We present a compartmental model inspired by epidemiology to analyze opinion dissemination under external interventions. The model categorizes individuals into susceptible, exposed, positive, negative ...
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 ...
Eshkol is a Scheme-based programming language that unifies functional programming with native automatic differentiation, providing a mathematically rigorous foundation for gradient-based optimization, ...
An intensive, fast-paced summer school for predoctoral students to build mathematical intuitions and skills necessary to enter the fields of theoretical neuroscience and foundational machine learning ...
Metastable microstates in electro- and magnetoencephalographic (EEG and MEG) measurements are usually determined using modified k-means accounting for polarity invariant states. However, hard state ...
We discuss the application of the forward-mode differentiation method to Maxwell’s equations, which is useful for the sensitivity analysis of photonic devices. This approach yields exact gradients and ...
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