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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Universal Local Error and Realized Amplification for the First-Order EDM Predictor
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Attention via Black-Box Vector Search
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Progress and Prospect of AI in ARPES Workflow
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Policy Learning with Weak Signals
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Conformal Prediction for Spatially Dependent Data via Sequential Whitening
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Kinetic Langevin Meets Split Gibbs: Accelerated Posterior Sampling for Imaging Inverse Problems with Diffusion Priors
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