Grey Ballard

Discovering faster matrix multiplication algorithms with reinforcement learning

Tensor Networks for Dimensionality Reduction and Large-scale Optimization: Part 1 Low-Rank Tensor Decompositions

Tensors for Data Mining and Data Fusion

Tensor Decomposition for Signal Processing and Machine Learning

The ITensor Software Library for Tensor Network Calculations

Structurally Incoherent Low-Rank Nonnegative Matrix Factorization for Image Classification

Strassen’s Algorithm Reloaded on GPUs

Incomplete Multiview Spectral Clustering With Adaptive Graph Learning

Geometry and Complexity Theory

Top-down design of protein architectures with reinforcement learning

Hypergraph Partitioning for Parallel Sparse Matrix-Matrix Multiplication

A framework for practical parallel fast matrix multiplication

MPI-FAUN: An MPI-Based Framework for Alternating-Updating Nonnegative Matrix Factorization

Parallel Tensor Compression for Large-Scale Scientific Data

Improving the Numerical Stability of Fast Matrix Multiplication

The geometry of rank decompositions of matrix multiplication II: 3 × 3 matrices