Locally Private Inference for Riemannian Stochastic Optimization
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When Does Test-Time Physical Diagnosis Pay? A Frozen Policy Buys Evidence It Never Reads
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CLIP-Powered Domain Generalization and Domain Adaptation: A Comprehensive Survey
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Gradient-estimator design overcomes trainability barriers in neural-network-based variational optimization
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When is a closed-form RGB->S/P ratio adequate? A hyperspectral characterization on natural scenes for mesopic display
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Learning and Control Beyond Linearity: Towards a Non-asymptotic Theory for Bilinear Systems
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LazyAgent: Demand-Driven Materialization and Physical Optimization of Agentic Programs
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Knowledge-Graph Grounding Helps LLMs Only for Out-of-Training Knowledge: A Controlled Study on Clinical Question Answering
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VRWKV-Editor: Reducing quadratic complexity in transformer-based video editing
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Metadata Supervised Imaging Representations for Modelling and Controlling Acquisition Variability
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Single Point, Full Mask: Velocity-Guided Level Set Evolution for End-to-End Amodal Segmentation
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Semantics Delivery Network: Rethinking Web Retrieval Infrastructure for LLM Agents
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