Tensor Decomposition and Applications Research Faculty | GradNova

Tensor Decomposition and Applications

8 faculty research Tensor Decomposition and Applications on GradNova.

H

Assistant Professor, Department of Mathematics

Computer Science

University of Wisconsin–Madison

Cellular Automata and Applications

Nonlinear Dynamics and Pattern Formation

Sparse and Compressive Sensing Techniques

Stochastic Processes and Statistical Mechanics

+1

S

Associate Professor

School of Computing

University of Utah

Artificial Intelligence (ml: Theory and Modeling, Physics-Informed Machine Learning)

Gaussian Processes and Bayesian Inference

Model Reduction and Neural Networks

Tensor Decomposition and Applications

+2

J

Assistant Professor

Computer Science

University of Oregon

High Performance Computing

Parallel and Scalable Algorithm Design

Performance Analysis Optimization

Tensor Decomposition & Data Mining

+5

G

Gordon Kindlmann

Associate Professor of Computer Science

Computer Science

University of Chicago

Advanced MRI Techniques and Applications

Advanced Neuroimaging Techniques and Applications

Computer Graphics and Visualization Techniques

Fetal and Pediatric Neurological Disorders

+1

E

Evangelos Papalexakis

Professor

Computer Science

Univ. of California - Riverside

Databases, Data Mining, and Artificial Intelligence

Tensor Decomposition and Applications

Complex Network Analysis Techniques

+2

M

William Walker Professor of Mathematics

Computer Science

Tufts University

Image Reconstruction and Restoration

Numerical Linear and Multilinear Algebra

Scientific Computing

Sparse and Compressive Sensing Techniques

+4

R

Professor

College of Computing

Georgia Institute of Technology

Advanced Data Storage Technologies

Distributed and Parallel Computing Systems

Interconnection Networks and Systems

Parallel Computing and Optimization Techniques

+1

E

Assistant Professor, Joint with the Daniel…

College of Computing

Georgia Institute of Technology

Generative Adversarial Networks and Image Synthesis

Model Reduction and Neural Networks

Tensor Decomposition and Applications