Anirudh Deodhar

Orcid: 0009-0006-1276-2792

According to our database1, Anirudh Deodhar authored at least 12 papers between 2022 and 2025.

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

Timeline

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Bibliography

2025
State of Health Estimation of Batteries Using a Time-Informed Dynamic Sequence-Inverted Transformer.
CoRR, July, 2025

Leveraging Knowledge Graphs and LLM Reasoning to Identify Operational Bottlenecks for Warehouse Planning Assistance.
CoRR, July, 2025

GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations.
CoRR, June, 2025

Accelerated Gradient-based Design Optimization Via Differentiable Physics-Informed Neural Operator: A Composites Autoclave Processing Case Study.
CoRR, February, 2025

An advanced physics-informed neural operator for comprehensive design optimization of highly-nonlinear systems: An aerospace composites processing case study.
Eng. Appl. Artif. Intell., 2025

2024
FB-HyDON: Parameter-Efficient Physics-Informed Operator Learning of Complex PDEs via Hypernetwork and Finite Basis Domain Decomposition.
CoRR, 2024

2023
HyperLoRA for PDEs.
CoRR, 2023

Symbolic Regression for PDEs using Pruned Differentiable Programs.
CoRR, 2023

A Model-driven Approach for Knowledge-based Engineering of Industrial Digital Twins.
Proceedings of the 26th ACM/IEEE International Conference on Model Driven Engineering Languages and Systems, 2023

2022
Real-time Health Monitoring of Heat Exchangers using Hypernetworks and PINNs.
CoRR, 2022

On NeuroSymbolic Solutions for PDEs.
CoRR, 2022

Semi-Supervised Cascaded Clustering for Classification of Noisy Label Data.
CoRR, 2022


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