882 citations · 2.6k across the 89 of their papers we have counts for
7 papers · 1 filter
Structured state-space models are deep Wiener models
Fabio Bonassi, Carl Andersson, Per Mattsson +1
The goal of this paper is to provide a system identification-friendly introduction to the Structured State-space Models (SSMs). These models have become recently popular in the mac…
Variational Elliptical Processes
Maria Bånkestad, Jens Sjölund, Jalil Taghia +1
We present elliptical processes, a family of non-parametric probabilistic models that subsume Gaussian processes and Student's t processes. This generalization includes a range of…
Regularization properties of adversarially-trained linear regression
Antônio H. Ribeiro, Dave Zachariah, Francis Bach +1
State-of-the-art machine learning models can be vulnerable to very small input perturbations that are adversarially constructed. Adversarial training is an effective approach to de…
Guarantees for data-driven control of nonlinear systems using semidefinite programming: A survey
Tim Martin, Thomas B. Schön, Frank Allgöwer
This survey presents recent research on determining control-theoretic properties and designing controllers with rigorous guarantees using semidefinite programming and for nonlinear…
On the trade-off between event-based and periodic state estimation under bandwidth constraints
Dominik Baumann, Thomas B. Schön
Event-based methods carefully select when to transmit information to enable high-performance control and estimation over resource-constrained communication networks. However, they…
How Reliable is Your Regression Model's Uncertainty Under Real-World Distribution Shifts?
Fredrik K. Gustafsson, Martin Danelljan, Thomas B. Schön
Many important computer vision applications are naturally formulated as regression problems. Within medical imaging, accurate regression models have the potential to automate vario…
Image Restoration with Mean-Reverting Stochastic Differential Equations
Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao +2
This paper presents a stochastic differential equation (SDE) approach for general-purpose image restoration. The key construction consists in a mean-reverting SDE that transforms a…