Debiased Distributed Learning for Sparse Partial Linear Models in High Dimensions

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

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Teaching Research as an Interdependent Practice: Bringing Alternate Models into the Scholarly Conversation

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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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Automated brain tumor detection using advanced deep learning models

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

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3D geomechanical modeling of the response of the Wilzetta Fault to saltwater disposal

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Reconstructing landscapes: an adjoint model of the stream power and diffusion erosion equation

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Setting up the physical principles of resilience in a model of the Earth System

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Numerical strategies for representing Richards' equation and its couplings in snowpack models

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Structuring the transfer of development rights model and its principles of implementation in Türkiye

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Surface network extraction from high resolution digital terrain models

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

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Inter‐Model Feature Fusion for Robust Low‐Resource Speech Recognition

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RAGLRO: Retrieval‐Augmented Generation With Large Language Models for Robotic Operations

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Opinion Evolution and Guidance Model Based on Social Networks and Information Networks

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

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