5 papers
On the Self-Repair Role of Astrocytes in STDP Enabled Unsupervised SNNs
Mehul Rastogi, Sen Lu, Nafiul Islam +1
Neuromorphic computing is emerging to be a disruptive computational paradigm that attempts to emulate various facets of the underlying structure and functionalities of the brain in…
Power System Disturbance Classification with Online Event-Driven Neuromorphic Computing
Kaveri Mahapatra, Sen Lu, Abhronil Sengupta +1
Accurate online classification of disturbance events in a transmission network is an important part of wide-area monitoring. Although many conventional machine learning techniques…
Exploring the Connection Between Binary and Spiking Neural Networks
Sen Lu, Abhronil Sengupta
On-chip edge intelligence has necessitated the exploration of algorithmic techniques to reduce the compute requirements of current machine learning frameworks. This work aims to br…
Exploiting Oxide Based Resistive RAM Variability for Bayesian Neural Network Hardware Design
Akul Malhotra, Sen Lu, Kezhou Yang +1
Uncertainty plays a key role in real-time machine learning. As a significant shift from standard deep networks, which does not consider any uncertainty formulation during its train…
All-Spin Bayesian Neural Networks
Kezhou Yang, Akul Malhotra, Sen Lu +1
Probabilistic machine learning enabled by the Bayesian formulation has recently gained significant attention in the domain of automated reasoning and decision-making. While impress…