4 papers
SVI-DAG: A Structured Variational Inference Approach to Bayesian Causal Discovery
Shrenik Zinage
Bayesian causal discovery seeks to determine the posterior distribution of causal theories, which are interpreted as directed acyclic graphs (DAGs) that explain the observed data.…
Bayesian Calibration of Engine-out NOx Models for Engine-to-Engine Transferability
Shrenik Zinage, Peter Meckl, Ilias Bilionis
Accurate prediction of engine-out NOx is essential for meeting stringent emissions regulations and optimizing engine performance. Traditional approaches rely on models trained on d…
A Causal Graph-Enhanced Gaussian Process Regression for Modeling Engine-out NOx
Shrenik Zinage, Ilias Bilionis, Peter Meckl
The stringent regulatory requirements on nitrogen oxides (NOx) emissions from diesel compression ignition engines require accurate and reliable models for real time monitoring and…
Transformer-Based Model Predictive Path Integral Control
Shrenik Zinage, Vrushabh Zinage, Efstathios Bakolas
This paper presents a novel approach to improve the Model Predictive Path Integral (MPPI) control by using a transformer to initialize the mean control sequence. Traditional MPPI m…