Terstiege, Ulrich

1. Low rank matrix recovery from rank one measurements
   2014/10/25 by Kueng, Richard, Rauhut, Holger, Terstiege, Ulrich · 20 citations
   #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Information Theory (cs.IT) #Probability (math.PR) #Quantum Physics (quant-ph)
2. Learning deep linear neural networks: Riemannian gradient flows and convergence to global minimizers
   2019/10/12 by Bah, Bubacarr, Rauhut, Holger, Terstiege, Ulrich +1 · 13 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
3. Convergence of gradient descent for learning linear neural networks
   2021/08/04 by Gabin Maxime Nguegnang, Holger Rauhut, Nguegnang, Gabin Maxime +3 · 1 voice · 6 citations
   Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #cs.LG #math.OC
4. Stable low-rank matrix recovery via null space properties
   2015/07/26 by Kabanava, Maryia, Kueng, Richard, Rauhut, Holger +1 · 3 citations
   #60B20 #81P50 #90C25 #94A12 #94A20 #FOS: Computer and information sciences #FOS: Mathematics #FOS: Physical sciences #Information Theory (cs.IT) #Probability (math.PR) #Quantum Physics (quant-ph)
5. The supersingular locus of the Shimura variety for GU(1,n-1) over a ramified prime
   2013/01/07 by Rapoport, Michael, Terstiege, Ulrich, Wilson, Sean · 2 citations
   #14G35 #Algebraic Geometry (math.AG) #FOS: Mathematics #Number Theory (math.NT)
6. Intersections of special cycles on the Shimura variety for GU(1,2)
   2010/06/10 by Ulrich Terstiege, Terstiege, Ulrich · 2 citations
   Mathematics · #Advanced Algebra and Geometry #Algebraic Geometry and Number Theory #Finite Group Theory Research