Mojgan Alishiri

Self-explainable Operator Learning for Discovering Spatial Patterns in Functional Data

Mojgan Alishiri, Amirhossein Arzani

Operator learning has emerged as a powerful tool for modeling complex physical systems in functional spaces. However, their neural network-based architectures make them opaque models, obscuring the reasoning behind their predictions. In this work, we introduce a self-explainable…Read more