Previous high-order solvers are unstable for guided sampling: Samples use the pre-trained DPMs on ImageNet 256 256 with a classifier guidance scale 8.0, varying different samplers (and different ...
The Public Opinion Quarterly, Vol. 82, No. 4 (Winter 2018), pp. 707-744 (38 pages) Many studies in various countries have found that telephone and internet surveys of probability samples yielded data ...
Probabilistic programming is a recent and extremely dynamic field of research which lies at the intersection of statistical machine learning and programming language theory. Probabilistic programming ...
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