81 citations · 134 across the 19 of their papers we have counts for
20 papers
Machine Fault Classification using Hamiltonian Neural Networks
Jeremy Shen, Jawad Chowdhury, Sourav Banerjee +1
A new approach is introduced to classify faults in rotating machinery based on the total energy signature estimated from sensor measurements. The overall goal is to go beyond using…
Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS
Jawad Chowdhury, Rezaur Rashid, Gabriel Terejanu
Causal modeling provides us with powerful counterfactual reasoning and interventional mechanism to generate predictions and reason under various what-if scenarios. However, causal…
From Causal Pairs to Causal Graphs
Rezaur Rashid, Jawad Chowdhury, Gabriel Terejanu
Causal structure learning from observational data remains a non-trivial task due to various factors such as finite sampling, unobserved confounding factors, and measurement errors.…
Explainable Deep Modeling of Tabular Data using TableGraphNet
Gabriel Terejanu, Jawad Chowdhury, Rezaur Rashid +1
The vast majority of research on explainability focuses on post-explainability rather than explainable modeling. Namely, an explanation model is derived to explain a complex black…
Approximate Sampling using an Accelerated Metropolis-Hastings based on Bayesian Optimization and Gaussian Processes
Asif J. Chowdhury, Gabriel Terejanu
Markov Chain Monte Carlo (MCMC) methods have a drawback when working with a target distribution or likelihood function that is computationally expensive to evaluate, specially when…
A Multiple Filter Based Neural Network Approach to the Extrapolation of Adsorption Energies on Metal Surfaces for Catalysis Applications
Asif J. Chowdhury, Wenqiang Yang, Kareem E. Abdelfatah +3
Computational catalyst discovery involves the development of microkinetic reactor models based on estimated parameters determined from density functional theory (DFT). For complex…