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Persona-Trained Monte Carlo: Estimating Market-Outcome Distributions via Swarms of Persona-Conditioned Neural Policy Bots in a Limit Order Book
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Exploring the Intrinsic Geometry of Diffusion Models with Constrained Inverse Kinematics
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Estimation–Prediction Tradeoff in Causal Probabilistic Temporal Graphs
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Architecture for Health Initiative (Arch4Health) Computational Challenges in Health-Related Applications
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Towards Continuous Power Forecasting Practical Continual Learning for Real-World Energy Systems in Nonstationary Time Series
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The Serialized Bridge: Understanding and Recovering LLM Serving Performance under Blackwell GPU Confidential Computing
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3D Masked Autoencoders are Robust Learners of Volumetric and Multimodal Cellular Representations for Microscopy
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Kerala Public Service Commission Notification: Short List for Sub Inspector of Police (Trainee) Open Market (Cat. No. 572/2023)
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Tactile Genesis Exploring Tactile Sensors at Scale for Learning Dexterous Tasks
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Height Functions on the m × n Miura ori Flip Graph: Degree Sequence and Diameter
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Evolutionary Discovery of Developmental Reward Schedules in Deep Reinforcement Learning
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Counting and Sampling Anti-Ferromagnetic Potts Models on Random Regular Bipartite Graphs in the Non-Uniqueness Regime
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Sparsify Submodular Functions under Cardinality Constraints
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CUPID Reconstructing UV Texture Maps for Interpretable Person-of-Interest Deepfake Detection
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