56 citations · 256 across the 37 of their papers we have counts for
6 papers · 1 filter
Deep Nonlinear Non-Gaussian Filtering for Dynamical Systems
Arash Mehrjou, Bernhard Schölkopf
Filtering is a general name for inferring the states of a dynamical system given observations. The most common filtering approach is Gaussian Filtering (GF) where the distribution…
A Local Information Criterion for Dynamical Systems
Arash Mehrjou, Friedrich Solowjow, Sebastian Trimpe +1
Encoding a sequence of observations is an essential task with many applications. The encoding can become highly efficient when the observations are generated by a dynamical system.…
Distribution Aware Active Learning
Arash Mehrjou, Mehran Khodabandeh, Greg Mori
Discriminative learning machines often need a large set of labeled samples for training. Active learning (AL) settings assume that the learner has the freedom to ask an oracle to l…
Deep Energy Estimator Networks
Saeed Saremi, Arash Mehrjou, Bernhard Schölkopf +1
Density estimation is a fundamental problem in statistical learning. This problem is especially challenging for complex high-dimensional data due to the curse of dimensionality. A…
Efficient Encoding of Dynamical Systems through Local Approximations
Friedrich Solowjow, Arash Mehrjou, Bernhard Schölkopf +1
An efficient representation of observed data has many benefits in various domains of engineering and science. Representing static data sets, such as images, is a living branch in m…
Analysis of Nonautonomous Adversarial Systems
Arash Mehrjou
Generative adversarial networks are used to generate images but still their convergence properties are not well understood. There have been a few studies who intended to investigat…