4 papers
Continuous-Time Probabilistic Correctors for Uncertainty-Aware Physics-Based Spacecraft Trajectory Forecasting
Muhammad Bilal Shahid, Zhanhong Jiang, Soumik Sarkar +1
Long-horizon spacecraft trajectory forecasting suffers from error accumulation due to the absence of corrective observations in the forecast regime, making reliable uncertainty est…
Neural CDEs as Correctors for Learned Time Series Models
Muhammad Bilal Shahid, Zhanhong Jiang, Prajwal Koirala +2
Learned time-series models, whether continuous or discrete, are widely used for forecasting the states of dynamical systems but suffer from error accumulation in multi-step forecas…
HopCast: Calibration of Autoregressive Dynamics Models
Muhammad Bilal Shahid, Cody Fleming
Deep learning models are often trained to approximate dynamical systems that can be modeled using differential equations. Many of these models are optimized to predict one step ahe…
Towards Robust Car Following Dynamics Modeling via Blackbox Models: Methodology, Analysis, and Recommendations
Muhammad Bilal Shahid, Cody Fleming
The selection of the target variable is important while learning parameters of the classical car following models like GIPPS, IDM, etc. There is a vast body of literature on which…