Ushnish Sengupta

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Customer Requirements

Diffusion Models

Top Venues

Publications

Gavin Abercrombie, Djalel Benbouzid, Paolo Giudici, Delaram Golpayegani, Julio Hernandez, Pierre Noro, Harshvardhan Pandit, Eva Paraschou, Charlie Pownall, Jyoti Prajapati, Mark A. Sayre, Ushnish Sengupta, Arthit Suriyawongkul, Ruby Thelot, Sofia Vei, Laura Waltersdorfer
A Collaborative, Human-Centred Taxonomy of AI, Algorithmic, and Automation Harms. CoRR (2024)
Ushnish Sengupta, Chinkuo Jao, Alberto Bernacchia, Sattar Vakili, Da-shan Shiu
Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling. GLOBECOM (2023)
Ushnish Sengupta, Chinkuo Jao, Alberto Bernacchia, Sattar Vakili, Da-shan Shiu
Generative Diffusion Models for Radio Wireless Channel Modelling and Sampling. CoRR (2023)
Guoxuan Xia, Duolikun Danier, Ayan Das, Stathi Fotiadis, Farhang Nabiei, Ushnish Sengupta, Alberto Bernacchia
Score Normalization for a Faster Diffusion Exponential Integrator Sampler. CoRR (2023)
Yubiao Sun, Ushnish Sengupta, Matthew P. Juniper
Physics-informed Deep Learning for Flow Modelling and Aerodynamic Optimization. SSCI (2022)
Ushnish Sengupta, Günther Waxenegger-Wilfing, Jan Martin, Justin Hardi, Matthew P. Juniper
Forecasting Thermoacoustic Instabilities in Liquid Propellant Rocket Engines Using Multimodal Bayesian Deep Learning. CoRR (2021)
Ushnish Sengupta, Alexandros Kontogiannis, Matthew P. Juniper
Simultaneous boundary shape estimation and velocity field de-noising in Magnetic Resonance Velocimetry using Physics-informed Neural Networks. CoRR (2021)
Maximilian L. Croci, Ushnish Sengupta, Matthew P. Juniper
Online parameter inference for the simulation of a Bunsen flame using heteroscedastic Bayesian neural network ensembles. CoRR (2021)
Maximilian L. Croci, Ushnish Sengupta, Matthew P. Juniper
Data Assimilation Using Heteroscedastic Bayesian Neural Network Ensembles for Reduced-Order Flame Models. ICCS (5) (2021)
Ushnish Sengupta, Henry M. Kim
Meeting Changing Customer Requirements in Food and Agriculture Through the Application of Blockchain Technology. Frontiers Blockchain 4 (2021)
Ushnish Sengupta, Maximilian L. Croci, Matthew P. Juniper
Real-time parameter inference in reduced-order flame models with heteroscedastic Bayesian neural network ensembles. CoRR (2020)
Günther Waxenegger-Wilfing, Ushnish Sengupta, Jan Martin, Wolfgang Armbruster, Justin Hardi, Matthew P. Juniper, Michael Oschwald
Early Detection of Thermoacoustic Instabilities in a Cryogenic Rocket Thrust Chamber using Combustion Noise Features and Machine Learning. CoRR (2020)
Ushnish Sengupta, Matt Amos, J. Scott Hosking, Carl Edward Rasmussen, Matthew P. Juniper, Paul J. Young
Ensembling geophysical models with Bayesian Neural Networks. NeurIPS (2020)
Ushnish Sengupta, Matt Amos, J. Scott Hosking, Carl Edward Rasmussen, Matthew P. Juniper, Paul J. Young
Ensembling geophysical models with Bayesian Neural Networks. CoRR (2020)