Not All Uncertainty Matters: Simulation-in-the-Loop Fast-Slow Reasoning for Decision-Critical Autonomous Driving System
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CircuitATLAS: Agentic reasoning over a systems neuroscience knowledge graph for target discovery in circuitopathies
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Few-Shot Learning for Personalised Automated Pain Assessment
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Decoupled Optimization for Teacher-Student Semi-Supervised Learning via a Pioneer Student
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Sequential Pretraining Favors Large Models
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Real-world application of deep learning in large-scale seismic interference attenuation: A case study in the Camie field of Angola
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The Identifiability and Observability of Deep Normalized Attention
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Adaptive Code Generation for Controlling Robots
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Healthy skepticism in AI: a data visualization research agenda
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Beyond Policy Support: Interaction Constrained Offline Reinforcement Learning for Autonomous Driving
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Fully Interpretable Minimal Transformers: From Geometry to Algorithm
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Document Optimization for Black-Box Retrieval via Reinforcement Learning
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