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 ...

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.

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 ...

Artur Klinger, Inference in High Dimensional Generalized Linear Models Based on Soft Thresholding, Journal of the Royal Statistical Society. Series B (Statistical Methodology), Vol. 63, No. 2 (2001), ...