SV-WAM: An Efficient Surround-View World-Action Model for End-to-End Autonomous Driving
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$\pi$-StepNFT: Wider Space Needs Finer Steps in Online RL for Flow-based VLAs
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Adaptive Uncertainty Quantification on Simplicial Complexes with Conformalized Simplicial Neural Networks
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When AI Investigators Cannot Trust Their Tools: Conflict-Aware Evidence Verification for Cyber Threat Investigation
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Coarse-Graining Optimal Transport for Rollout-Free Post-Training of Flow Matching
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AuditFL: A Contract-Backed Clearing Layer for Open Federated Learning
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DeepWeave: Weaving Neural and Symbolic Evidence for ML-Based Network Intrusion Detection System
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Estimation of Quantum Umlaut Information
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Riemannian Optimization on Unknown Manifolds via Stochastic Proximal Refinement
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Reliability-Weighted Direct Preference Optimization: Penalized Weights for Robust Preference Learning
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Conditional Neural SDEs for Financial Time-Series Generation
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PDE-Residual-Informed Kriging
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