Paper

  • CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CRoSS: Diffusion Model Makes Controllable, Robust and Secure Image Steganography

    Jiwen Yu, Xuanyu Zhang, Youmin Xu, Jian Zhang p80730-80743 from Advances in Neural Information Processing Systems 36
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  • CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code Completion

    Yangruibo Ding, Zijian Wang, Wasi Ahmad, Hantian Ding, Ming Tan, Nihal Jain, Murali Krishna Ramanathan, Ramesh Nallapati, Parminder Bhatia, Dan Roth, Bing Xiang p46701-46723 from Advances in Neural Information Processing Systems 36
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  • CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CrossGNN: Confronting Noisy Multivariate Time Series Via Cross Interaction Refinement

    Qihe Huang, Lei Shen, Ruixin Zhang, Shouhong Ding, Binwu Wang, Zhengyang Zhou, Yang Wang p46885-46902 from Advances in Neural Information Processing Systems 36
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  • Crowding Out Effect of Carbon Emission Regulation Policy and Industrial Transfer

    Aussino Academic Publishing House (AAPH)

    Crowding Out Effect of Carbon Emission Regulation Policy and Industrial Transfer

    HAN Shuxiao, LUAN Shichao, ZHOU Zejia p128-136 from 14th International Conference on Logistics and Systems Engineering (ICLSE 2024)
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  • CRT-Fusion: Camera, Radar, Temporal Fusion Using  Motion Information  for 3D Object Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CRT-Fusion: Camera, Radar, Temporal Fusion Using Motion Information for 3D Object Detection

    Jisong Kim, Minjae Seong, Jun Won Choi p108625-108648 from Advances in Neural Information Processing Systems 37
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  • CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CryoBench: Diverse and challenging datasets for the heterogeneity problem in cryo-EM

    Minkyu Jeon, Rishwanth Raghu, Miro Astore, Geoffrey Woollard, Ryan Feathers, Alkin Kaz, Sonya Hanson, Pilar Cossio, Ellen Zhong p89468-89512 from Advances in Neural Information Processing Systems 37
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  • CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy

    Jiakai Zhang, Qihe Chen, Yan Zeng, Wenyuan Gao, Xuming He, Zhijie Liu, Jingyi Yu p63222-63249 from Advances in Neural Information Processing Systems 37
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  • Cryogenic Feed System Flow Optimization Through Pre-Chill: Analysis of Liquid Nitrogen and Liquid Oxygen Testing

    International Astronautical Federation (IAF)

    Cryogenic Feed System Flow Optimization Through Pre-Chill: Analysis of Liquid Nitrogen and Liquid Oxygen Testing

    Emily Hesby, Connor Storey, Tolou Pharokhipanah p947-957 from IAF Space Propulsion Symposium
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  • Cryogenic Transfer Module: Israeli GTO Upper Stage Project from the Late 1980’s

    International Astronautical Federation (IAF)

    Cryogenic Transfer Module: Israeli GTO Upper Stage Project from the Late 1980’s

    Tal Inbar p234-238 from 58th IAA History of Astronautics Symposium
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  • CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CryoSPIN: Improving Ab-Initio Cryo-EM Reconstruction with Semi-Amortized Pose Inference

    Shayan Shekarforoush, David Lindell, Marcus Brubaker, David Fleet p55785-55809 from Advances in Neural Information Processing Systems 37
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  • CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    CryptoGCN: Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference

    Ran Ran, Wei Wang, Quan Gang, Jieming Yin, Nuo Xu, Wujie Wen p37676-37689 from Advances in Neural Information Processing Systems 35
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  • Cryptographic Hardness of Learning Halfspaces with Massart Noise

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Cryptographic Hardness of Learning Halfspaces with Massart Noise

    Ilias Diakonikolas, Daniel Kane, Pasin Manurangsi, Lisheng Ren p3624-3636 from Advances in Neural Information Processing Systems 35
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