Paper

  • Causality Preserving Chaotic Transformation and Classification Using Neurochaos Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causality Preserving Chaotic Transformation and Classification Using Neurochaos Learning

    Harikrishnan N B, Aditi Kathpalia, Nithin Nagaraj p2046-2058 from Advances in Neural Information Processing Systems 35
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  • Causality-Driven Hierarchical Structure Discovery for Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causality-Driven Hierarchical Structure Discovery for Reinforcement Learning

    Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen p20064-20076 from Advances in Neural Information Processing Systems 35
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  • Causally Motivated Multi-Shortcut Identification and Removal

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causally Motivated Multi-Shortcut Identification and Removal

    Jiayun Zheng, Maggie Makar p12800-12812 from Advances in Neural Information Processing Systems 35
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  • CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction

    Shuqi Li, Yuebo Sun, Yuxin Lin, Xin Gao, Shuo Shang, Rui Yan p47432-47454 from Advances in Neural Information Processing Systems 37
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  • Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Cause-Effect Inference in Location-Scale Noise Models: Maximum Likelihood vs. Independence Testing

    Xiangyu Sun, Oliver Schulte p5447-5483 from Advances in Neural Information Processing Systems 36
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  • Causes and Effects of Unanticipated Numerical Deviations in Neural Network Inference Frameworks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causes and Effects of Unanticipated Numerical Deviations in Neural Network Inference Frameworks

    Alex Schlögl, Nora Hofer, Rainer Böhme p56095-56107 from Advances in Neural Information Processing Systems 36
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  • CBD: A Certified Backdoor Detector Based on Local Dominant Probability

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CBD: A Certified Backdoor Detector Based on Local Dominant Probability

    Zhen Xiang, Zidi Xiong, Bo Li p4937-4951 from Advances in Neural Information Processing Systems 36
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  • CCCP is Frank-Wolfe in Disguise

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CCCP is Frank-Wolfe in Disguise

    Alp Yurtsever, Suvrit Sra p35352-35364 from Advances in Neural Information Processing Systems 35
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  • CCLT – DEVELOPMENT OF A CLT BASED SANDWICH STRUCTURE WITH BAMBOO RINGS AS CORE MATERIALS

    World Conference on Timber Engineering 2025

    CCLT – DEVELOPMENT OF A CLT BASED SANDWICH STRUCTURE WITH BAMBOO RINGS AS CORE MATERIALS

    Andreas Loth, Ralf Förster, Ulrike Siemer, Igor Wiele p2296-2302 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • CCLT – FURTHER DEVELOPMENT OF A CLT BASED SANDWICH STRUCTURE WITH A BAMBOO HONEYCOMB (COMBOO)

    World Conference on Timber Engineering 2025

    CCLT – FURTHER DEVELOPMENT OF A CLT BASED SANDWICH STRUCTURE WITH A BAMBOO HONEYCOMB (COMBOO)

    Andreas Loth, Ralf Förster, Christian Schrembs, Laurent Giampellegrini p5074-5081 from 14th World Conference on Timber Engineering 2025 (WCTE 2025)
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  • CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework

    Yiyang Zhao, Yunzhuo Liu, Bo Jiang, Tian Guo p82673-82704 from Advances in Neural Information Processing Systems 37
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  • CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CEBaB: Estimating the Causal Effects of Real-World Concepts on NLP Model Behavior

    Eldar D Abraham, Karel D'Oosterlinck, Amir Feder, Yair Gat, Atticus Geiger, Christopher Potts, Roi Reichart, Zhengxuan Wu p17582-17596 from Advances in Neural Information Processing Systems 35
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