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Publications

2021

  1. D. Ziaei, J. Sleeman, M. Halem, V. Caicedo, R. M. Delgado, and B. Demoz, "Convolutional LSTM for Planetary Boundary Layer Height (PBLH) Prediction", InProceedings, AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physical Sciences, March 2021, 44 downloads.

2020

  1. J. Sleeman, J. E. Dorband, and M. Halem, "A hybrid quantum enabled RBM advantage: convolutional autoencoders for quantum image compression and generative learning", InProceedings, Quantum Information Science, Sensing, and Computation XII, May 2020, 122 downloads.
  2. J. Sleeman, J. E. Dorband, and M. Halem, "A Hybrid Quantum Enabled RBM Advantage: Convolutional Autoencoders for Quantum Image Compression and Generative Learning", Article, arXiv preprint arXiv:2001.11946, January 2020, 249 downloads.

2019

  1. J. Sleeman, M. Halem, and J. E. Dorband, "RBM Image Generation Using the D-Wave 2000Q", Misc, D-Wave Qubits North America Conference, September 2019, 232 downloads.

2018

  1. J. Sleeman, "Variational Autoencoders using D-Wave Quantum Annealing", InProceedings, American Geophysical Union Fall Meeting Abstracts, December 2018.

2016

  1. Y. Gui, "Convexification and Deconvexification for Training Artificial Neural Networks", PhdThesis, May 2016, 57 downloads.

2015

  1. J. Lo, Y. Gui, and Y. Peng, "The Normalized Risk-Averting Error Criterion for Avoiding Nonglobal Local Minima in Training Neural Networks", Article, Neurocomputing, February 2015, 55 downloads.

2014

  1. Y. Gui, J. Lo, and Y. Peng, "A pairwise algorithm for training multilayer perceptrons with the normalized risk-averting error criterion", InProceedings, International Joint Conference on Neural Networks (IJCNN), July 2014, 66 downloads.