talks

Final Year Fellow Presentation (Chemistry Graph Neural Networks)

Engineering Fast Kernels for Rotation-Equivariant Deep Neural Networks

Subspace Embeddings for Khatri-Rao Products (Redux)

Sampling-Based Sketches for Tensor Train Core Chains

Distributed-Memory Randomized Candecomp / PARAFAC Decomposition

Randomized Leverage Score Sampling and CP Decomposition (Redux)

Exploiting Sparsity and Randomness to Accelerate Linear Least-Squares at Scale

Leverage-Score Sampling for CP and Tensor-Train Decomposition

Introduction to TT-ALS and TT-Cross