Neural Network Classifiers Estimate Bayesian a posteriori Probabilities
PulseAugur coverage of Neural Network Classifiers Estimate Bayesian a posteriori Probabilities — every cluster mentioning Neural Network Classifiers Estimate Bayesian a posteriori Probabilities across labs, papers, and developer communities, ranked by signal.
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New research quantifies unavoidable manipulation in AI fairness audits
A new research paper explores the inherent limitations of fairness auditing in automated decision-making systems. The study quantifies the unavoidable manipulation that can occur even with finite audit resources, framin…
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Neural networks identify totally positive matrices via characteristic polynomial coefficients
Researchers have explored the use of neural network classifiers to distinguish totally positive matrices from non-totally positive ones by analyzing the highest-order coefficients of their characteristic polynomials. Th…
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New Math Bounds Applied to Neural Network Robustness
Researchers have published a paper detailing new mathematical bounds for the volume of tubular neighborhoods of smooth Pfaffian hypersurfaces. These bounds, expressed using the Pfaffian format of defining functions, hav…