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Learning the Brain’s Dynamics as a Port-Hamiltonian System: A GNN-Surrogate Metriplectic Twin for Non-Equilibrium Cortical Dynamics and Closed-Loop Neuromodulation
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Emergent Generalization by Representation Learning in Artificial Neural Networks
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Tracking Through Decoupling Singularities: A Singularity-Robust Homotopy-Continuation Extension of Feedback Linearization
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BOCCHI: A More Realistic and Challenging Benchmark for Local Motion Blur Detection with MSDCT-UNet
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FdAudio MeanFlow-Anchored Frchet-Distance Post-Training for One-Step Text-to-Audio Generation
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On the First Derivative Bounds for Rational Bézier Curves
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SynthDocBench: Controlled Benchmark for Long-Context Visual Document Understanding
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TVT-PAPD: Pathology-Aware Prototype Distillation for Self-Supervised Whole Slide Image Classification
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Reconfiguring Subgraphs with Extra Resources
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Self-Supervised Automatic Matting
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Dynamic Rowhammer Threshold Management: Temperature-Aware Threshold Degradation for In-DRAM Defenses
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A Stepwise Questioning Expert-Editor Multi-Agent Framework for Long-Document Summarization
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Vertical Fusion Condensing Internal Representations for Robust ViT Classification
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The Evolution of AI from Image Interpretation Toward Scientific Inference in Nanoparticle Electron Microscopy
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