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James Edward Steck
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2020 – today
- 2021
- [j14]Sima Esfandiarpour Borujeni, Saideep Nannapaneni, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck:
Quantum circuit representation of Bayesian networks. Expert Syst. Appl. 176: 114768 (2021) - 2020
- [j13]Nathan L. Thompson, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck:
Experimental pairwise entanglement estimation for an N-qubit system. Quantum Inf. Process. 19(10): 394 (2020) - [j12]Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck:
Quantum learning with noise and decoherence: a robust quantum neural network. Quantum Mach. Intell. 2(1): 1-15 (2020) - [j11]Nam H. Nguyen, Elizabeth C. Behrman, Mohamed A. Moustafa, James Edward Steck:
Benchmarking Neural Networks For Quantum Computations. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2522-2531 (2020) - [c15]Sam Heim, Jason Clemens, James Edward Steck, Christopher Basic, David Timmons, Kourtney Zwiener:
Predictive Maintenance on Aircraft and Applications with Digital Twin. IEEE BigData 2020: 4122-4127 - [c14]Nathan L. Thompson, James Edward Steck, Elizabeth C. Behrman:
A non-algorithmic approach to "programming" quantum computers via machine learning. QCE 2020: 63-71 - [c13]Sima Esfandiarpour Borujeni, Nam H. Nguyen, Saideep Nannapaneni, Elizabeth C. Behrman, James Edward Steck:
Experimental evaluation of quantum Bayesian networks on IBM QX hardware. QCE 2020: 372-378 - [i3]Sima Esfandiarpour Borujeni, Saideep Nannapaneni, Nam H. Nguyen, Elizabeth C. Behrman, James Edward Steck:
Quantum circuit representation of Bayesian networks. CoRR abs/2004.14803 (2020) - [i2]Sima Esfandiarpour Borujeni, Nam H. Nguyen, Saideep Nannapaneni, Elizabeth C. Behrman, James Edward Steck:
Experimental evaluation of quantum Bayesian networks on IBM QX hardware. CoRR abs/2005.12474 (2020) - [i1]Ramkumar Harikrishnakumar, Saideep Nannapaneni, Nam H. Nguyen, James Edward Steck, Elizabeth C. Behrman:
A Quantum Annealing Approach for Dynamic Multi-Depot Capacitated Vehicle Routing Problem. CoRR abs/2005.12478 (2020)
2010 – 2019
- 2017
- [j10]Elizabeth C. Behrman, James Edward Steck, Mohamed A. Moustafa:
Learning quantum annealing. Quantum Inf. Comput. 17(5&6): 469-487 (2017) - [c12]Elizabeth C. Behrman, James Edward Steck:
Programming quantum annealing computers using machine learning. SMC 2017: 288-293 - [c11]James Edward Steck, Elizabeth C. Behrman:
Biologically motivated quantum neural networks. SMC 2017: 1030-1034 - 2014
- [j9]Geethalakshmi S. Lakshmikanth, Radhakant Padhi, John M. Watkins, James Edward Steck:
Adaptive Flight-Control Design Using Neural-Network-Aided Optimal Nonlinear Dynamic Inversion. J. Aerosp. Inf. Syst. 11(11): 785-806 (2014) - [j8]Elizabeth C. Behrman, Richard E. F. Bonde, James Edward Steck, Joanna F. Behrman:
On the Correction of Anomalous Phase Oscillation in Entanglement Witnesses Using Quantum Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 25(9): 1696-1703 (2014) - [c10]Venkatasubramani S. R. Pappu, James Edward Steck, Viswanathan Shanmugham, Guruganesh Ramamurthi:
Modified State Observer based adaptive control law design for the Black Kite MAV. ACC 2014: 32-37 - 2013
- [j7]Elizabeth C. Behrman, James Edward Steck:
Multiqubit entanglement of a general input state. Quantum Inf. Comput. 13(1-2): 36-53 (2013) - [c9]Elizabeth C. Behrman, James Edward Steck:
A quantum neural network computes its own relative phase. SIS 2013: 119-124 - 2012
- [c8]James Edward Steck, Geethalakshmi S. Lakshmikanth, John M. Watkins:
Adaptive Critic Optimization of Dynamic Inverse Control. Infotech@Aerospace 2012 - 2011
- [c7]Geethalakshmi S. Lakshmikanth, Radhakant Padhi, John M. Watkins, James Edward Steck:
Single Network Adaptive Critic aided nonlinear dynamic inversion for suboptimal command tracking. ISIC 2011: 1347-1352 - [c6]Elizabeth C. Behrman, James Edward Steck:
Dynamic learning of pairwise and three-way entanglement. NaBIC 2011: 99-104
2000 – 2009
- 2008
- [j6]Elizabeth C. Behrman, James Edward Steck, Prem Kumar, K. A. Walsh:
Quantum algorithm design using dynamic learning. Quantum Inf. Comput. 8(1): 12-29 (2008) - [j5]Silvia Ferrari, James Edward Steck, Rajeev Chandramohan:
Adaptive Feedback Control by Constrained Approximate Dynamic Programming. IEEE Trans. Syst. Man Cybern. Part B 38(4): 982-987 (2008) - [p1]Raheel Allauddin, Stuart Boehmer, Elizabeth C. Behrman, Kavitha Gaddam, James Edward Steck:
Quantum Simulataneous Recurrent Networks for Content Addressable Memory. Quantum Inspired Intelligent Systems 2008: 57-76 - 2006
- [j4]Binod Pant, Steven R. Skinner, James Edward Steck:
Paint Thickness Measurement Using Acoustic Interference. IEEE Trans. Instrum. Meas. 55(5): 1720-1724 (2006) - [c5]Elizabeth C. Behrman, James Edward Steck, Preethika K. Gagnebin, Steven R. Skinner:
Towards the Dynamic Learning of an Experimental Entanglement Witness. IEEE Congress on Evolutionary Computation 2006: 2613-2621 - 2000
- [j3]Elizabeth C. Behrman, L. R. Nash, James Edward Steck, V. G. Chandrashekar, Steven R. Skinner:
Simulations of quantum neural networks. Inf. Sci. 128(3-4): 257-269 (2000) - [j2]Alvaro A. Cruz-Cabrara, Mingtao Yang, Guoqi Cui, Elizabeth C. Behrman, James Edward Steck, Steven R. Skinner:
Reinforcement and backpropagation training for an optical neural network using self-lensing effects. IEEE Trans. Neural Networks Learn. Syst. 11(6): 1450-1457 (2000)
1990 – 1999
- 1999
- [c4]Elizabeth C. Behrman, James Edward Steck, Steven R. Skinner:
A spatial quantum neural computer. IJCNN 1999: 874-877 - [c3]Steven R. Skinner, James Edward Steck, Alvaro A. Cruz-Cabrara, Mingtao Yang, Elizabeth C. Behrman:
Optical hardware backpropagation neural network. IJCNN 1999: 2351-2356 - 1994
- [c2]James Edward Steck, Steven R. Skinner, Alvaro A. Cruz-Cabrara, Elizabeth C. Behrman:
A Lagrangian Formulation For Optical Backpropagation Training In Kerr-Type Optical Networks. NIPS 1994: 771-778 - 1993
- [j1]James Edward Steck, Bruce M. McMillin, K. Krishnamurthy, Gary G. Leininger:
Parallel Implementation of a Recursive Least-Squares Neural Network Training Method on the Intel iPSC/2. J. Parallel Distributed Comput. 18(1): 89-93 (1993) - 1990
- [c1]James Edward Steck, Bruce M. McMillin, K. Krishnamurthy, M. R. Ashouri, Gary G. Leininger:
Parallel implementation of a recursive least squares neural network training method on the Intel iPSC/2. IJCNN 1990: 631-636
Coauthor Index
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