2 problems
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LLM embeddings conjecture for reducing -shift gaps
Let and be source and target distributions, let and denote the input and response variables, and let be a predictor acting on an embedding of…
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The Gaussian RKHS conjecture for localized predictive uncertainty representation
The model predictive probability density function is to be represented in a localized functional space. Gaussian RKHS conjecture. The Gaussian reproducing kernel Hilbert space (RKH…