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Intrinsic Redundancy and Local Robustness in Finite β-Expansion Systems
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LLM-Driven Evolutionary Generation of Multi-Objective Bayesian Optimization Algorithms
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Adaptive Bayes exactly tracks information over intrinsic time
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Matched Generators for the Karhunen–Loève Transform: A Double-Commutator Eigenvalue Theory
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LieBN Batch Normalization over Lie Groups
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Accelerating GPU Inference of Large Language Models with Moderately Unstructured Sparse Weight Matrices
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HERO: A Heterogeneity-Aware Benchmark Library for Federated Continual Learning
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DaDaDa: A Dataset for Data Pricing in Data Marketplaces
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DIRECTOR Accelerating Distributed MoE Serving via Online Proactive Expert Placement
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Reward Transport: Property Control in Flow Matching via Noise-Space Alignment
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SIDMA: Semantic Interleave Division Multiple Access Communication System
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Sticky Routing: Training MoE Models for Memory-Efficient Inference
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Signed Symmetric Quantization for Few-Bit Integers
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iLENS Interpretable LLM-Guided Mixture-of-Experts for Neuroimaging Survival Analysis
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