Indu Kant Deo
Orcid: 0000-0002-2030-7881
According to our database1,
Indu Kant Deo
authored at least 10 papers
between 2018 and 2025.
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Bibliography
2025
Predicting Wave Dynamics using Deep Learning with Multistep Integration Inspired Attention and Physics-Based Loss Decomposition.
CoRR, April, 2025
2024
A finite element-inspired hypergraph neural network: Application to fluid dynamics simulations.
J. Comput. Phys., 2024
Data-Driven, Parameterized Reduced-order Models for Predicting Distortion in Metal 3D Printing.
CoRR, 2024
Harnessing Loss Decomposition for Long-Horizon Wave Predictions via Deep Neural Networks.
CoRR, 2024
Continual Learning of Range-Dependent Transmission Loss for Underwater Acoustic using Conditional Convolutional Neural Net.
CoRR, 2024
2022
Combined space-time reduced-order model with 3D deep convolution for extrapolating fluid dynamics.
CoRR, 2022
Learning Wave Propagation with Attention-Based Convolutional Recurrent Autoencoder Net.
CoRR, 2022
2019
Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019
2018
Proceedings of the 15th International Conference on Control, 2018