Prabodh Katti

Bayes2IMC: In-Memory Computing for Bayesian Binary Neural Networks

2025 · IEEE Transactions on Circuits and Systems I Regular Papers

Bayesian Neural Networks (BNNs) generate an ensemble of possible models by treating model weights as random variables. This enables them to provide superior estimates of decision uncertainty. However, implementing Bayesian inference in hardware is resource-intensive, …