Ulrich Terstiege

According to our database, Ulrich Terstiege authored at least 6 papers between 2014 and 2026.

Collaborative distances:

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

2026

Convergence of gradient flow for learning convolutional neural networks.

Jona-Maria Diederen, Holger Rauhut, Ulrich Terstiege

CoRR, January, 2026

2021

Convergence of gradient descent for learning linear neural networks.

Gabin Maxime Nguegnang, Holger Rauhut, Ulrich Terstiege

CoRR, 2021

2019

Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers.

Bubacarr Bah, Holger Rauhut, Ulrich Terstiege, Michael Westdickenberg

CoRR, 2019

2016

Low-rank matrix recovery via rank one tight frame measurements.

Holger Rauhut, Ulrich Terstiege

CoRR, 2016

2015

Stable low-rank matrix recovery via null space properties.

Maryia Kabanava, Richard Kueng, Holger Rauhut, Ulrich Terstiege

CoRR, 2015

2014

Low rank matrix recovery from rank one measurements.

Richard Kueng, Holger Rauhut, Ulrich Terstiege

CoRR, 2014