ElasticMem: Latent Memory as a Learnable Resource for LLM Agents
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Bayesian Data Augmentation for DNN Retraining with Binomial Outcomes in Vision-Based UAV Landing
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Ultrasound Operator Guidance Using World Modeling and Retrieval Based Action Planning
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GO-Based Clustering for Learning Cluster-Level Causal Gene Regulatory Networks
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SoK: Semantic Decision Engines in Network Control Loops
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Flash-OPD: Fast On-Policy Distillation
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Langevin Flow Maps: Efficient Molecular Dynamics and Transition Path Sampling
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ExpHarness: Model-Agnostic Experience Learning through a Trainable Harness
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Learning While Scheduling Jobs under Context-Dependent Service Rates: An Anytime Rate-Optimal Algorithm
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Spectral Geometry of Attention: From Information Routing to Uncertainty
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Machine Learning for Coding Retail Product Names to Consumer-Price Categories: A Rule-plus-Bag-of-Words Pipeline with Reliability-Weighted Human-in-the-Loop Labeling
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How well do routinely collected demographic and clinical variables aid point-of-care lung ultrasound TB classification
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