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arXiv
🗒Serving DNNs like Clockwork: Performance Predictability from the Bottom Up.
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arXiv
🗒Shallow Neural Hawkes: Non-parametric kernel estimation for Hawkes processes.
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arXiv
🗒A Distributed Trust Framework for Privacy-Preserving Machine Learning.
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arXiv
🗒Time Series Methods and Ensemble Models to Nowcast Dengue at the State Level in Brazil.
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arXiv
🗒The LUX-ZEPLIN (LZ) radioactivity and cleanliness control programs.
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arXiv
🗒Plots of the cumulative differences between observed and expected values of ordered Berno...
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arXiv
🗒Wireless Communications for Collaborative Federated Learning in the Internet of Things.
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arXiv
🗒Autonomous Materials Discovery Driven by Gaussian Process Regression with Inhomogeneous M...
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arXiv
🗒XGNN: Towards Model-Level Explanations of Graph Neural Networks.
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arXiv
🗒Debiased Sinkhorn barycenters.
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arXiv
🗒Improving the light yield of NaI(Tl) crystal detectors.
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arXiv
🗒Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X...
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arXiv
🗒Extracting COVID-19 Events from Twitter.
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arXiv
🗒Structural balance in signed digraphs: considering transitivity to measure balance in gra...
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arXiv
🗒Generalized Penalty for Circular Coordinate Representation.
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arXiv
🗒Graphical Normalizing Flows.
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arXiv
🗒A Convolutional Deep Markov Model for Unsupervised Speech Representation Learning.
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arXiv
🗒Classification with Valid and Adaptive Coverage.
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arXiv
🗒A Survey on Deep Learning Techniques for Stereo-based Depth Estimation.
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arXiv
🗒Graviballs and Dark Matter.
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