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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

GPEX, A Framework For Interpreting Artificial Neural Networks

Amir Hossein Hosseini Akbarnejad, Gilbert Bigras, Nilanjan Ray p64181-64192 from Advances in Neural Information Processing Systems 36

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Association for Unmanned Vehicle Systems International (AUVSI)

GPS DENIED - THE NEXT LEVEL IN AUTONOMOUS NAVIGATION TOWARDS FLYING WITHOUT GPS

G. Puhlfurst, J. Hess, S. Milz p202-208 from XPONENTIAL 2024

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

GPT-ST: Generative Pre-Training of Spatio-Temporal Graph Neural Networks

Zhonghang Li, Lianghao Xia, Yong Xu, Chao Huang p70229-70246 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

GPT4Tools: Teaching Large Language Model to Use Tools via Self-instruction

Rui Yang, Lin Song, Yanwei Li, Sijie Zhao, Yixiao Ge, Xiu Li, Ying Shan p71995-72007 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

GraB: Finding Provably Better Data Permutations than Random Reshuffling

Yucheng Lu, Wentao Guo, Christopher De Sa p8969-8981 from Advances in Neural Information Processing Systems 35

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Clarion Technical Conferences

GradeIt: Power BI App to Guide Pipe Grade Estimation

William Harper, Thomas Bubenik, Benjamin Hanna, Tara McMahan, Adriana Nenciu p215-224 from 34th International Pipeline Pigging and Integrity Management Conference (PPIM 2022)

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World Conference on Timber Engineering 2025

GRADES AND STRENGTH CHRACTERISTICS OF LOW-DENSITY HARDWOOD, YELLOW POPLAR

Chul-Ki Kim, Da-Bin Song, Sang-Joon Lee, Keon-Ho Kim p2193-2198 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by Exploring Refusal Loss Landscapes

Xiaomeng Hu, Pin-Yu Chen, Tsung-Yi Ho p126265-126296 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Gradient Descent is Optimal Under Lower Restricted Secant Inequality and Upper Error Bound

Charles Guille-Escuret, Adam Ibrahim, Baptiste Goujaud, Ioannis Mitliagkas p24893-24904 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Gradient Descent with Linearly Correlated Noise: Theory and Applications to Differential Privacy

Anastasiia Koloskova, Ryan McKenna, Zachary Charles, John Rush, H. Brendan McMahan p35761-35773 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Gradient Descent: The Ultimate Optimizer

Kartik Chandra, Audrey Xie, Jonathan Ragan-Kelley, Erik Meijer p8214-8225 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Gradient Estimation with Discrete Stein Operators

Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis Titsias, Lester Mackey p25829-25841 from Advances in Neural Information Processing Systems 35

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