Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Makai Mann, Ahmed Irfan, Florian Lonsing, Yahan Yang, Hongce Zhang, Kristopher Brown, Aarti Gupta, Clark W. Barrett: Pono: A Flexible and Extensible SMT-Based Model Checker. CAV 2021. Evaluated ...
Oh, sure, I can “code.” That is, I can flail my way through a block of (relatively simple) pseudocode and follow the flow. I ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
OM files are structured like a tree of variables. The following example assumes that the file test_file.om contains an array variable as a root variable which has a dimensionality greater than 2 and a ...
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