Diffusion probabilistic models (DPMs) have achieved impressive success in high-resolution image synthesis, especially in recent large-scale text-to-image generation applications. An essential ...

Through his research titled “Adaptive Thresholding in ML-Driven Alerting Systems for Reducing False Positives in Production Environments,” published in the International Journal of Scientific ...

We consider the problem of low rank matrix recovery in a stochastically noisy high-dimensional setting. We propose a new estimator for the low rank matrix, based on the iterative hard thresholding ...

Thresholding is the process that converts a micrograph into a binary black and white image, corresponding to particle and background. It does so by setting a threshold for pixel brightness.

Maarten Jansen, Adhemar Bultheel, Empirical Bayes Approach to Improve Wavelet Thresholding for Image Noise Reduction, Journal of the American Statistical Association, Vol. 96, No. 454 (Jun., 2001), pp ...