EMAN: Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning This is a PyTorch implementation of the EMAN paper. It supports three popular self-supervised and ...

Exponential growth is a pattern of data that shows greater increases with passing time, creating the curve of an exponential function.

Introduction: Anticipation Builds for 2025 Following a rocky beginning to the decade, the markets are once again full of talk of the next crypto bull run. Bitcoin dominance holds, altcoin ...

To overcome these gaps, we propose FQsun, a wave function-based quantum emulator that enhances performance by integrating four key innovations: efficient memory organization, a configurable Quantum ...

There has long been a mystery when calculating how an incoming light wave scatters off an object and becomes a modified, outgoing light wave. In particular, the time delay of the transition from ...

We present the first scanning tunneling microscopy (STM) image of hydrogenic acceptor wave functions in silicon. These acceptor states appear as square-ring-like features in STM images and originate ...

Subsequently, by employing a pretrained semantic segmentation network and a semantic loss function, WaveFusion effectively integrates semantic information from the image patches into the wave function ...