2 papers
cs.LG2026
Disentangling Shared and Task-Specific Representations from Multi-Modal Clinical Data
He Lyu, Huolin Zeng, Junren Wang +7
Real-world clinical data is inherently multimodal, providing complementary evidence that mirrors the practical necessity of jointly assessing multiple related outcomes. Although mu…
math.ST2026
Matching and mixing: Matchability of graphs under Markovian error
Zhirui Li, Keith D. Levin, Zhiang Zhao +1
We consider the problem of graph matching for a sequence of graphs generated under a time-dependent Markov chain noise model. Our edgelighter error model, a variant of the classica…