@InProceedings{liang2022metashift, title={MetaShift: A Dataset of Datasets for Evaluating Contextual Distribution Shifts and Training Conflicts}, author={Weixin Liang and James Zou}, ...
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 ...
Molecular dynamics is a workhorse of modern computational condensed matter physics. It is frequently used to simulate materials to observe how small scale interactions can give rise to complex ...
Department of Physics & Mathematics, University of Hull, Hull HU6 7RX, U.K. Center for Cooperative Research in Biomaterials (CIC BiomaGUNE), Basque Research and Technology Alliance (BRTA), Paseo de ...
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 ...
The calculation of derivatives is ubiquitous in science and engineering. In thermodynamics, in particular, state properties can be expressed as derivatives of thermodynamic potentials. The manual ...
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