Paper

  • Diffusion PID: Interpreting Diffusion via Partial Information Decomposition

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion PID: Interpreting Diffusion via Partial Information Decomposition

    Yonatan Bisk, Yingshan Chang, Shaurya Dewan, Andrew Luo, Prakanshul Saxena, Rushikesh Zawar p2045-2079 from Advances in Neural Information Processing Systems 37
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  • Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion Policies Creating a Trust Region for Offline Reinforcement Learning

    Tianyu Chen, Zhendong Wang, Mingyuan Zhou p50098-50125 from Advances in Neural Information Processing Systems 37
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  • Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion Policy Attacker: Crafting Adversarial Attacks for Diffusion-based Policies

    Yipu Chen, Yongxin Chen, Haotian Xue p119614-119637 from Advances in Neural Information Processing Systems 37
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  • Diffusion Priors for Variational Likelihood Estimation and Image Denoising

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion Priors for Variational Likelihood Estimation and Image Denoising

    Jun Cheng, Shan Tan p61138-61159 from Advances in Neural Information Processing Systems 37
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  • Diffusion Spectral Representation for Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion Spectral Representation for Reinforcement Learning

    Bo Dai, Chen-Xiao Gao, Yitong Li, Dmitry Shribak, Chenjun Xiao p110028-110056 from Advances in Neural Information Processing Systems 37
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  • Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting

    Jiaxiang Dong, Xingzhuo Guo, Mingsheng Long, Jincheng Zhong p114574-114600 from Advances in Neural Information Processing Systems 37
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  • Diffusion Twigs with Loop Guidance for Conditional Graph Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion Twigs with Loop Guidance for Conditional Graph Generation

    Andre Freitas, Vikas Garg, Giangiacomo Mercatali, Yogesh Verma p137741-137767 from Advances in Neural Information Processing Systems 37
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  • Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection

    De Cheng, Lechao Cheng, Chaowei Fang, Xinbo Gao, Changzhe Jiao, Nannan Wang, Yubiao Wang, Ying Yang p26846-26871 from Advances in Neural Information Processing Systems 37
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  • Diffusion-based Curriculum Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-based Curriculum Reinforcement Learning

    Giovanni Iacca, Alois Knoll, Ozgur S. Oguz, Erdi Sayar p97587-97617 from Advances in Neural Information Processing Systems 37
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  • Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization

    Shutong Ding, Ke Hu, Kan Ren, Ye Shi, Jingya Wang, Jingyi Yu, Weinan Zhang, Zhenhao Zhang p53945-53968 from Advances in Neural Information Processing Systems 37
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  • Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-DICE: In-Sample Diffusion Guidance for Offline Reinforcement Learning

    Liyuan Mao, Haoran Xu, Xianyuan Zhan, Amy Zhang, Weinan Zhang p98806-98834 from Advances in Neural Information Processing Systems 37
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  • Diffusion-Inspired Truncated Sampler for Text-Video Retrieval

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-Inspired Truncated Sampler for Text-Video Retrieval

    Sohail Dianat, Qiang Guan, Dongfang Liu, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao, Jiamian Wang, Pichao Wang p3882-3906 from Advances in Neural Information Processing Systems 37
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