Live visualization for GEPA prompt-optimization runs. Renders the candidate tree as a force-directed graph so you can watch prompts evolve over a pareto frontier in real time. Big nodes are candidates ...
Vector-quantized variational autoencoders (VQ-VAE) [39], [50] have proven the usefulness of discrete latent representations in image generation [9], [16]. It typically involves training an encoder ...
The smoothed spectra are downsampled to a log-spaced vector for plotting. TL1 = 0.05 # Lower period limit for matching (s) TL2 = 6.0 # Upper period limit for matching (s) nit_match = 15 # Number of ...
Abstract: Machine learning has been largely applied to analyze data in various domains, but it is still new to personalized medicine, especially dose individualization. In this paper, we focus on the ...
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