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ArXiv Papers Related to Computer Science, AI, Deep Learning, Computer Vision, NLP, etc

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arXiv
🗒Weighted, Bipartite, or Directed Stream Graphs for the Modeling of Temporal Networks.
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arXiv
🗒Similarity Problems in High Dimensions.
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arXiv
🗒Image-Adaptive GAN based Reconstruction.
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arXiv
🗒Binary neutron star mergers: effects of spin and post-merger dynamics.
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arXiv
🗒GANPOP: Generative Adversarial Network Prediction of Optical Properties from Single Snaps...
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arXiv
🗒Tensor Canonical Correlation Analysis.
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arXiv
🗒Optimal low rank tensor recovery.
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arXiv
🗒Optimizing Redundancy Levels in Master-Worker Compute Clusters for Straggler Mitigation.
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arXiv
🗒Dynamical Friction in Interacting Relativistic Systems.
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arXiv
🗒Can Life Exist in 2 + 1 Dimensions?.
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arXiv
🗒HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for Scene Flow Estimation on Large...
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arXiv
🗒Sub-Goal Trees -- a Framework for Goal-Directed Trajectory Prediction and Optimization.
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arXiv
🗒MOPED: Efficient priors for scalable variational inference in Bayesian deep neural networks.
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arXiv
🗒COMET: Commonsense Transformers for Automatic Knowledge Graph Construction.
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arXiv
🗒Emergent de Sitter epoch of the Loop Quantum Cosmos: a detailed analysis.
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arXiv
🗒The Orbital Lense-Thirring Precession in a Strong Field.
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arXiv
🗒Learning Curves for Deep Neural Networks: A Gaussian Field Theory Perspective.
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arXiv
🗒Primordial dark matter halos from fifth-forces.
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arXiv
🗒Constraining the SMEFT with Bayesian reweighting.
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arXiv
🗒Escape speed of stellar clusters from multiple-generation black-hole mergers in the upper...
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arXiv
🗒Probing a Scalar Singlet-Catalyzed Electroweak Phase Transition with Resonant Di-Higgs Pr...
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