Researchers have developed several data-mechanism hybrid driven methods to improve key variables prediction in process ...

Pinpointing the minimum and maximum transient noise bandwidth for a transient noise simulation is a non-trivial task. But these algorithms can help ease the challenge and minimize simulation time.

Something is booming across the Hudson River — and it’s leaving some New Jersey residents exhausted and shaken. People in Edgewater, Fort Lee and Cliffside Park, New Jersey — all towns across the ...

Abstract: Low-light photography produces images with low signal-to-noise ratios due to limited photons. In such conditions, common approximations like the Gaussian noise model fall short, and many ...

Abstract: Equalization-enhanced Phase Noise causes burst-like distortions in high symbol-rate transmission systems. We propose a temporal Gaussian noise model that captures these distortions by ...

Transformer models pre-trained on self-supervised tasks and fine-tuned on downstream objectives have achieved remarkable results across a variety of domains. However, fine-tuning these models for ...

ABSTRACT: The challenges of near-field acoustic error sensing lie in the measurement of the total radiated sound power and the optimization of error sensor ...

Hi, thanks for your solid research paper and open-sourced code. I have a simple question, according to the code, the gaussian noise is not added to the parameter-centric data augmentations, since its ...

This repository provides a complete pipeline for training a DDPM on the CelebA-HQ dataset and generating new images. The core idea behind DDPMs is to reverse a forward diffusion process that gradually ...