This study presents a valuable advance in reconstructing naturalistic speech from intracranial ECoG data using a dual-pathway model. The evidence supporting the claims of the authors is solid, ...

Continuous Variable: can take on any value between two specified values. Obtained by measuring. Covariance: a measure of the direction of the linear relationship between two variables. Discrete ...

Adam Hayes, Ph.D., CFA, is a financial writer with 15+ years Wall Street experience as a derivatives trader. Besides his extensive derivative trading expertise, Adam is an expert in economics and ...

Julia Kagan is a financial/consumer journalist and former senior editor, personal finance, of Investopedia. Eric's career includes extensive work in both public and corporate accounting with ...

Easily ranking among the most agonizing options-based ideas, Uber Technologies ($UBER) nevertheless presents a nuanced ...

This is the code of paper Modeling Diverse Chemical Reactions for Single-step Retrosynthesis via Discrete Latent Variables. Huarui He, Jie Wang, Yunfei Liu, Feng Wu. CIKM 2022. Run ...

This codebase is built modularly to promote future research (as opposed to a more compact framework, which would be better for applications). The primary files are # load in a pretrained model ...

Abstract: We present ControlNet, a neural network architecture to add spatial conditioning controls to large, pretrained text-to-image diffusion models. ControlNet locks the production-ready large ...

WPA quantifies the percent change in a team's chances of winning from one event to the next. It does so by measuring the importance of a given plate appearance in the context of the game. For instance ...

Abstract: In this letter, a novel model-free Q-learning based approach is developed to solve the $H\infty $ tracking problem for linear discrete-time systems. A new ...