Abstract: When a conflict occurs, the disputants involved and interested third parties usually expect to reach the desired equilibrium. To achieve this goal, inverse graph model for conflict ...
This study presents SynaptoGen, a differentiable extension of connectome models that links gene expression, protein-protein interaction probabilities, synaptic multiplicity, and synaptic weights, and ...
Abstract: State estimation methods using factor graph optimization (FGO) have garnered significant attention in global navigation satellite system (GNSS) research. FGO exhibits superior estimation ...
Two recent PRs to MaterialX demonstrated that shading model graphs can be significantly optimized, especially in the context of real-time and interactive rendering, by applying a set of visually ...
Here's how to optimize for LLMs, knowledge graphs, and modern search engines and build a digital footprint recommendation engines trust. SEO is all about optimizing for, well, search. In 2018, I ...
ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...
1 AI Institute, University of South Carolina, Columbia, SC, United States 2 Hewlett Packard Enterprise Labs, Houston, TX, United States The emergence of advanced artificial intelligence (AI) models ...
Deploying machine learning models on edge devices poses significant challenges due to limited computational resources. When the size and complexity of models increase, even achieving efficient ...
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