Abstract: Recently, a methodology to use the sensitivity information for building the least squares support vector machine (LS-SVM)-based surrogate model for uncertainty quantification in the context ...

On SWE-Bench Verified, the model achieved a score of 70.6%. This performance is notably competitive when placed alongside significantly larger models; it outpaces DeepSeek-V3.2, which scores 70.2%, ...

Abstract: Recently, fully-connected tensor network (FCTN) decomposition, which factorizes the target tensor into a series of interconnected factor tensors, has drawn growing focus on multi-dimensional ...