19 citations · 19 across the 2 of their papers we have counts for
4 papers
Explainable AI using expressive Boolean formulas
Gili Rosenberg, J. Kyle Brubaker, Martin J. A. Schuetz +6
We propose and implement an interpretable machine learning classification model for Explainable AI (XAI) based on expressive Boolean formulas. Potential applications include credit…
Modeling Time-Dependent Systems using Dynamic Quantum Bayesian Networks
Sima E. Borujeni, Saideep Nannapaneni
Advances in data collection using inexpensive sensors have enabled monitoring the performance of dynamic systems, and to implement appropriate control actions to improve their perf…
Experimental evaluation of quantum Bayesian networks on IBM QX hardware
Sima E. Borujeni, Nam H. Nguyen, Saideep Nannapaneni +2
Bayesian Networks (BN) are probabilistic graphical models that are widely used for uncertainty modeling, stochastic prediction and probabilistic inference. A Quantum Bayesian Netwo…
Quantum circuit representation of Bayesian networks
Sima E. Borujeni, Saideep Nannapaneni, Nam H. Nguyen +2
Probabilistic graphical models such as Bayesian networks are widely used to model stochastic systems to perform various types of analysis such as probabilistic prediction, risk ana…