NTL-9
Emerging4papers using it
2023first seen
The 'NTL-9' dataset is used to evaluate the effectiveness of random nonlinear projections in compressing large feature spaces while retaining essential information for analyzing molecular processes, specifically in the context of protein folding.
Papers using NTL-9 (4)
- Random functions as data compressors for machine learning of molecular processesFast conformational clustering of extensive molecular dynamics
simulation dataPeering inside the black box: Learning the relevance of many-body
functions in Neural Network potentialsLearning data efficient coarse-grained molecular dynamics from forces and noise