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 ...
Private businesses in sectors, such as food, energy, and retail, as well as public sector and federal agencies are interested in the predictive understanding of weather impacts on crop yield, which is ...
DGM is a cross-platform C++ library implementing various tasks in probabilistic graphical models with pairwise and complete (dense) dependencies. The library aims to be used for the Markov and ...
In perceptual science, an important amount of effort has been dedicated to understanding what aspects of stimuli are represented independently (e.g., Bruce and Young, 1986; Ungerleider and Haxby, 1994 ...
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