Parallel implementation of a recursive least squares neural network training method on the Intel iPSC/2. - James Edward Steck; Bruce M. McMillin; K. Krishnamurthy; M. R. Ashouri; Gary G. Leininger (IJCNN, 1990)

Parallel Implementation of a Recursive Least-Squares Neural Network Training Method on the Intel iPSC/2. - James Edward Steck; Bruce M. McMillin; K. Krishnamurthy; Gary G. Leininger (J. Parallel Distributed Comput., 1993)

A Lagrangian Formulation For Optical Backpropagation Training In Kerr-Type Optical Networks. - James Edward Steck; Steven R. Skinner; Alvaro A. Cruz-Cabrara; Elizabeth C. Behrman (NIPS, 1994)

A spatial quantum neural computer. - Elizabeth C. Behrman; James Edward Steck; Steven R. Skinner (IJCNN, 1999)

Optical hardware backpropagation neural network. - Steven R. Skinner; James Edward Steck; Alvaro A. Cruz-Cabrara; Mingtao Yang; Elizabeth C. Behrman (IJCNN, 1999)

Simulations of quantum neural networks. - Elizabeth C. Behrman; L. R. Nash; James Edward Steck; V. G. Chandrashekar; Steven R. Skinner (Inf. Sci., 2000)

Reinforcement and backpropagation training for an optical neural network using self-lensing effects. - Alvaro A. Cruz-Cabrara; Mingtao Yang; Guoqi Cui; Elizabeth C. Behrman; James Edward Steck; Steven R. Skinner (IEEE Trans. Neural Networks Learn. Syst., 2000)

Towards the Dynamic Learning of an Experimental Entanglement Witness. - Elizabeth C. Behrman; James Edward Steck; Preethika K. Gagnebin; Steven R. Skinner (IEEE Congress on Evolutionary Computation, 2006)

Paint Thickness Measurement Using Acoustic Interference. - Binod Pant; Steven R. Skinner; James Edward Steck (IEEE Trans. Instrum. Meas., 2006)

Quantum algorithm design using dynamic learning. - Elizabeth C. Behrman; James Edward Steck; Prem Kumar; K. A. Walsh (Quantum Inf. Comput., 2008)

Adaptive Feedback Control by Constrained Approximate Dynamic Programming. - Silvia Ferrari; James Edward Steck; Rajeev Chandramohan (IEEE Trans. Syst. Man Cybern. Part B, 2008)

Quantum Simulataneous Recurrent Networks for Content Addressable Memory. - Raheel Allauddin; Stuart Boehmer; Elizabeth C. Behrman; Kavitha Gaddam; James Edward Steck (Quantum Inspired Intelligent Systems, 2008)

Single Network Adaptive Critic aided nonlinear dynamic inversion for suboptimal command tracking. - Geethalakshmi S. Lakshmikanth; Radhakant Padhi; John M. Watkins; James Edward Steck (ISIC, 2011)

Dynamic learning of pairwise and three-way entanglement. - Elizabeth C. Behrman; James Edward Steck (NaBIC, 2011)

Adaptive Critic Optimization of Dynamic Inverse Control. - James Edward Steck; Geethalakshmi S. Lakshmikanth; John M. Watkins (Infotech@Aerospace, 2012)

A quantum neural network computes its own relative phase. - Elizabeth C. Behrman; James Edward Steck (SIS, 2013)

Multiqubit entanglement of a general input state. - Elizabeth C. Behrman; James Edward Steck (Quantum Inf. Comput., 2013)

Modified State Observer based adaptive control law design for the Black Kite MAV. - Venkatasubramani S. R. Pappu; James Edward Steck; Viswanathan Shanmugham; Guruganesh Ramamurthi (ACC, 2014)

Adaptive Flight-Control Design Using Neural-Network-Aided Optimal Nonlinear Dynamic Inversion. - Geethalakshmi S. Lakshmikanth; Radhakant Padhi; John M. Watkins; James Edward Steck (J. Aerosp. Inf. Syst., 2014)

On the Correction of Anomalous Phase Oscillation in Entanglement Witnesses Using Quantum Neural Networks. - Elizabeth C. Behrman; Richard E. F. Bonde; James Edward Steck; Joanna F. Behrman (IEEE Trans. Neural Networks Learn. Syst., 2014)

Programming quantum annealing computers using machine learning. - Elizabeth C. Behrman; James Edward Steck (SMC, 2017)

Biologically motivated quantum neural networks. - James Edward Steck; Elizabeth C. Behrman (SMC, 2017)

Learning quantum annealing. - Elizabeth C. Behrman; James Edward Steck; Mohamed A. Moustafa (Quantum Inf. Comput., 2017)

Predictive Maintenance on Aircraft and Applications with Digital Twin. - Sam Heim; Jason Clemens; James Edward Steck; Christopher Basic; David Timmons; Kourtney Zwiener (IEEE BigData, 2020)

Experimental evaluation of quantum Bayesian networks on IBM QX hardware. - Sima Esfandiarpour Borujeni; Nam H. Nguyen; Saideep Nannapaneni; Elizabeth C. Behrman; James Edward Steck (QCE, 2020)

A non-algorithmic approach to "programming" quantum computers via machine learning. - Nathan L. Thompson; James Edward Steck; Elizabeth C. Behrman (QCE, 2020)

A Quantum Annealing Approach for Dynamic Multi-Depot Capacitated Vehicle Routing Problem. - Ramkumar Harikrishnakumar; Saideep Nannapaneni; Nam H. Nguyen; James Edward Steck; Elizabeth C. Behrman (CoRR, 2020)

Experimental pairwise entanglement estimation for an N-qubit system. - Nathan L. Thompson; Nam H. Nguyen; Elizabeth C. Behrman; James Edward Steck (Quantum Inf. Process., 2020)

Quantum learning with noise and decoherence: a robust quantum neural network. - Nam H. Nguyen; Elizabeth C. Behrman; James Edward Steck (Quantum Mach. Intell., 2020)

Benchmarking Neural Networks For Quantum Computations. - Nam H. Nguyen; Elizabeth C. Behrman; Mohamed A. Moustafa; James Edward Steck (IEEE Trans. Neural Networks Learn. Syst., 2020)

Quantum circuit representation of Bayesian networks. - Sima Esfandiarpour Borujeni; Saideep Nannapaneni; Nam H. Nguyen; Elizabeth C. Behrman; James Edward Steck (Expert Syst. Appl., 2021)