Paper

  • ADGym: Design Choices for Deep Anomaly Detection

    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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  • ADHESIVELY BONDED AND HYBRID CLT PANEL-TO-PANEL JOINTS

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

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

    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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  • Adjoint-Aided Inference of Gaussian Process Driven Differential Equations

    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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  • AdjointDEIS: Efficient Gradients for Diffusion Models

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

    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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  • Adjustable Robust Reinforcement Learning for Online 3D Bin Packing

    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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  • ADRESSING THE CHALLENGES IN THE HOLISTIC DESIGN OF TALLER TIMBER BUILDINGS – COST ACTION HELEN

    World Conference on Timber Engineering 2025

    ADRESSING THE CHALLENGES IN THE HOLISTIC DESIGN OF TALLER TIMBER BUILDINGS – COST ACTION HELEN

    Robert Jockwer, Gerhard Fink, José Manuel Cabrero Ballarín, Mislav Stepinac, Eleni Toumpanaki, Pedro Palma, Chiara Bedon, Daniele Casagrande, Steffen Franke p1866-1872 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Adv-Attribute: Inconspicuous and Transferable Adversarial Attack on Face Recognition

    Shouhong Ding, Shuai Jia, Chao Ma, Chunhua Shen, Xiaokang Yang, Taiping Yao, Bangjie Yin p34136-34147 from Advances in Neural Information Processing Systems 35
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  • AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks

    Ziqiang He, Jian-Fang Hu, Xiangui Kang, Jin Li, Anwei Luo, Z. Jane Wang p52323-52353 from Advances in Neural Information Processing Systems 37
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