Govinda Anantha Padmanabha

According to our database, Govinda Anantha Padmanabha authored at least 6 papers between 2021 and 2025.

Collaborative distances:

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

2025

Physics Augmented Machine Learning Discovery of Composition-Dependent Constitutive Laws for 3D Printed Digital Materials.

Steven Yang, Michal Levin, Govinda Anantha Padmanabha, Miriam Borshevsky, Ohad Cohen, D. Thomas Seidl, Reese E. Jones, Nikolaos Bouklas, Noy Cohen

CoRR, July, 2025

2024

Condensed Stein Variational Gradient Descent for Uncertainty Quantification of Neural Networks.

Govinda Anantha Padmanabha, Cosmin Safta, Nikolaos Bouklas, Reese E. Jones

CoRR, 2024

Improving the performance of Stein variational inference through extreme sparsification of physically-constrained neural network models.

Govinda Anantha Padmanabha, Jan Niklas Fuhg, Cosmin Safta, Reese E. Jones, Nikolaos Bouklas

CoRR, 2024

A review on data-driven constitutive laws for solids.

Jan Niklas Fuhg, Govinda Anantha Padmanabha, Nikolaos Bouklas, Bahador Bahmani, WaiChing Sun, Nikolaos N. Vlassis, Moritz Flaschel, Pietro Carrara, Laura De Lorenzis

CoRR, 2024

2021

Solving inverse problems using conditional invertible neural networks.

Govinda Anantha Padmanabha, Nicholas Zabaras

J. Comput. Phys., 2021

A Bayesian Multiscale Deep Learning Framework for Flows in Random Media.

Govinda Anantha Padmanabha, Nicholas Zabaras

CoRR, 2021