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Tags: convolutional neural network

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Refereed Publications

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, 37 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, 168 downloads.

2019

  1. J. Sleeman, M. Halem, and J. E. Dorband, "RBM Image Generation Using the D-Wave 2000Q", Misc, Poster Presentation Presented at the 2019 Rising Stars in EECS Workshop, October 2019, 100 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", InProceedings, Quantum Information Science, Sensing, and Computation XII, May 2019, 32 downloads.

2017

  1. A. L. Kashyap, "Deep Representation of Lyrical Style and Semantics for Music Recommendation", PhdThesis, University of Maryland, Baltimore County, May 2017, 44 downloads.

2016

  1. Y. Gui, "Convexification and Deconvexification for Training Artificial Neural Networks", PhdThesis, May 2016, 16 downloads.