2 papers
cs.AI2026
State Propagation Also Satisfies: A Complex-Valued State-Space Model for Deterministic State Tracking
Xiaohe Li, Yang Lu
Transformer-based architectures have dominated sequence modeling, largely due to the expressive power of attention mechanisms. However, for a class of deterministic state tracking…
cs.LG2026
Learning the Pareto Frontier of Predictive Models under Distribution Shift
Yiming Dong, Jiwei Zhao, Yang Young Lu
Modern machine learning pipelines increasingly rely on reusing pretrained and foundation models across downstream tasks. These pretrained models can differ not only in performance…