Paper

  • Diffusion Self-Guidance for Controllable Image Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion Self-Guidance for Controllable Image Generation

    Alexei Efros, Dave Epstein, Aleksander Holynski, Allan Jabri, Ben Poole p16222-16239 from Advances in Neural Information Processing Systems 36
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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 Visual Counterfactual Explanations

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion Visual Counterfactual Explanations

    Maximilian Augustin, Valentyn Boreiko, Francesco Croce, Matthias Hein p364-377 from Advances in Neural Information Processing Systems 35
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  • Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision

    George Cazenavette, Fredo Durand, Bill Freeman, Semon Rezchikov, Vincent Sitzmann, Josh Tenenbaum, Ayush Tewari, Tianwei Yin p12349-12362 from Advances in Neural Information Processing Systems 36
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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 Adversarial Sample Generation for Improved Stealthiness and Controllability

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability

    Alexandre Araujo, Yongxin Chen, Bin Hu, Haotian Xue p2894-2921 from Advances in Neural Information Processing Systems 36
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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 Molecule Generation with Informative Prior Bridges

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-Based Molecule Generation with Informative Prior Bridges

    Chengyue Gong, Qiang Liu, Xingchao Liu, Lemeng Wu, Mao Ye p36533-36545 from Advances in Neural Information Processing Systems 35
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  • Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-Based Probabilistic Uncertainty Estimation for Active Domain Adaptation

    Zhekai Du, Jingjing Li p17129-17155 from Advances in Neural Information Processing Systems 36
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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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