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Found 4 papers, 1 papers with code
Tree-based Ensemble Learning for Out-of-distribution Detection
In this paper, we propose TOOD detection, a simple yet effective tree-based out-of-distribution (TOOD) detection mechanism to determine if a set of unseen samples will have similar distribution as of the training samples.
Accelerating linear solvers for Stokes problems with C++ metaprogramming
The efficiency is demonstrated with the example of accelerating an iterative solver of a discontinuous Galerkin finite element method for the Stokes problem.
Mathematical Software Distributed, Parallel, and Cluster Computing Data Structures and Algorithms Fluid Dynamics 35-04, 65-04, 65Y05, 65Y10, 65Y15, 97N80
Representability of algebraic topology for biomolecules in machine learning based scoring and virtual screening
This work introduces a number of algebraic topology approaches, such as multicomponent persistent homology, multi-level persistent homology and electrostatic persistence for the representation, characterization, and description of small molecules and biomolecular complexes.
A topological approach for protein classification
However prediction of protein function and dynamics from its sequence and structure is still a fundamental challenge in molecular biology.
Biomolecules
