In-station UAV path planning based on multi-agent reinforcement learning and dynamic environment modeling

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SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks

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A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One

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Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection

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Extremal graphical modeling with latent variables via convex optimization

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Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions

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Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection

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Extremal graphical modeling with latent variables via convex optimization

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Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions

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Reliever: Relieving the Burden of Costly Model Fits for Changepoint Detection

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Extremal graphical modeling with latent variables via convex optimization

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Bayesian Sparse Gaussian Mixture Model for Clustering in High Dimensions

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Joint Estimation and Inference for Data Integration Problems based on Multiple Multi-layered Gaussian Graphical Models

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Comparative Reflection on Best Known Instructional Design Models: Notes from the Field

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Scaling Capability in Token Space: An Analysis of Large Vision Language Model

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Model-free Change-Point Detection Using AUC of a Classifier

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BitNet: 1-bit Pre-training for Large Language Models

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On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls

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On the Statistical Properties of Generative Adversarial Models for Low Intrinsic Data Dimension

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Determine the Number of States in Hidden Markov Models via Marginal Likelihood

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