This valuable study uses mathematical modeling and analysis to address the question of how neural circuits generate distinct low-dimensional, sequential neural dynamics that can change on fast, ...

Casey Murphy has fanned his passion for finance through years of writing about active trading, technical analysis, market commentary, exchange-traded funds (ETFs), commodities, futures, options, and ...

Jennifer Simonson is a business journalist with a decade of experience covering entrepreneurship and small business. Drawing on her background as a founder of multiple startups, she writes for Forbes ...

Suzanne is a content marketer, writer, and fact-checker. She holds a Bachelor of Science in Finance degree from Bridgewater State University and helps develop content strategies. Regression analysis ...

Abstract: Deep Neural Networks (DNNs) are known to be vulnerable to the maliciously generated adversarial examples. To detect these adversarial examples, previous methods use artificially designed ...

The traditional television industry is undergoing significant changes due to the increasing popularity of new content consumption habits among audiences. This shift is disrupting the entire linear TV ...

PyTorch implementation of Subspace Diffusion Generative Models by B Jing,* G Corso,* R Berlinghieri, T Jaakkola. We present a method for accelerating and improving score-based generative models.

@article{UBS:22, author = {Mikhail Usvyatsov and Rafael Ballester-Ripoll and Konrad Schindler}, title = {tntorch: Tensor Network Learning with {PyTorch}}, journal ...

Abstract: Outlier analysis is an important data mining task that aims to detect unexpected, rare, and suspicious objects. Outlier ranking enables enhanced outlier exploration, which assists the ...