Machine Learning for evaluating Kaizens in Volkswagen Production System - An Industrial Case study. - Akshay Thakur; Robert Beck; Sanaz Mostaghim; Daniel Großmann (DSAA, 2020)

Survey into predictive key performance indicator analysis from data mining perspective. - Akshay Thakur; Robert Beck; Sanaz Mostaghim; Daniel Großmann (ETFA, 2020)

A deep learning based surrogate model for stochastic simulators. - Akshay Thakur; Souvik Chakraborty (CoRR, 2021)

Deep Capsule Encoder-Decoder Network for Surrogate Modeling and Uncertainty Quantification. - Akshay Thakur; Souvik Chakraborty (CoRR, 2022)

Multi-fidelity wavelet neural operator with application to uncertainty quantification. - Akshay Thakur; Tapas Tripura; Souvik Chakraborty (CoRR, 2022)

MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation. - Akshay Thakur; Souvik Chakraborty (CoRR, 2024)

Neural network-based Godunov corrections for approximate Riemann solvers using bi-fidelity learning. - Akshay Thakur; Matthew J. Zahr (CoRR, 2025)