199 citations · 203 across the 4 of their papers we have counts for
4 papers
Filter-Aware Model-Predictive Control
Baris Kayalibay, Atanas Mirchev, Ahmed Agha +2
Partially-observable problems pose a trade-off between reducing costs and gathering information. They can be solved optimally by planning in belief space, but that is often prohibi…
Learning Stochastic Recurrent Networks
Justin Bayer, Christian Osendorfer
Leveraging advances in variational inference, we propose to enhance recurrent neural networks with latent variables, resulting in Stochastic Recurrent Networks (STORNs). The model…
Regularizing Recurrent Networks - On Injected Noise and Norm-based Methods
Saahil Ognawala, Justin Bayer
Advancements in parallel processing have lead to a surge in multilayer perceptrons' (MLP) applications and deep learning in the past decades. Recurrent Neural Networks (RNNs) give…
Variational inference of latent state sequences using Recurrent Networks
Justin Bayer, Christian Osendorfer
Recent advances in the estimation of deep directed graphical models and recurrent networks let us contribute to the removal of a blind spot in the area of probabilistc modelling of…