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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Broadly Applicable Approximate MCMC for Switching Stochastic Differential Equations Using Uniformization and Time-Conditioned Factorized Neural Likelihood Estimation
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Computations of the slice genus and the unknotting number of links via machine learning
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CARES: A Controlled Synthetic Benchmark of Speaker Reactions to Sound
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RoBART: Bayesian Additive Regression Trees with Tree-Specific Rotations
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On the Cyclic Assumption of the Cow-Path Search Algorithm
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Using Small Language Models to Reverse-Engineer Machine Learning Pipelines Structures
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Neural Sampling with Reweighted Normalizing Flows via the Wasserstein--Fisher--Rao JKO Scheme
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