Ushnish Sengupta

According to our database, Ushnish Sengupta authored at least 11 papers between 2020 and 2023.

Collaborative distances:

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

2023

Score Normalization for a Faster Diffusion Exponential Integrator Sampler.

Guoxuan Xia, Duolikun Danier, Ayan Das, Stathi Fotiadis, Farhang Nabiei, Ushnish Sengupta, Alberto Bernacchia

CoRR, 2023

Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling.

Ushnish Sengupta, Chinkuo Jao, Alberto Bernacchia, Sattar Vakili, Da-shan Shiu

Proceedings of the IEEE Global Communications Conference, 2023

2022

Physics-informed Deep Learning for Flow Modelling and Aerodynamic Optimization.

Yubiao Sun, Ushnish Sengupta, Matthew P. Juniper

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021

Meeting Changing Customer Requirements in Food and Agriculture Through the Application of Blockchain Technology.

Ushnish Sengupta, Henry M. Kim

Frontiers Blockchain, 2021

Simultaneous boundary shape estimation and velocity field de-noising in Magnetic Resonance Velocimetry using Physics-informed Neural Networks.

Ushnish Sengupta, Alexandros Kontogiannis, Matthew P. Juniper

CoRR, 2021

Forecasting Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Multimodal Bayesian Deep Learning.

Ushnish Sengupta, Günther Waxenegger-Wilfing, Jan Martin, Justin Hardi, Matthew P. Juniper

CoRR, 2021

Online parameter inference for the simulation of a Bunsen flame using heteroscedastic Bayesian neural network ensembles.

Maximilian L. Croci, Ushnish Sengupta, Matthew P. Juniper

CoRR, 2021

Data Assimilation Using Heteroscedastic Bayesian Neural Network Ensembles for Reduced-Order Flame Models.

Maximilian L. Croci, Ushnish Sengupta, Matthew P. Juniper

Proceedings of the Computational Science - ICCS 2021, 2021

2020

Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning.

Günther Waxenegger-Wilfing, Ushnish Sengupta, Jan Martin, Wolfgang Armbruster, Justin Hardi, Matthew P. Juniper, Michael Oschwald

CoRR, 2020

Real-time parameter inference in reduced-order flame models with heteroscedastic Bayesian neural network ensembles.

Ushnish Sengupta, Maximilian L. Croci, Matthew P. Juniper

CoRR, 2020

Ensembling geophysical models with Bayesian Neural Networks.

Ushnish Sengupta, Matt Amos, J. Scott Hosking, Carl Edward Rasmussen, Matthew P. Juniper, Paul J. Young

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020