Adar Kahana

According to our database, Adar Kahana authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A convolutional dispersion relation preserving scheme for the acoustic wave equation.

Oded Ovadia, Adar Kahana, Eli Turkel

Appl. Math. Comput., January, 2024

Large scale scattering using fast solvers based on neural operators.

Zongren Zou, Adar Kahana, Enrui Zhang, Eli Turkel, Rishikesh Ranade, Jay Pathak, George Em Karniadakis

CoRR, 2024

Evaluation Methodology for Large Language Models for Multilingual Document Question and Answer.

Adar Kahana, Jaya Susan Mathew, Said Bleik, Jeremy Reynolds, Oren Elisha

CoRR, 2024

Analysis of biologically plausible neuron models for regression with spiking neural networks.

Mario De Florio, Adar Kahana, George Em Karniadakis

CoRR, 2024

Spiking Physics-Informed Neural Networks on Loihi 2.

Bradley H. Theilman, Qian Zhang, Adar Kahana, Eric C. Cyr, Nathaniel Trask, James B. Aimone, George Em Karniadakis

Proceedings of the Neuro Inspired Computational Elements Conference, 2024

2023

Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning.

Qian Zhang, Chenxi Wu, Adar Kahana, Youngeun Kim, Yuhang Li, George Em Karniadakis, Priyadarshini Panda

CoRR, 2023

DiTTO: Diffusion-inspired Temporal Transformer Operator.

Oded Ovadia, Eli Turkel, Adar Kahana, George Em Karniadakis

CoRR, 2023

Understanding the Efficacy of U-Net & Vision Transformer for Groundwater Numerical Modelling.

Maria Luisa Taccari, Oded Ovadia, He Wang, Adar Kahana, Xiaohui Chen, Peter K. Jimack

CoRR, 2023

CrunchGPT: A chatGPT assisted framework for scientific machine learning.

Varun Kumar, Leonard Gleyzer, Adar Kahana, Khemraj Shukla, George Em Karniadakis

CoRR, 2023

ViTO: Vision Transformer-Operator.

Oded Ovadia, Adar Kahana, Panos Stinis, Eli Turkel, George Em Karniadakis

CoRR, 2023

MessageNet: Message Classification using Natural Language Processing and Meta-data.

Adar Kahana, Oren Elisha

CoRR, 2023

2022

A physically-informed deep-learning model using time-reversal for locating a source from sparse and highly noisy sensors data.

Adar Kahana, Eli Turkel, Shai Dekel, Dan Givoli

J. Comput. Phys., 2022

A high order compact time/space finite difference scheme for the 2D and 3D wave equation with a damping layer.

Adar Kahana, Fouche Smith, Eli Turkel, Semyon Tsynkov

J. Comput. Phys., 2022

SMS: Spiking Marching Scheme for Efficient Long Time Integration of Differential Equations.

Qian Zhang, Adar Kahana, George Em Karniadakis, Panos Stinis

CoRR, 2022

On the Geometry Transferability of the Hybrid Iterative Numerical Solver for Differential Equations.

Adar Kahana, Enrui Zhang, Somdatta Goswami, George Em Karniadakis, Rishikesh Ranade, Jay Pathak

CoRR, 2022

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

Enrui Zhang, Adar Kahana, Eli Turkel, Rishikesh Ranade, Jay Pathak, George Em Karniadakis

CoRR, 2022

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

Adar Kahana, Symeon Papadimitropoulos, Eli Turkel, Dmitry Batenkov

CoRR, 2022

Function Regression using Spiking DeepONet.

Adar Kahana, Qian Zhang, Leonard Gleyzer, George Em Karniadakis

CoRR, 2022

2021

Beyond the Courant-Friedrichs-Lewy condition: Numerical methods for the wave problem using deep learning.

Oded Ovadia, Adar Kahana, Eli Turkel, Shai Dekel

J. Comput. Phys., 2021

2020

Obstacle segmentation based on the wave equation and deep learning.

Adar Kahana, Eli Turkel, Shai Dekel, Dan Givoli

J. Comput. Phys., 2020