1. [1] A. Ansari and T. Ogunfunmi. Elasto-net: An hdl conversion framework for convolutional neural networks. In 2018 52nd Asilomar Conference on Signals, Systems, and Computers, pages 787–791, 2018.
2. [2] Steven M. Beitzel, Eric C. Jensen, and Ophir Frieder. MAP, pages 1691–1692. Springer US, Boston, MA, 2009.
3. [3] Michaela Blott, Thomas B Preußer, Nicholas J Fraser, Giulio Gambardella, Kenneth O’brien, Yaman Umuroglu, Miriam Leeser, and Kees Vissers. Finn-r: An end-to-end deep-learning framework for fast exploration of quantized neural networks. ACM Transactions on Reconfigurable Technology and Systems (TRETS), 11(3):1–23, 2018.
4. [4] Charles Boncelet, George Bockari, Unknown, Luis Rodrígues-Flores, Nhan Truong, A. Luna, Tim, Muhammed Abdelshakour, and Dan Buskirk. Pynq-z1: Python productivity for zynq-7000 arm/fpga soc.
5. [5] A. Bulat, J. Kossaifi, G. Tzimiropoulos, and M. Pantic. Toward fast and accurate human pose estimation via soft-gated skip connections. In 2020 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2020), pages 8–15, 2020.