The University of California San Diego has received $4.85 million from the National Institutes of Health (NIH) to bolster a ...
Abstract: Graph Neural Networks (GNNs) have become a powerful tool in order to learn from graph-structured data. Their ability to capture complex relationships and dependencies within graph structures ...
From image captioning and neural networks to Tesla Autopilot and OpenAI, Andrej Karpathy has helped shape modern AI research.
Abstract: Graph neural networks (GNNs) are good at capturing the intricate topologies and dependencies among components and are outstanding in fault diagnosis tasks of complex industrial process. Bias ...
nSTAT is the reference MATLAB implementation of the point-process / state-space framework for spike-train analysis: PP-GLM fitting (Poisson and binomial), time-rescaling KS goodness-of-fit, PPAF ...
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