activity
20182026
most citedChoosing observation operators to mitigate model error in Bayesian inverse problems

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

physics.flu-dyn2026

Transonic flow past the complex cavity-sub-cavity configurations

A. Kuniyil, H. Bansal, J. J. Patel +6

The study investigates the physics of unsteady flow in complex cavity geometries operating in the transonic regime. A two-dimensional Detached Eddy Simulation (DES) approach is use…

cs.CE2024

A Score-based Generative Solver for PDE-constrained Inverse Problems with Complex Priors

Yankun Hong, Harshit Bansal, Karen Veroy

In the field of inverse estimation for systems modeled by partial differential equations (PDEs), challenges arise when estimating high- (or even infinite-) dimensional parameters.…

cs.LG2024

Accelerating Simulation of Two-Phase Flows with Neural PDE Surrogates

Yoeri Poels, Koen Minartz, Harshit Bansal +1

Simulation is a powerful tool to better understand physical systems, but generally requires computationally expensive numerical methods. Downstream applications of such simulations…

math.ST2023★ 2 cited

Choosing observation operators to mitigate model error in Bayesian inverse problems

Nada Cvetković, Han Cheng Lie, Harshit Bansal +1

In statistical inference, a discrepancy between the parameter-to-observable map that generates the data and the parameter-to-observable map that is used for inference can lead to m…

cs.LG2018

SciSports: Learning football kinematics through two-dimensional tracking data

Anatoliy Babic, Harshit Bansal, Gianluca Finocchio +7

SciSports is a Dutch startup company specializing in football analytics. This paper describes a joint research effort with SciSports, during the Study Group Mathematics with Indust…