257 citations · 483 across the 39 of their papers we have counts for
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Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks
Dovydas Joksas, Erwei Wang, Nikolaos Barmpatsalos +4
Recent years have seen a rapid rise of artificial neural networks being employed in a number of cognitive tasks. The ever-increasing computing requirements of these structures have…
Rigorous Roundoff Error Analysis of Probabilistic Floating-Point Computations
George Constantinides, Fredrik Dahlqvist, Zvonimir Rakamaric +1
We present a detailed study of roundoff errors in probabilistic floating-point computations. We derive closed-form expressions for the distribution of roundoff errors associated wi…
Enabling Binary Neural Network Training on the Edge
Erwei Wang, James J. Davis, Daniele Moro +6
The ever-growing computational demands of increasingly complex machine learning models frequently necessitate the use of powerful cloud-based infrastructure for their training. Bin…