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Jay Pathak

Large scale scattering using fast solvers based on neural operators

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May 20, 2024
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Diffusion model based data generation for partial differential equations

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Jun 19, 2023
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NLP Inspired Training Mechanics For Modeling Transient Dynamics

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Nov 04, 2022
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A composable machine-learning approach for steady-state simulations on high-resolution grids

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Oct 11, 2022
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A Thermal Machine Learning Solver For Chip Simulation

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Sep 10, 2022
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A Hybrid Iterative Numerical Transferable Solver (HINTS) for PDEs Based on Deep Operator Network and Relaxation Methods

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Aug 28, 2022
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A composable autoencoder-based iterative algorithm for accelerating numerical simulations

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Oct 07, 2021
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Geometry encoding for numerical simulations

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Apr 15, 2021
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One-shot learning for solution operators of partial differential equations

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Apr 06, 2021
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A Latent space solver for PDE generalization

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Apr 06, 2021
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