Rishikesh Ranade
Orcid: 0000-0002-7692-7502
According to our database1,
Rishikesh Ranade
authored at least 21 papers
between 2020 and 2024.
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2021
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2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
A domain decomposition-based autoregressive deep learning model for unsteady and nonlinear partial differential equations.
CoRR, 2024
Parallel Per-tile Activation with Linear Superposition of Thermal Response for Solving Arbitrary Power Pattern in 3DIC Thermal Simulation.
Proceedings of the 2024 ACM/IEEE International Symposium on Machine Learning for CAD, 2024
2023
Invited Paper: Solving Fine-Grained Static 3DIC Thermal with ML Thermal Solver Enhanced with Decay Curve Characterization.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023
2022
On the Geometry Transferability of the Hybrid Iterative Numerical Solver for Differential Equations.
CoRR, 2022
A Hybrid Iterative Numerical Transferable Solver (HINTS) for PDEs Based on Deep Operator Network and Relaxation Methods.
CoRR, 2022
A composable machine-learning approach for steady-state simulations on high-resolution grids.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 2022 ACM/IEEE Workshop on Machine Learning for CAD, 2022
2021
Algorithmically-consistent deep learning frameworks for structural topology optimization.
Eng. Appl. Artif. Intell., 2021
A composable autoencoder-based iterative algorithm for accelerating numerical simulations.
CoRR, 2021
CoRR, 2021
Generalized Joint Probability Density Function Formulation inTurbulent Combustion using DeepONet.
CoRR, 2021
ActivationNet: Representation learning to predict contact quality of interacting 3-D surfaces in engineering designs.
CoRR, 2021
2020
An Efficient Machine-Learning Approach for PDF Tabulation in Turbulent Combustion Closure.
CoRR, 2020
DiscretizationNet: A Machine-Learning based solver for Navier-Stokes Equations using Finite Volume Discretization.
CoRR, 2020