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1. Star-Agents: Automatic Data Optimization with LLM Agents for Instruction Tuning

2. Verification of Neural Control Barrier Functions with Symbolic Derivative Bounds Propagation

3. Scalable Synthesis of Formally Verified Neural Value Function for Hamilton-Jacobi Reachability Analysis

4. Rocket Landing Control with Random Annealing Jump Start Reinforcement Learning

5. RealMAN: A Real-Recorded and Annotated Microphone Array Dataset for Dynamic Speech Enhancement and Localization

7. EPIDetect: Video-based convulsive seizure detection in chronic epilepsy mouse model for anti-epilepsy drug screening

8. Controllability Test for Nonlinear Datatic Systems

9. The Feasibility of Constrained Reinforcement Learning Algorithms: A Tutorial Study

10. Policy Bifurcation in Safe Reinforcement Learning

11. A robust audio deepfake detection system via multi-view feature

13. Accurate Prediction of Coronary Heart Disease for Patients With Hypertension From Electronic Health Records With Big Data and Machine-Learning Methods: Model Development and Performance Evaluation

14. DenseMamba: State Space Models with Dense Hidden Connection for Efficient Large Language Models

15. SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-Resolution

16. On the Stability of Datatic Control Systems

17. Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model

22. Safe Reinforcement Learning with Dual Robustness

24. Numerical analysis of soil salt leaching influenced by subsurface seepage pipe with negative pressure

25. S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields

40. Feasible Policy Iteration

44. McNet: Fuse Multiple Cues for Multichannel Speech Enhancement

45. Safe Model-Based Reinforcement Learning with an Uncertainty-Aware Reachability Certificate

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