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Variational Inference for Lévy Process-Driven SDEs via Neural Tilting
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DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices
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Quantifying Concentration Phenomena of Mean-Field Transformers in the Low-Temperature Regime
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Dynamic Skill Lifecycle Management for Agentic Reinforcement Learning
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Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis
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Revisiting Policy Gradients for Restricted Policy Classes: Escaping Myopic Local Optima with $k$-step Policy Gradients
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DataMaster: Towards Autonomous Data Engineering for Machine Learning
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Beyond Red-Teaming: Formal Guarantees of LLM Guardrail Classifiers
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RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards
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V4FinBench: Benchmarking Tabular Foundation Models, LLMs, and Standard Methods on Corporate Bankruptcy Prediction
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Unmasking On-Policy Distillation: Where It Helps, Where It Hurts, and Why
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LoKA: Low-precision Kernel Applications for Recommendation Models At Scale
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Neural Weight Norm = Kolmogorov Complexity
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AssayBench: An Assay-Level Virtual Cell Benchmark for LLMs and Agents
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Compute Where it Counts: Self Optimizing Language Models
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Attractor-Vascular Coupling Theory: Formal Grounding and Empirical Validation for AAMI-Standard Cuffless Blood Pressure Estimation from Smartphone Photoplethysmography
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BEACON: A Multimodal Dataset for Learning Behavioral Fingerprints from Gameplay Data
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Masked Generative Transformer Is What You Need for Image Editing
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The Generalized Turing Test: A Foundation for Comparing Intelligence
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Conditional anomaly detection methods for patient-management alert systems
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