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arXiv
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Shortest Paths in Complex Networks: Structure and Optimization.
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Separable and Semiparametric Network-based Counting Processes applied to the Internationa...
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A Survey on Edge Intelligence.
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Log-Likelihood Ratio Minimizing Flows: Towards Robust and Quantifiable Neural Distributio...
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A Collective Learning Framework to Boost GNN Expressiveness.
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Adversarial System Variant Approximation to Quantify Process Model Generalization.
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An improved 3D region detection network: automated detection of the 12th thoracic vertebr...
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A Principled Approach to Learning Stochastic Representations for Privacy in Deep Neural I...
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Shouts and Murmurs: Combining Individual Gravitational-Wave Sources with the Stochastic B...
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Deep 3D Capture: Geometry and Reflectance from Sparse Multi-View Images.
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Self-Supervised Learning for Domain Adaptation on Point-Clouds.
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Combining Visible and Infrared Spectrum Imagery using Machine Learning for Small Unmanned...
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The impossibility of low rank representations for triangle-rich complex networks.
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Detection and Description of Change in Visual Streams.
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An Automated Framework for Board-level Trojan Benchmarking.
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A Truthful Auction for Graph Job Allocation in Vehicular Cloud-assisted Networks.
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MCFlow: Monte Carlo Flow Models for Data Imputation.
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On the Evaluation of Prohibited Item Classification and Detection in Volumetric 3D Comput...
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SceneCAD: Predicting Object Alignments and Layouts in RGB-D Scans.
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Image compression optimized for 3D reconstruction by utilizing deep neural networks.
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