Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Spatio-Temporal Prediction: An Effective and Efficient Multi-Modal Approach

    Yuting Huang, Ziquan Fang, Zhihao Zeng, Lu Chen, Yunjun Gao p139452-139478 from Advances in Neural Information Processing Systems 38
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  • Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Sufficiency and Necessity Improves Chain-of-Thought Reasoning

    Xiangning Yu, Zhuohan Wang, Linyi Yang, Haoxuan Li, Anjie Liu, Xiao Xue, Jun Wang, Mengyue Yang p139775-139807 from Advances in Neural Information Processing Systems 38
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  • Causal Temporal Representation Learning with Nonstationary Sparse Transition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal Temporal Representation Learning with Nonstationary Sparse Transition

    Xiangchen Song, Zijian Li, Guangyi Chen, Yujia Zheng, Yewen Fan, Xinshuai Dong, Kun Zhang p77098-77131 from Advances in Neural Information Processing Systems 37
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  • Causal vs. Anticausal merging of predictors

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal vs. Anticausal merging of predictors

    Sergio Mejia, Patrick Blöbaum, Bernhard Schölkopf, Dominik Janzing p1402-1427 from Advances in Neural Information Processing Systems 37
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  • Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causal-R: A Causal-Reasoning Geometry Problem Solver for Optimized Solution Exploration

    Wenjun Wu, Lingling Zhang, Bo Zhao, Muye Huang, QianYing Wang, Jun Liu p121141-121165 from Advances in Neural Information Processing Systems 38
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  • CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes

    Paritosh Parmar, Eric Peh, Ruirui Chen, Ting En Lam, Yuhan Chen, Elston Tan, Basura Fernando p92769-92802 from Advances in Neural Information Processing Systems 37
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  • CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense

    Mingkun Zhang, Keping Bi, Wei Chen, Quanrun Chen, Jiafeng Guo, Xueqi Cheng p124791-124819 from Advances in Neural Information Processing Systems 37
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  • CausalDynamics: A large‐scale benchmark for structural discovery of dynamical causal models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CausalDynamics: A large‐scale benchmark for structural discovery of dynamical causal models

    Benjamin Herdeanu, Juan Nathaniel, Carla Roesch, Jatan Buch, Gregor Ramien, Johannes Haux, Pierre Gentine p45204-45248 from Advances in Neural Information Processing Systems 38
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  • Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causality Meets Locality: Provably Generalizable and Scalable Policy Learning for Networked Systems

    Hao Liang, shuqing shi, Yudi Zhang, Biwei Huang, Yali Du p176468-176518 from Advances in Neural Information Processing Systems 38
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  • Causality Meets the Table: Debiasing LLMs for Faithful TableQA via Front-Door Intervention

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causality Meets the Table: Debiasing LLMs for Faithful TableQA via Front-Door Intervention

    Zhen Yang, Ziwei Du, Minghan Zhang, Wei Du, Jie Chen, Fulan Qian, Shu Zhao p155908-155935 from Advances in Neural Information Processing Systems 38
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  • 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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  • Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causality-Induced Positional Encoding for Transformer-Based Representation Learning of Non-Sequential Features

    Kaichen Xu, Yihang Du, Mianpeng Liu, Zimu Yu, Xiaobo Sun p170145-170195 from Advances in Neural Information Processing Systems 38
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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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  • Causally Reliable Concept Bottleneck Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Causally Reliable Concept Bottleneck Models

    Giovanni De Felice, Arianna Casanova Flores, Francesco De Santis, Silvia Santini, Johannes Schneider, Pietro Barbiero, Alberto Termine p165560-165600 from Advances in Neural Information Processing Systems 38
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  • CausalPFN: Amortized Causal Effect Estimation via In-Context Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CausalPFN: Amortized Causal Effect Estimation via In-Context Learning

    Vahid Balazadeh Meresht, Hamidreza Kamkari, Valentin Thomas, Junwei Ma, Bingru Li, Jesse Cresswell, Rahul Krishnan p172106-172145 from Advances in Neural Information Processing Systems 38
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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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  • CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CausalVerse: Benchmarking Causal Representation Learning with Configurable High-Fidelity Simulations

    Guangyi Chen, Yunlong Deng, Peiyuan Zhu, Yan Li, Yifan Shen, Zijian Li, Kun Zhang p4173-4218 from Advances in Neural Information Processing Systems 38
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  • CausalVTG: Towards Robust Video Temporal Grounding via Causal Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CausalVTG: Towards Robust Video Temporal Grounding via Causal Inference

    Qiyi Wang, Senda Chen, Ying Shen p114711-114735 from Advances in Neural Information Processing Systems 38
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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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  • CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization

    Hoyoon Byun, Gyeongdeok Seo, Joonseong Kang, Taero Kim, Jihee Kim, Kyungwoo Song p93272-93291 from Advances in Neural Information Processing Systems 38
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