Thomas Frerix

According to our database, Thomas Frerix authored at least 7 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

From Numerical Optimization to Deep Learning and Back (Von Numerischer Optimierung zu Deep Learning und zurück)

Thomas Frerix

PhD thesis, 2022

2021

Variational Data Assimilation with a Learned Inverse Observation Operator.

Thomas Frerix, Dmitrii Kochkov, Jamie A. Smith, Daniel Cremers, Michael P. Brenner, Stephan Hoyer

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Homogeneous Linear Inequality Constraints for Neural Network Activations.

Thomas Frerix, Matthias Nießner, Daniel Cremers

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Linear Inequality Constraints for Neural Network Activations.

Thomas Frerix, Matthias Nießner, Daniel Cremers

CoRR, 2019

Approximating Orthogonal Matrices with Effective Givens Factorization.

Thomas Frerix, Joan Bruna

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Proximal Backpropagation.

Thomas Frerix, Thomas Möllenhoff, Michael Möller, Daniel Cremers

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Associative Domain Adaptation.

Philip Häusser, Thomas Frerix, Alexander Mordvintsev, Daniel Cremers

Proceedings of the IEEE International Conference on Computer Vision, 2017