2 citations · 3 across the 8 of their papers we have counts for
8 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…
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…
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…
DKL-KAN: Scalable Deep Kernel Learning using Kolmogorov-Arnold Networks
Shrenik Zinage, Sudeepta Mondal, Soumalya Sarkar
The need for scalable and expressive models in machine learning is paramount, particularly in applications requiring both structural depth and flexibility. Traditional deep learnin…
Leveraging Gated Recurrent Units for Iterative Online Precise Attitude Control for Geodetic Missions
Vrushabh Zinage, Shrenik Zinage, Srinivas Bettadpur +1
In this paper, we consider the problem of precise attitude control for geodetic missions, such as the GRACE Follow-on (GRACE-FO) mission. Traditional and well-established control m…
Data Driven Modeling of Turbocharger Turbine using Koopman Operator
Shrenik Zinage, Suyash Jadhav, Yifei Zhou +2
A turbocharger plays an essential part in reducing emissions and increasing the fuel efficiency of road vehicles. The pulsating flow of exhaust gases, along with high heat exchange…
Deep Reinforcement Learning Based Controller for Active Heave Compensation
Shrenik Zinage, Abhilash Somayajula
Heave compensation is an essential part in various offshore operations. It is used in various applications, which include on-loading or off-loading systems, offshore drilling, land…