Balasubramanya T. Nadiga

Orcid: 0000-0001-8100-4692

According to our database1, Balasubramanya T. Nadiga authored at least 18 papers between 2006 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Reconstructing Richtmyer-Meshkov instabilities from noisy radiographs using low dimensional features and attention-based neural networks.
CoRR, 2024

Studying the Impact of Latent Representations in Implicit Neural Networks for Scientific Continuous Field Reconstruction.
CoRR, 2024

Parametric Sensitivities of a Wind-driven Baroclinic Ocean Using Neural Surrogates.
Proceedings of the Platform for Advanced Scientific Computing Conference, 2024

Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Surrogate Neural Networks to Estimate Parametric Sensitivity of Ocean Models.
CoRR, 2023

2022
Stochastic Parameterization of Column Physics using Generative Adversarial Networks.
CoRR, 2022

A Bayesian Deep Learning Approach to Near-Term Climate Prediction.
CoRR, 2022

2021
Predicting Shallow Water Dynamics using Echo-State Networks with Transfer Learning.
CoRR, 2021

High-Precision Inversion of Dynamic Radiography Using Hydrodynamic Features.
CoRR, 2021

Feature Importance in a Deep Learning Climate Emulator.
CoRR, 2021

Reservoir Computing as a Tool for Climate Predictability Studies.
CoRR, 2021

2019
Leveraging Bayesian analysis to improve accuracy of approximate models.
J. Comput. Phys., 2019

Towards Solving the Navier-Stokes Equation on Quantum Computers.
CoRR, 2019

2018
Quantum Algorithm Implementations for Beginners.
CoRR, 2018

2017
A New Spectral Clustering Algorithm.
CoRR, 2017

2016
Large-eddy simulation, fuel rod vibration and grid-to-rod fretting in pressurized water reactors.
J. Comput. Phys., 2016

A hybrid incremental projection method for thermal-hydraulics applications.
J. Comput. Phys., 2016

2006
Ocean modelling for climate studies: Eliminating short time scales in long-term, high-resolution studies of ocean circulation.
Math. Comput. Model., 2006


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