Ushnish Sengupta

14 papers A* 1B 1Journal 10Unranked 2

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