Paper

  • PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PLASTIC: Improving Input and Label Plasticity for Sample Efficient Reinforcement Learning

    Hojoon Lee, Hanseul Cho, Hyunseung Kim, Daehoon Gwak, Joonkee Kim, Jaegul Choo, Se-Young Yun, Chulhee Yun p62270-62295 from Advances in Neural Information Processing Systems 36
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  • PlasticityNet: Learning to Simulate Metal, Sand, and Snow for Optimization Time Integration

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PlasticityNet: Learning to Simulate Metal, Sand, and Snow for Optimization Time Integration

    Xuan Li, Yadi Cao, Minchen Li, Yin Yang, Craig Schroeder, Chenfanfu Jiang p27783-27796 from Advances in Neural Information Processing Systems 35
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  • PLIP: Language-Image Pre-training for Person Representation Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PLIP: Language-Image Pre-training for Person Representation Learning

    Jialong Zuo, Jiahao Hong, Feng Zhang, Changqian Yu, Hanyu Zhou, Changxin Gao, Nong Sang, Jingdong Wang p45666-45702 from Advances in Neural Information Processing Systems 37
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  • Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Plug-and-Play Stability for Intracortical Brain-Computer Interfaces: A One-Year Demonstration of Seamless Brain-to-Text Communication

    Chaofei Fan, Nick Hahn, Foram Kamdar, Donald Avansino, Guy Wilson, Leigh Hochberg, Krishna V Shenoy, Jaimie Henderson, Francis Willett p42258-42270 from Advances in Neural Information Processing Systems 36
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  • Pluralistic Image Completion with Gaussian Mixture Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Pluralistic Image Completion with Gaussian Mixture Models

    Xiaobo Xia, Wenhao Yang, Jie Ren, Yewen Li, Yibing Zhan, Bo Han, Tongliang Liu p24087-24100 from Advances in Neural Information Processing Systems 35
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  • PoET: A generative model of protein families as sequences-of-sequences

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    PoET: A generative model of protein families as sequences-of-sequences

    Timothy Truong Jr, Tristan Bepler p77379-77415 from Advances in Neural Information Processing Systems 36
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  • Point Cloud Completion with Pretrained Text-to-Image Diffusion Models

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Point Cloud Completion with Pretrained Text-to-Image Diffusion Models

    Yoni Kasten, Ohad Rahamim, Gal Chechik p12171-12191 from Advances in Neural Information Processing Systems 36
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  • Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Point Cloud Matters: Rethinking the Impact of Different Observation Spaces on Robot Learning

    Haoyi Zhu, Yating Wang, Di Huang, Weicai Ye, Wanli Ouyang, Tong He p77799-77830 from Advances in Neural Information Processing Systems 37
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  • Point Transformer V2: Grouped Vector Attention and Partition-Based Pooling

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Point Transformer V2: Grouped Vector Attention and Partition-Based Pooling

    Xiaoyang Wu, Yixing Lao, Li Jiang, Xihui Liu, Hengshuang Zhao p33330-33342 from Advances in Neural Information Processing Systems 35
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  • Point-M2AE: Multi-Scale Masked Autoencoders for Hierarchical Point Cloud Pre-Training

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Point-M2AE: Multi-Scale Masked Autoencoders for Hierarchical Point Cloud Pre-Training

    Renrui Zhang, Ziyu Guo, Peng Gao, Rongyao Fang, Bin Zhao, Dong Wang, Yu Qiao, Hongsheng Li p27061-27074 from Advances in Neural Information Processing Systems 35
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  • Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Point-PRC: A Prompt Learning Based Regulation Framework for Generalizable Point Cloud Analysis

    Hongyu Sun, Qiuhong Ke, Yongcai Wang, Wang Chen, Kang Yang, Deying Li, Jianfei Cai p118456-118482 from Advances in Neural Information Processing Systems 37
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  • POINT-SUPPORT REINFORCEMENT FOR A HIGHLY EFFICIENT TIMBER HOLLOW CORE SLAB SYSTEM

    World Conference on Timber Engineering 2023 (WCTE 2023)

    POINT-SUPPORT REINFORCEMENT FOR A HIGHLY EFFICIENT TIMBER HOLLOW CORE SLAB SYSTEM

    Cristóbal Tapia, Hans Jakob Wagner, Simon Treml, Achim Menges, Simon Aicher p2978-2986 from World Conference on Timber Engineering (WCTE 2023)
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