4 citations · 4 across the 1 of their papers we have counts for
3 papers
ApproxDBN: Approximate Computing for Discriminative Deep Belief Networks
Xiaojing Xu, Srinjoy Das, Ken Kreutz-Delgado
Probabilistic generative neural networks are useful for many applications, such as image classification, speech recognition and occlusion removal. However, the power budget for har…
A Nonparametric Framework for Quantifying Generative Inference on Neuromorphic Systems
Ojash Neopane, Srinjoy Das, Ery Arias-Castro +1
Restricted Boltzmann Machines and Deep Belief Networks have been successfully used in probabilistic generative model applications such as image occlusion removal, pattern completio…
Gibbs Sampling with Low-Power Spiking Digital Neurons
Srinjoy Das, Bruno Umbria Pedroni, Paul Merolla +6
Restricted Boltzmann Machines and Deep Belief Networks have been successfully used in a wide variety of applications including image classification and speech recognition. Inferenc…