Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings
Paper • 2604.24597 • Published • 1
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Quantum Kernel Advantage over Classical Collapse in Medical Foundation Model Embeddings
Domain-Specific Latent Representations Improve the Fidelity of Diffusion-Based Medical Image Super-Resolution
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Bridging Theory and Practice in Quantum Game Theory: Optimized Implementation of the Battle of the Sexes with Error Mitigation on NISQ Hardware
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Embedding-Aware Quantum-Classical SVMs for Scalable Quantum Machine Learning
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DriftMoE: A Mixture of Experts Approach to Handle Concept Drifts
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Adaptive Machine Learning for Resource-Constrained Environments
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S$^3$-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation
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DengueNet: Dengue Prediction using Spatiotemporal Satellite Imagery for Resource-Limited Countries
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