Paper

  • Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Gaussian Markov Random Fields for Graph-Structured Dynamical Systems

    Fiona Lippert, Bart Kranstauber, Emiel Van Loon, Patrick Forré p76248-76271 from Advances in Neural Information Processing Systems 36
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  • Deep Generalized Schrödinger Bridge

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Generalized Schrödinger Bridge

    Guan-Horng Liu, Tianrong Chen, Oswin So, Evangelos Theodorou p9374-9388 from Advances in Neural Information Processing Systems 35
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  • Deep Generative Model for Periodic Graphs

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Generative Model for Periodic Graphs

    Shiyu Wang, Xiaojie Guo, Liang Zhao p35797-35810 from Advances in Neural Information Processing Systems 35
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  • Deep Graph Mating

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Graph Mating

    Yongcheng Jing, Seok-Hee Hong, Dacheng Tao p9753-9772 from Advances in Neural Information Processing Systems 37
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  • Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module

    Jingbo Zhou, Yixuan Du, Ruqiong Zhang, Jun Xia, Zhizhi Yu, Zelin Zang, Di Jin, Carl Yang, Rui Zhang, Stan Z. Li p68211-68238 from Advances in Neural Information Processing Systems 37
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  • Deep Hashing with Multi-Level Contrastive Learning Framework for Remote Sensing Image Retrieval

    International Astronautical Federation (IAF)

    Deep Hashing with Multi-Level Contrastive Learning Framework for Remote Sensing Image Retrieval

    Mingkun Li, Zihan Yin, Manyi Guo, Wenqian Yang, Xiaoning Zhao p1117-1126 from IAF Earth Observation Symposium
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  • Deep Hierarchical Planning from Pixels

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Hierarchical Planning from Pixels

    Danijar Hafner, Kuang-Huei Lee, Ian Fischer, Pieter Abbeel p26091-26104 from Advances in Neural Information Processing Systems 35
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  • Deep Homomorphism Networks

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Homomorphism Networks

    Takanori Maehara, Hoang Nt p56076-56107 from Advances in Neural Information Processing Systems 37
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  • Deep Insights into Noisy Pseudo Labeling on Graph Data

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Insights into Noisy Pseudo Labeling on Graph Data

    Botao Wang, Jia Li, Yang Liu, Jiashun Cheng, Yu Rong, Wenjia Wang, Fugee Tsung p76214-76228 from Advances in Neural Information Processing Systems 36
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  • Deep Invariant Networks with Differentiable Augmentation Layers

    Neural Information Processing Systems Foundation, Inc. (NeurIPS)

    Deep Invariant Networks with Differentiable Augmentation Layers

    Cédric Rommel, Thomas Moreau, Alexandre Gramfort p35672-35683 from Advances in Neural Information Processing Systems 35
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  • Deep Learning and Reinforcement Learning Applications for Re-Entry Trajectory Optimization

    International Astronautical Federation (IAF)

    Deep Learning and Reinforcement Learning Applications for Re-Entry Trajectory Optimization

    Paula Gutierrez, Francesc Casanovas Gassó, Mann Patira p904-914 from IAF Space Systems Symposium
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  • Deep Learning Based Resolution of Attitude Ambiguities for Relative Pose Estimation of Unknown and Uncooperative Targets

    International Astronautical Federation (IAF)

    Deep Learning Based Resolution of Attitude Ambiguities for Relative Pose Estimation of Unknown and Uncooperative Targets

    Matteo Rosa, Maria A. De Luca, Niccolò Faraco, Michele Maestrini, Pierluigi Di Lizia p1869-1878 from IAF Astrodynamics Symposium
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