39 citations · 61 across the 4 of their papers we have counts for
5 papers
Variational Data Assimilation with a Learned Inverse Observation Operator
Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith +3
Variational data assimilation optimizes for an initial state of a dynamical system such that its evolution fits observational data. The physical model can subsequently be evolved i…
Approximating Orthogonal Matrices with Effective Givens Factorization
Thomas Frerix, Joan Bruna
We analyze effective approximation of unitary matrices. In our formulation, a unitary matrix is represented as a product of rotations in two-dimensional subspaces, so-called Givens…
Homogeneous Linear Inequality Constraints for Neural Network Activations
Thomas Frerix, Matthias Nießner, Daniel Cremers
We propose a method to impose homogeneous linear inequality constraints of the form on neural network activations. The proposed method allows a data-driven training appr…
Associative Domain Adaptation
Philip Haeusser, Thomas Frerix, Alexander Mordvintsev +1
We propose associative domain adaptation, a novel technique for end-to-end domain adaptation with neural networks, the task of inferring class labels for an unlabeled target domain…
Proximal Backpropagation
Thomas Frerix, Thomas Möllenhoff, Michael Moeller +1
We propose proximal backpropagation (ProxProp) as a novel algorithm that takes implicit instead of explicit gradient steps to update the network parameters during neural network tr…