Tags: convolutional neural network
- 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, 69 downloads.
- 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, 192 downloads.
- 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, 120 downloads.
- A. L. Kashyap, "Deep Representation of Lyrical Style and Semantics for Music Recommendation", PhdThesis, University of Maryland, Baltimore County, May 2017, 56 downloads.
- Y. Gui, "Convexification and Deconvexification for Training Artificial Neural Networks", PhdThesis, May 2016, 28 downloads.