Lars Grasedyck

1. A literature survey of low-rank tensor approximation techniques
   2013/02/28 by Lars Grasedyck, Grasedyck, Lars, Daniel Kreßner +3 · 20 citations
   Mathematics · Engineering · #Tensor decomposition and applications #Sparse and Compressive Sensing Techniques
2. Rank Bounds for Approximating Gaussian Densities in the Tensor-Train Format
   2020/01/22 by Paul Rohrbach, Sergey Dolgov, Rohrbach, Paul B. +5 · 2 citations
   Computer Science · Engineering · Mathematics · #15A23 #15A69 #41A10 #65C60 #65D15 #65D32 #FOS: Mathematics #Numerical Analysis (math.NA) #Solar Radiation and Photovoltaics #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST) #Tensor decomposition and applications
3. Low-rank tensor methods for Markov chains with applications to tumor progression models
   2020/06/15 by Georg Peter, Georg, Peter, Lars Grasedyck +9 · 1 citation
   Engineering · Mathematics · Medicine · #15A69 #60J22 #60J28 #Advanced Neuroimaging Techniques and Applications #FOS: Mathematics #Numerical Analysis (math.NA) #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications
4. Finding entries of maximum absolute value in low-rank tensors
   2019/12/04 by Lars Grasedyck, Lukas Juschka, Grasedyck, Lars +3 · 1 citation
   Engineering · Mathematics · Physics and Astronomy · #FOS: Mathematics #Model Reduction and Neural Networks #Numerical Analysis (math.NA) #Sparse and Compressive Sensing Techniques #Tensor decomposition and applications