Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • 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 Transformers as Open-World Spatiotemporal Foundation Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion Transformers as Open-World Spatiotemporal Foundation Models

    Yuan Yuan, Chonghua Han, Jingtao Ding, Guozhen Zhang, Depeng Jin, Yong Li p34408-34435 from Advances in Neural Information Processing Systems 38
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  • Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion Transformers for Imputation: Statistical Efficiency and Uncertainty Quantification

    Zeqi Ye, Minshuo Chen p136689-136740 from Advances in Neural Information Processing Systems 38
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  • Diffusion Tree Sampling: Scalable inference‑time alignment of diffusion models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion Tree Sampling: Scalable inference‑time alignment of diffusion models

    Vineet Jain, Kusha Sareen, Mohammad Pedramfar, Siamak Ravanbakhsh p161584-161623 from Advances in Neural Information Processing Systems 38
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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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  • 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

    Haotian Xue, Alexandre Araujo, Bin Hu, Yongxin Chen 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

    Erdi Sayar, Giovanni Iacca, Ozgur S. Oguz, Alois Knoll p97587-97617 from Advances in Neural Information Processing Systems 37
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  • Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-Based Hierarchical Graph Neural Networks for Simulating Nonlinear Solid Mechanics

    Tobias Würth, Niklas Freymuth, Gerhard Neumann, Luise Kärger p144338-144367 from Advances in Neural Information Processing Systems 38
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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

    Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu 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, Zhenhao Zhang, Kan Ren, Weinan Zhang, Jingyi Yu, Jingya Wang, Ye Shi p53945-53968 from Advances in Neural Information Processing Systems 37
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  • Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-Classifier Synergy: Reward-Aligned Learning via Mutual Boosting Loop for FSCIL

    Ruitao Wu, Yifan Zhao, Guangyao Chen, Jia Li p71590-71617 from Advances in Neural Information Processing Systems 38
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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, Weinan Zhang, Amy Zhang p98806-98834 from Advances in Neural Information Processing Systems 37
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  • Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation

    Yuyang Huang, Yabo Chen, Junyu Zhou, Wenrui Dai, XIAOPENG ZHANG, Junni Zou, Hongkai Xiong, Qi Tian p120649-120669 from Advances in Neural Information Processing Systems 38
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  • Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-Driven Two-Stage Active Learning for Low-Budget Semantic Segmentation

    Jeongin Kim, Wonho Bae, YouLee Han, Giyeong Oh, Youngjae Yu, Danica J. Sutherland, Junhyug Noh p25480-25506 from Advances in Neural Information Processing Systems 38
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  • Diffusion-Guided Graph Data Augmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-Guided Graph Data Augmentation

    Maria Marrium, Arif Mahmood, Muhammad Haris Khan, M. Shakeel, Wenxiong Kang p173361-173393 from Advances in Neural Information Processing Systems 38
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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

    Jiamian Wang, Pichao Wang, Dongfang Liu, Qiang Guan, Sohail Dianat, Majid Rabbani, Raghuveer Rao, Zhiqiang Tao p3882-3906 from Advances in Neural Information Processing Systems 37
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  • Diffusion-LM Improves Controllable Text Generation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-LM Improves Controllable Text Generation

    Xiang Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori Hashimoto p4328-4343 from Advances in Neural Information Processing Systems 35
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  • Diffusion-Reward Adversarial Imitation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Diffusion-Reward Adversarial Imitation Learning

    Chun-Mao Lai, Hsiang-Chun Wang, Ping-Chun Hsieh, Yu-Chiang Wang, Min-Hung Chen, Shao-Hua Sun p95456-95487 from Advances in Neural Information Processing Systems 37
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