@InProceedings{liang2022metashift, title={MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts}, author={Weixin Liang and James Zou}, ...

The lmfit Python library provides tools for non-linear least-squares minimization and curve fitting. The goal is to make these optimization algorithms more flexible, more comprehensible, and easier to ...

The investigation of biomolecular conformational changes can help us to understand the molecular mechanisms of many important biological processes, including protein folding 1,2, protein–ligand ...

As actuaries, we constantly strive to find the correct assumptions, set appropriate prices, and ensure financial stability. This often involves solving for unknown variables to meet specific targets.

ProcessOptimizer is a Python package designed to provide easy access to advanced machine learning techniques, specifically Bayesian optimization using, e.g., Gaussian processes. Aimed at ...

Everyone knows AIs are dangerous. Everyone knows they can rattle off breakthroughs in wildlife tracking and protein folding before lunch, put half the workforce out of a job by supper, and fake enough ...

Dependency distance is regarded as an index of memory load and a measure of syntactic difficulty. Previous research has found that dependency distance tends to minimize both synchronically and ...

You are free to share (copy and redistribute) this article in any medium or format and to adapt (remix, transform, and build upon) the material for any purpose, even commercially within the parameters ...

Metabolism relies on a small class of molecules (coenzymes) that serve as universal donors and acceptors of key chemical groups and electrons. Although metabolic networks crucially depend on ...