Paper

  • DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DynGFN: Towards Bayesian Inference of Gene Regulatory Networks with GFlowNets

    Lazar Atanackovic, Yoshua Bengio, Jason Hartford, Leo J Lee, Alexander Tong, Bo Wang p74410-74428 from Advances in Neural Information Processing Systems 36
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  • DynPoint: Dynamic Neural Point For View Synthesis

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    DynPoint: Dynamic Neural Point For View Synthesis

    Kai Lu, Andrew Markham, Sangyun Shin, Niki Trigoni, Yiyuan Yang, Jia-Xing Zhong, Kaichen Zhou p69532-69545 from Advances in Neural Information Processing Systems 36
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  • E-commerce Category Stock Forecasting Using CNN-LSTM Model: A Deep Learning Approach

    Aussino Academic Publishing House (AAPH)

    E-commerce Category Stock Forecasting Using CNN-LSTM Model: A Deep Learning Approach

    Zijing WANG p2028-2035 from 13th International Symposium on Project Management (ISPM2025)
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  • E-commerce Live Broadcasting Effect On Clothing Consumers Purchasing Intention

    Textile Bioengineering and Informatics Society Limited (TBIS)

    E-commerce Live Broadcasting Effect On Clothing Consumers Purchasing Intention

    Zi-Yi Liu, You-Fang Chen, Xiao-Wei Song p69-76 from 17th Textile Bioengineering and Informatics Symposium Proceedings (TBIS 2024)
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  • e-COP : Episodic Constrained Optimization of Policies

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    e-COP : Episodic Constrained Optimization of Policies

    Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Sahil Singla p110909-110934 from Advances in Neural Information Processing Systems 37
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  • E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    E-MAPP: Efficient Multi-Agent Reinforcement Learning with Parallel Program Guidance

    Can Chang, Ni Mu, Ling Pan, Jiajun Wu, Huazhe Xu p12154-12168 from Advances in Neural Information Processing Systems 35
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  • E-Motion: Future Motion Simulation via Event Sequence Diffusion

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    E-Motion: Future Motion Simulation via Event Sequence Diffusion

    Junhui Hou, Guangming Shi, Jinjian Wu, Song Wu, Zhiyu Zhu p105552-105582 from Advances in Neural Information Processing Systems 37
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  • E.Inspector:VIS-IR Imaging Real Debris to Support Active Removal and on Orbit Servicing

    International Astronautical Federation (IAF)

    E.Inspector:VIS-IR Imaging Real Debris to Support Active Removal and on Orbit Servicing

    Michèle Lavagna, Stefano Silvestrini, Lorenzo Capra, Michele Bechini, Michele Ceresoli, Matteo Quirino, Demetrio Labate, Matteo Duzzi, Stefan-Vlad Tudor, Andrea Colagrossi, Robin Biesbroek p273-286 from IAF Space Systems Symposium
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  • E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding

    Chang Chen, Ye Liu, Zongyang Ma, Zhongang Qi, Ying Shan, Yang Wu p32076-32110 from Advances in Neural Information Processing Systems 37
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  • E2C® Solutions for Sustainability and Performance for the Tire Applications

    Rubber Division - American Chemical Society (ACS)

    E2C® Solutions for Sustainability and Performance for the Tire Applications

    Jiaxi Li p302-309 from Fall Technical Meeting of the Rubber Division, American Chemical Society 2024
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  • E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    E2E-MFD: Towards End-to-End Synchronous Multimodal Fusion Detection

    Mingxiang Cao, Wenbo Huang, Jie Lei, Daixun Li, Yunsong Li, Weiying Xie, Xue Yang, Jiaqing Zhang p52296-52322 from Advances in Neural Information Processing Systems 37
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  • E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image Segmentation

    Shiwei Liu, Decebal Mocanu, Elena Mocanu, Mykola Pechenizkiy, Maurice van Keulen, Boqian Wu, Qiao Xiao, Lu Yin p118483-118512 from Advances in Neural Information Processing Systems 37
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