Search Results for author: Eli Turkel

Found 5 papers, 0 papers with code

DiTTO: Diffusion-inspired Temporal Transformer Operator

no code implementations18 Jul 2023 Oded Ovadia, Eli Turkel, Adar Kahana, George Em Karniadakis

We also present a method to improve the performance of DiTTO by using fast sampling concepts from diffusion models.

Operator learning Super-Resolution

ViTO: Vision Transformer-Operator

no code implementations15 Mar 2023 Oded Ovadia, Adar Kahana, Panos Stinis, Eli Turkel, George Em Karniadakis

We combine vision transformers with operator learning to solve diverse inverse problems described by partial differential equations (PDEs).

Operator learning Super-Resolution

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

no code implementations28 Aug 2022 Enrui Zhang, Adar Kahana, Eli Turkel, Rishikesh Ranade, Jay Pathak, George Em Karniadakis

Based on recent advances in scientific deep learning for operator regression, we propose HINTS, a hybrid, iterative, numerical, and transferable solver for differential equations.

A physically-informed Deep-Learning approach for locating sources in a waveguide

no code implementations7 Aug 2022 Adar Kahana, Symeon Papadimitropoulos, Eli Turkel, Dmitry Batenkov

Inverse source problems are central to many applications in acoustics, geophysics, non-destructive testing, and more.


A Convolutional Dispersion Relation Preserving Scheme for the Acoustic Wave Equation

no code implementations22 May 2022 Oded Ovadia, Adar Kahana, Eli Turkel

We propose an accurate numerical scheme for approximating the solution of the two dimensional acoustic wave problem.

BIG-bench Machine Learning

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