyun Lee p30885-30897 from Advances in Neural Information Processing Systems 36
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  • Implicit Convolutional Kernels for Steerable CNNs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Implicit Convolutional Kernels for Steerable CNNs

    Gabriele Cesa, Nico Hoffmann, Maksim Zhdanov p17395-17407 from Advances in Neural Information Processing Systems 36
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  • Implicit Curriculum in Procgen Made Explicit

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Implicit Curriculum in Procgen Made Explicit

    Zhenxiong Tan, Kaixin Wang, Xinchao Wang p20460-20479 from Advances in Neural Information Processing Systems 37
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