Matthias Seibert

According to our database, Matthias Seibert authored at least 6 papers between 2013 and 2019.

Collaborative distances:

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

2019

Sample Complexity of Representation Learning for Sparse and Related Data Models.

Matthias Seibert

PhD thesis, 2019

2016

Learning Co-Sparse Analysis Operators With Separable Structures.

Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber

IEEE Trans. Signal Process., 2016

2015

Sample Complexity of Dictionary Learning and Other Matrix Factorizations.

Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach, Martin Kleinsteuber, Matthias Seibert

IEEE Trans. Inf. Theory, 2015

2014

On the sample complexity of sparse dictionary learning.

Matthias Seibert, Martin Kleinsteuber, Rémi Gribonval, Rodolphe Jenatton, Francis R. Bach

Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Separable cosparse Analysis Operator learning.

Matthias Seibert, Julian Wörmann, Rémi Gribonval, Martin Kleinsteuber

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Separable Dictionary Learning.

Simon Hawe, Matthias Seibert, Martin Kleinsteuber

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013