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🗒Minibatch Gibbs Sampling on Large Graphical Models.
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🗒Integral geometry on manifolds with boundary and applications.
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🗒Crime Event Embedding with Unsupervised Feature Selection.
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🗒Unsupervised Training for 3D Morphable Model Regression.
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🗒Non-Negative Networks Against Adversarial Attacks.
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🗒Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data.
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🗒Fairness Under Composition.
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🗒On the Relationship between Data Efficiency and Error for Uncertainty Sampling.
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🗒Supervised Fuzzy Partitioning.
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🗒Tight Bound of Incremental Cover Trees for Dynamic Diversification.
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🗒Epidemic threshold in pairwise models for clustered networks: closures and fast correlati...
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🗒Morse Theory and an Impossibility Theorem for Graph Clustering.
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🗒Learning kernels that adapt to GPU.
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🗒BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning.
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🗒Attack Surface Metrics and Privilege-based Reduction Strategies for Cyber-Physical Systems.
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🗒Learning Factorized Multimodal Representations.
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🗒Fast Distance Sensitivity Oracle for Multiple Failures.
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