| [1] | Alexander Feldman, Johan de Kleer, and Ion Matei. A quantum algorithm for computing all diagnoses of a switching circuit. arXiv preprint arXiv:2209.05470, 2022. In Preparation. [ bib | http ] |
| [2] | Alexander Feldman, Johan de Kleer, and Ion Matei. Design space exploration as quantified satisfaction. arXiv preprint arXiv:1905.02303, 2019. In Preparation. [ bib | http ] |
| [3] | Alejandro Perdomo-Ortiz, Alexander Feldman, Asier Ozaeta, Sergei V. Isakov, Zheng Zhu, Bryan O'Gorman, Helmut G. Katzgraber, Alexander Diedrich, Hartmut Neven, Johan de Kleer, Brad Lackey, and Rupak Biswas. Readiness of quantum optimization machines for industrial applications. Phys. Rev. Applied, 12:014004, July 2019. [ bib | DOI | http ] |
| [4] | Roni Stern, Meir Kalech, Shelly Rogov, and Alexander Feldman. How many diagnoses do we need? Artificial Intelligence, 248:26 -- 45, 2017. [ bib | DOI | http ] |
| [5] | Alexander Feldman, Johan de Kleer, Tolga Kurtoglu, Sriram Narasimhan, Scott Poll, David Garcia, Lukas Kuhn, and Arjan van Gemund. The diagnostic competitions. AI Magazine, 2014. [ bib ] |
| [6] | Alexander Feldman, Gregory Provan, and Arjan van Gemund. A model-based active testing approach to sequential diagnosis. Journal of Artificial Intelligence Research, 39:301--334, 2010. [ bib ] |
| [7] | Alexander Feldman, Tolga Kurtoglu, Sriram Narasimhan, Scott Poll, David Garcia, Johan de Kleer, Lukas Kuhn, and Arjan van Gemund. Empirical evaluation of diagnostic algorithm performance using a generic framework. International Journal of Prognostics and Health Management, pages 1--28, 2010. [ bib ] |
| [8] | Alexander Feldman, Gregory Provan, and Arjan van Gemund. Approximate model-based diagnosis using greedy stochastic search. Journal of Artificial Intelligence Research, 38:371--413, 2010. [ bib ] |
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