Learning joint probabilistic weather forecasts from station observations alone
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Many Ways to Succeed: Diversity-Driven RL Fine-Tuning for VLA Generalization
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Extreme Binary Classification: Extreme Value Theory for Extreme Constraint on False Negative
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Marrying Pricing and Advertising with LLMs
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Controlling Dependence in Implicit Generative Models via Spread Mutual Information
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Evolve on the Host, Predict on the Edge: Deploying Online Neuroevolutionary Architecture Search for Cross-sectional Stock Return Prediction
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Structure alone supports efficient visual computation in the Drosophila visual system
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Gaussian Equivalence for Multi-Head Self-Attention
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Transition Path Sampling Using Koopman Operators and Exit-Time Optimal Control
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Towards Calibrated Probabilistic Forecasts for Events of Interest via Outcome-Conditional Recalibration
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Sharp Asymptotic Theory of Maximum Likelihood Estimation for Gaussian Processes with an RBF Kernel
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Training with Missed Targets in Generative Recommendation: Separating Supervision from Probability Competition
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