Paper

  • 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, Haotian Xue, Yongxin Chen 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 Probabilistic Models for Structured Node Classification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion Probabilistic Models for Structured Node Classification

    Hyosoon Jang, Seonghyun Park, Sangwoo Mo, Sungsoo Ahn p32075-32101 from Advances in Neural Information Processing Systems 36
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  • Diffusion Representation for Asymmetric Kernels via Magnetic Transform

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion Representation for Asymmetric Kernels via Magnetic Transform

    Mingzhen He, Fan He, Ruikai Yang, Xiaolin Huang p53742-53761 from Advances in Neural Information Processing Systems 36
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  • Diffusion Schrödinger Bridge Matching

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion Schrödinger Bridge Matching

    Yuyang Shi, Valentin De Bortoli, Andrew Campbell, Arnaud Doucet p62183-62223 from Advances in Neural Information Processing Systems 36
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  • Diffusion Self-Guidance for Controllable Image Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion Self-Guidance for Controllable Image Generation

    Dave Epstein, Allan Jabri, Ben Poole, Alexei Efros, Aleksander Holynski 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

    Dmitry Shribak, Chen-Xiao Gao, Yitong Li, Chenjun Xiao, Bo Dai 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

    Jincheng Zhong, Xingzhuo Guo, Jiaxiang Dong, Mingsheng Long 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

    Giangiacomo Mercatali, Yogesh Verma, Andre Freitas, Vikas Garg 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

    Ayush Tewari, Tianwei Yin, George Cazenavette, Semon Rezchikov, Josh Tenenbaum, Fredo Durand, Bill Freeman, Vincent Sitzmann 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

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