Stephen Whitelam, a researcher whose work spans thermodynamic theory and machine learning, has described a framework for generating images from pure noise by using the physics of heat and motion ...

Interstitial fluid mirrors many biomarkers found in blood and has attracted growing interest as a target for painless diagnostics. Microneedles offer a way to access this fluid through the skin, but ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

Abstract: Real-world image dehazing is a challenging task due to the collection of aligned hazy/clear image pairs under unpredictable and complex environments. To address this limitation, we propose a ...

Abstract: DreamBooth-style personalization, which often relies on one or a few images, can memorize context (background, pose, lighting) rather than learning the subject’s identity, thereby reducing ...

This repo aimed at curating all information related to evidence accumulation models (EAMs) or seqeuntial sampling models (SSMs). Drift-diffusion models (DDMs) and linear balstic accumulator (LBA) are ...

As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...

Folders and files ... Repository files navigation Predict-Project-Renoise (PPR) Code for the paper "Predict-Project-Renoise: Sampling Diffusion Models under Hard Constraints". Consider the code a WIP ...

Photo-reflectance spectroscopy enhances semiconductor quality control with sensitive, contactless measurements of band structure and electric fields in devices.

Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform classical systems on certain tasks. Over the past few decades, researchers ...