3 papers
cond-mat.mes-hall2021
Controllable reset behavior in domain wall-magnetic tunnel junction artificial neurons for task-adaptable computation
Samuel Liu, Christopher H. Bennett, Joseph S. Friedman +3
Neuromorphic computing with spintronic devices has been of interest due to the limitations of CMOS-driven von Neumann computing. Domain wall-magnetic tunnel junction (DW-MTJ) devic…
cs.LG2020
FaiR-N: Fair and Robust Neural Networks for Structured Data
Shubham Sharma, Alan H. Gee, David Paydarfar +1
Fairness in machine learning is crucial when individuals are subject to automated decisions made by models in high-stake domains. Organizations that employ these models may also ne…
cs.LG2019
Explaining Deep Classification of Time-Series Data with Learned Prototypes
Alan H. Gee, Diego Garcia-Olano, Joydeep Ghosh +1
The emergence of deep learning networks raises a need for explainable AI so that users and domain experts can be confident applying them to high-risk decisions. In this paper, we l…