Colorectal Cancer Segmentation with Adaptive Augmentation and Multi-Resolution Ensemble Models
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Structure-aware Reinforcement Learning for Protein Directed Evolution
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Beyond Semantics: How Temporal Biases Shape Retrieval in Transformer and State-Space Models
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Evaluating Whether GPT-6 Astra Performs Unsanctioned Supply-Chain Attacks
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What Was Said, Not What Was 'Thought': Type-6 Logic for CoT Verification
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The Missing Coefficients: Bayesian Pairwise Merging for Model Personalization
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GeoWAM: Visual Geometry World Action Models for Autonomous Driving
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GlanceWAM: Sparse Test-Time Imagination for World-Action Models
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Derandomizing Dense Binary Hypervector Codebooks for Quantized Scalars
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From Dataset Spectral Geometry to Network Weights: A Geometry-Aware Initialization for Sigmoidal MLPs in Image Classification
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HO-FL: Hybrid-Order Federated Learning for Heterogeneous Edge Devices
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Parameter symmetries determine representational geometry in overparameterized nonlinear networks
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