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Adaptive Privacy of Sequential Data Releases Under Collusion
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Solving Hamilton-Jacobi Equations by Residual Minimization of Monotone Finite-Difference Discretizations
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Unification of Deterministic Higher-Order Patterns
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On the Suboptimality of Linear Codes for Binary Distributed Hypothesis Testing
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Minimal Decision Dynamics and Contextual Probability: A Quantum Tug-of-War Model
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ReinforceGen: Hybrid Skill Policies with Automated Data Generation and Reinforcement Learning
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AugServe Adaptive Request Scheduling for Augmented Large Language Model Inference Serving
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How to DP-fy Your Data: A Practical Guide to Generating Synthetic Data With Differential Privacy
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Data-Driven Learnability Transition of Measurement-Induced Entanglement
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RIS-Assisted Downlink Pinching-Antenna Systems GNN-Enabled Optimization Approaches
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Point of Order Action-Aware LLM Persona Modeling for Data-Grounded Civic Deliberation
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Improving Language Agents through BREW: Bootstrapping Experientially-Learned Environmental Knowledge
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AutoGraphAD Unsupervised network anomaly detection using Variational Graph Autoencoders
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Near-optimal Delta-convex Estimation of Lipschitz Functions
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