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Found 9 papers, 4 papers with code
Stable Training of Normalizing Flows for High-dimensional Variational Inference
However, in practice, training deep normalizing flows for approximating high-dimensional posterior distributions is often infeasible due to the high variance of the stochastic gradients.
YOLOv7 for Mosquito Breeding Grounds Detection and Tracking
With the looming threat of climate change, neglected tropical diseases such as dengue, zika, and chikungunya have the potential to become an even greater global concern.
Adaptive Covariate Acquisition for Minimizing Total Cost of Classification
Assuming that the cost of each covariate, and the cost of misclassification can be specified by the user, our goal is to minimize the (expected) total cost of classification, i. e. the cost of misclassification plus the cost of the acquired covariates.
Convex Covariate Clustering for Classification
Clustering, like covariate selection for classification, is an important step to compress and interpret the data.
Robust Bayesian Model Selection for Variable Clustering with the Gaussian Graphical Model
Even more severe, small insignificant partial correlations due to noise can dramatically change the clustering result when evaluating for example with the Bayesian Information Criteria (BIC).
