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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment

Jiawei Chen, Chunhui Zhao p17910-17946 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Addressing Spectral Bias of Deep Neural Networks by Multi-Grade Deep Learning

Ronglong Fang, Yuesheng Xu p114122-114146 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Addressing the speed-accuracy simulation trade-off for adaptive spiking neurons

Nicol S Harper, Andrew King, Luke Taylor p59360-59374 from Advances in Neural Information Processing Systems 36

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

ADGym: Design Choices for Deep Anomaly Detection

Songqiao Han, Chaochuan Hou, Xiyang Hu, Hailiang Huang, Minqi Jiang, Qingsong Wen, Yue Zhao, Ao Zheng p70179-70207 from Advances in Neural Information Processing Systems 36

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World Conference on Timber Engineering 2025

ADHESIVELY BONDED AND HYBRID CLT PANEL-TO-PANEL JOINTS

Alicja Pace, Houman Ganjali, Lei Zhang, Hercend Mpidi Bita, Thomas Tannert p3872-3878 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)

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World Conference on Timber Engineering 2025

ADHESIVELY BONDED TIMBER-CONCRETE COMPOSITE BRIDGES – ANALYSIS OF THERMAL ACTIONS ON THE SUPERSTRUCTURE

Martin Kästner, Martin Ganß, Andreas Kirchner, Henri Paetow, Johannes Koch, Antje Simon, Matthias Kraus p752-761 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)

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World Conference on Timber Engineering 2023 (WCTE 2023)

ADHESIVELY BONDED TIMBER-CONCRETE COMPOSITE CONSTRUCTION METHOD (ATCC) - PILOT APPLICATION IN A SCHOOL BUILDING IN GERMANY

Jens Frohnmüller, Werner Seim, Christian Umbach, Johannes Hummel p4164-4172 from World Conference on Timber Engineering (WCTE 2023)

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Adjoint-Aided Inference of Gaussian Process Driven Differential Equations

Mauricio A Álvarez, Engineer Bainomugisha, Paterne Gahungu, Christopher Lanyon, Michael T Smith, Richard Wilkinson p17233-17247 from Advances in Neural Information Processing Systems 35

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

AdjointDEIS: Efficient Gradients for Diffusion Models

Zander W. Blasingame, Chen Liu p2449-2483 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Adjust Pearson's $r$ to Measure Arbitrary Monotone Dependence

Xinbo Ai p37385-37407 from Advances in Neural Information Processing Systems 37

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Neural Information Processing Systems Foundation, Inc. (NeurIPS)

Adjustable Robust Reinforcement Learning for Online 3D Bin Packing

Yize Chen, Fangzhen Lin, Yuxin Pan p51926-51954 from Advances in Neural Information Processing Systems 36

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$ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate$

Neural Information Processing Systems Foundation, Inc. (NeurIPS)

ADOPT: Modified Adam Can Converge with Any $\beta_2$ with the Optimal Rate

Keno Harada, Tomoshi Iiyama, Yusuke Iwasawa, Seong Cheol Jeong, Yutaka Matsuo, Gouki Minegishi, Go Nagahara, Yuta Oshima, Masahiro Suzuki, Shohei Taniguchi p72438-72474 from Advances in Neural Information Processing Systems 37

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