Akshay Thakur

According to our database, Akshay Thakur authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

MD-NOMAD: Mixture density nonlinear manifold decoder for emulating stochastic differential equations and uncertainty propagation.

Akshay Thakur, Souvik Chakraborty

CoRR, 2024

2022

Multi-fidelity wavelet neural operator with application to uncertainty quantification.

Akshay Thakur, Tapas Tripura, Souvik Chakraborty

CoRR, 2022

Deep Capsule Encoder-Decoder Network for Surrogate Modeling and Uncertainty Quantification.

Akshay Thakur, Souvik Chakraborty

CoRR, 2022

2021

A deep learning based surrogate model for stochastic simulators.

Akshay Thakur, Souvik Chakraborty

CoRR, 2021

2020

Survey into predictive key performance indicator analysis from data mining perspective.

Akshay Thakur, Robert Beck, Sanaz Mostaghim, Daniel Großmann

Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation, 2020

Machine Learning for evaluating Kaizens in Volkswagen Production System - An Industrial Case study.

Akshay Thakur, Robert Beck, Sanaz Mostaghim, Daniel Großmann

Proceedings of the 7th IEEE International Conference on Data Science and Advanced Analytics, 2020