Reproduce “A block-sparse Tensor Train Format for sample-efficient high-dimensional Polynomial Regression” on OpenResearch

Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.

Universal app for Apple silicon and Intel. Requires macOS 11 or later.

About this paper

Michael Götte, Reinhold Schneider, Philipp Trunschke

Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.