Neural Information Processing Systems Foundation, Inc. (NeurIPS)

  • Generative Caching for Structurally Similar Prompts and Responses

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Caching for Structurally Similar Prompts and Responses

    Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta p5172-5199 from Advances in Neural Information Processing Systems 38
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  • Generative Category-level Object Pose Estimation via Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Category-level Object Pose Estimation via Diffusion Models

    Jiyao Zhang, Mingdong Wu, Hao Dong p54627-54644 from Advances in Neural Information Processing Systems 36
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  • Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Data Augmentation via Diffusion Distillation, Adversarial Alignment, and Importance Reweighting

    Ruyi An, haicheng huang, Huangjie Zheng, Mingyuan Zhou p76326-76358 from Advances in Neural Information Processing Systems 38
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  • Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative diffusion for perceptron problems: statistical physics analysis and efficient algorithms

    Davide Straziota, Elizaveta Demyanenko, Carlo Baldassi, Carlo Lucibello p124047-124086 from Advances in Neural Information Processing Systems 38
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  • Generative Distribution Embeddings: Lifting autoencoders to the space of distributions for multiscale representation learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Distribution Embeddings: Lifting autoencoders to the space of distributions for multiscale representation learning

    Nic Fishman, Gokul Gowri, Peng Yin, Jonathan Gootenberg, Omar Abudayyeh p27912-27953 from Advances in Neural Information Processing Systems 38
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  • Generative Forests

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Forests

    Richard Nock, Mathieu Guillame-Bert p27919-27977 from Advances in Neural Information Processing Systems 37
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  • Generative Fractional Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Fractional Diffusion Models

    Gabriel Nobis, Maximilian Springenberg, Marco Aversa, Michael Detzel, Rembert Daems, Roderick Murray-Smith, Shinichi Nakajima, Sebastian Lapuschkin, Stefano Ermon, Tolga Birdal, Manfred Opper, Christoph Knochenhauer, Luis Oala, Wojciech Samek p25469-25509 from Advances in Neural Information Processing Systems 37
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  • Generative Graph Pattern Machine

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Graph Pattern Machine

    Zehong Wang, Zheyuan Zhang, Tianyi Ma, Chuxu Zhang, Yanfang Ye p33938-33961 from Advances in Neural Information Processing Systems 38
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  • Generative Hierarchical Materials Search

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Hierarchical Materials Search

    Sherry Yang, Simon Batzner, Ruiqi Gao, Muratahan Aykol, Alexander Gaunt, Brendan McMorrow, Danilo Rezende, Dale Schuurmans, Igor Mordatch, Ekin Cubuk p38799-38819 from Advances in Neural Information Processing Systems 37
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  • Generative Model Inversion Through the Lens of the Manifold Hypothesis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Model Inversion Through the Lens of the Manifold Hypothesis

    Xiong Peng, Bo Han, Fengfei Yu, Tongliang Liu, Feng Liu, Mingyuan Zhou p78702-78741 from Advances in Neural Information Processing Systems 38
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  • Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Modeling of Full-Atom Protein Conformations using Latent Diffusion on Graph Embeddings

    Aditya Sengar, Ali Hariri, Daniel Probst, PATRICK BARTH, Pierre Vandergheynst p28543-28581 from Advances in Neural Information Processing Systems 38
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  • Generative Modeling of Molecular Dynamics Trajectories

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Modeling of Molecular Dynamics Trajectories

    Bowen Jing, Hannes Stärk, Tommi Jaakkola, Bonnie Berger p40534-40564 from Advances in Neural Information Processing Systems 37
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  • Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport

    Jaemoo Choi, Jaewoong Choi, Myungjoo Kang p42433-42455 from Advances in Neural Information Processing Systems 36
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  • Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning

    Changyu Chen, Ramesha Karunasena, Thanh Nguyen, Arunesh Sinha, Pradeep Varakantham p39842-39854 from Advances in Neural Information Processing Systems 36
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  • Generative Modelling of Structurally Constrained Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Modelling of Structurally Constrained Graphs

    Manuel Madeira, Clément Vignac, Dorina Thanou, Pascal Frossard p137218-137262 from Advances in Neural Information Processing Systems 37
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  • Generative Multitask Learning Mitigates Target-Causing Confounding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Multitask Learning Mitigates Target-Causing Confounding

    Taro Makino, Krzysztof Geras, Kyunghyun Cho p36546-36558 from Advances in Neural Information Processing Systems 35
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  • Generative Neural Articulated Radiance Fields

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Neural Articulated Radiance Fields

    Alexander Bergman, Petr Kellnhofer, Wang Yifan, Eric Chan, David Lindell, Gordon Wetzstein p19900-19916 from Advances in Neural Information Processing Systems 35
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  • Generative Neural Fields by Mixtures of Neural Implicit Functions

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Neural Fields by Mixtures of Neural Implicit Functions

    Tackgeun You, Mijeong Kim, Jungtaek Kim, Bohyung Han p20352-20370 from Advances in Neural Information Processing Systems 36
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  • Generative Perception of Shape and Material from Differential Motion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Perception of Shape and Material from Differential Motion

    Xinran Han, Ko Nishino, Todd Zickler p138311-138335 from Advances in Neural Information Processing Systems 38
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  • Generative Pre-trained Autoregressive Diffusion Transformer

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Pre-trained Autoregressive Diffusion Transformer

    Yuan Zhang, Jiacheng Jiang, Guoqing Ma, Zhiying Lu, Bo Wang, Haoyang Huang, Jianlong Yuan, Nan Duan p150275-150297 from Advances in Neural Information Processing Systems 38
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  • Generative property enhancer: implicit guided generation through conditional density estimation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative property enhancer: implicit guided generation through conditional density estimation

    Pedro O. Pinheiro, Pan Kessel, Aya Ismail, Sai Pooja Mahajan, Kyunghyun Cho, Saeed Saremi, Nataša Tagasovska p98076-98103 from Advances in Neural Information Processing Systems 38
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  • Generative Retrieval Meets Multi-Graded Relevance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Retrieval Meets Multi-Graded Relevance

    Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten De Rijke, Wei Chen, Xueqi Cheng p72790-72817 from Advances in Neural Information Processing Systems 37
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  • Generative RLHF-V: Learning Principles from Multi-modal Human Preference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative RLHF-V: Learning Principles from Multi-modal Human Preference

    Jiayi Zhou, Jiaming Ji, Boyuan Chen, Jiapeng Sun, wenqi chen, Donghai Hong, Sirui Han, Yike Guo, Yaodong Yang p139687-139717 from Advances in Neural Information Processing Systems 38
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  • Generative Semi-supervised Graph Anomaly Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Generative Semi-supervised Graph Anomaly Detection

    Hezhe Qiao, Qingsong Wen, Xiaoli Li, Ee-Peng Lim, Guansong Pang p4660-4688 from Advances in Neural Information Processing Systems 37
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