research
∙
10/18/2022
An out-of-distribution discriminator based on Bayesian neural network epistemic uncertainty
Neural networks have revolutionized the field of machine learning with i...
share
research
∙
09/03/2021
On the Accuracy of Analog Neural Network Inference Accelerators
Specialized accelerators have recently garnered attention as a method to...
research
∙
04/02/2020
Device-aware inference operations in SONOS nonvolatile memory arrays
Non-volatile memory arrays can deploy pre-trained neural network models ...
research
∙
02/25/2020
Evaluating complexity and resilience trade-offs in emerging memory inference machines
Neuromorphic-style inference only works well if limited hardware resourc...
research
∙
12/24/2019
PANTHER: A Programmable Architecture for Neural Network Training Harnessing Energy-efficient ReRAM
The wide adoption of deep neural networks has been accompanied by ever-i...
research
∙
10/27/2017
Probability Series Expansion Classifier that is Interpretable by Design
This work presents a new classifier that is specifically designed to be ...
research
∙
07/31/2017