Physical systems governed by advection-dominated partial differential equations (PDEs) are found in applications ranging from engineering design to weather forecasting. They known pose severe challenges both projection-based and non-intrusive reduced order modeling, especially when linear subspace approximations used. In this work, we develop an advection-aware (AA) autoencoder network that can...