When Should a Satellite Estimate Be Changed? Stress-Testing Neural Corrections for Evapotranspiration
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Fisher-IRG: Fisher-Induced Local Invariant Representation Geometry across Language and Vision Models
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Scalable In-Context Reinforcement Learning with Recurrent Algorithm Distillation
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DRHeC: Differentiable Rendering for Hand-Eye Calibration with RGB-Based Gradients
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ARGOS: Reinforcement Learning-Driven Multidimensional Elasticity for Service Orchestration in the Computing Continuum
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OPFL: Optimistic Verification of Federated Learning via Empirical Boundary
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LongSpark: Efficient speculative decoding with a fixed-cost parallel drafter
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Distilling Privileged Control Barrier Functions into RGB-Only Safety Filters for Dynamic Visual Navigation
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NowcastDiT: Diffusion Transformers are Effective Precipitation Nowcasters
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Quantum Fidelity Landscape-Guided Prior Calibration for Single-Circuit QGAN Image Generation
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PE-OPSD: Internalizing Prompt Enhancement into Flow-matching Models via On-Policy Self-Distillation
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Weighting Schedules Govern What and When Score-Based Generative Models Learn from Multimodal Data
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