The study highlights a presymptomatic phase in type 1 diabetes progression, using immune niches to track immune changes ...
A semiconductor device generates unforgeable watermarks from chaotic electron behavior, embedding invisible markers in images ...
Intrinsic neural attractors and extrinsic environmental inputs jointly steer the dynamic trajectories of brain activity ...
Quantized expectation — provides gradient-like guidance for discrete diffusion with a purely discrete embedding space. Anchored remasking — enables adaptive decoding by preserving “anchor tokens” ...
The head of Missouri’s cannabis testing unit said the new unannounced visits to collect product samples shouldn’t impact business, in a podcast by the Missouri Cannabis Regulation Division. “This is ...
In standard autoregressive generation, an LLM predicts the next-token distribution, samples a discrete token, and then discards the distribution, passing only the sampled token as new input. To ...
Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...
In this work, we propose a path integral Monte Carlo approach based on discretized continuous degrees of freedom and rejection-free Gibbs sampling. The ground state properties of a chain of planar ...
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