Associative Domain Adaptation. - Philip Häusser; Thomas Frerix; Alexander Mordvintsev; Daniel Cremers (ICCV, 2017)

Proximal Backpropagation. - Thomas Frerix; Thomas Möllenhoff; Michael Möller 001; Daniel Cremers (ICLR (Poster), 2018)

Approximating Orthogonal Matrices with Effective Givens Factorization. - Thomas Frerix; Joan Bruna (ICML, 2019)

Linear Inequality Constraints for Neural Network Activations. - Thomas Frerix; Matthias Nießner; Daniel Cremers (CoRR, 2019)

Homogeneous Linear Inequality Constraints for Neural Network Activations. - Thomas Frerix; Matthias Nießner; Daniel Cremers (CVPR Workshops, 2020)

Variational Data Assimilation with a Learned Inverse Observation Operator. - Thomas Frerix; Dmitrii Kochkov; Jamie A. Smith; Daniel Cremers; Michael P. Brenner; Stephan Hoyer (ICML, 2021)

From Numerical Optimization to Deep Learning and Back (Von Numerischer Optimierung zu Deep Learning und zurück) - Thomas Frerix (2022)