44 citations · 83 across the 4 of their papers we have counts for
3 papers · 1 filter
CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning for Demand Response and Urban Energy Management
Jose R Vazquez-Canteli, Sourav Dey, Gregor Henze +1
Rapid urbanization, increasing integration of distributed renewable energy resources, energy storage, and electric vehicles introduce new challenges for the power grid. In the US,…
Deep Residual Autoencoders for Expectation Maximization-inspired Dictionary Learning
Bahareh Tolooshams, Sourav Dey, Demba Ba
We introduce a neural-network architecture, termed the constrained recurrent sparse autoencoder (CRsAE), that solves convolutional dictionary learning problems, thus establishing a…
Scalable Convolutional Dictionary Learning with Constrained Recurrent Sparse Auto-encoders
Bahareh Tolooshams, Sourav Dey, Demba Ba
Given a convolutional dictionary underlying a set of observed signals, can a carefully designed auto-encoder recover the dictionary in the presence of noise? We introduce an auto-e…