Adar Kahana

According to our database1, Adar Kahana authored at least 20 papers between 2020 and 2024.

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

Timeline

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Links

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Bibliography

2024
A convolutional dispersion relation preserving scheme for the acoustic wave equation.
Appl. Math. Comput., January, 2024

Large scale scattering using fast solvers based on neural operators.
CoRR, 2024

Evaluation Methodology for Large Language Models for Multilingual Document Question and Answer.
CoRR, 2024

Analysis of biologically plausible neuron models for regression with spiking neural networks.
CoRR, 2024

Spiking Physics-Informed Neural Networks on Loihi 2.
Proceedings of the Neuro Inspired Computational Elements Conference, 2024

2023
Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning.
CoRR, 2023

DiTTO: Diffusion-inspired Temporal Transformer Operator.
CoRR, 2023

Understanding the Efficacy of U-Net & Vision Transformer for Groundwater Numerical Modelling.
CoRR, 2023

CrunchGPT: A chatGPT assisted framework for scientific machine learning.
CoRR, 2023

ViTO: Vision Transformer-Operator.
CoRR, 2023

MessageNet: Message Classification using Natural Language Processing and Meta-data.
CoRR, 2023

2022
A physically-informed deep-learning model using time-reversal for locating a source from sparse and highly noisy sensors data.
J. Comput. Phys., 2022

A high order compact time/space finite difference scheme for the 2D and 3D wave equation with a damping layer.
J. Comput. Phys., 2022

SMS: Spiking Marching Scheme for Efficient Long Time Integration of Differential Equations.
CoRR, 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 physically-informed Deep-Learning approach for locating sources in a waveguide.
CoRR, 2022

Function Regression using Spiking DeepONet.
CoRR, 2022

2021
Beyond the Courant-Friedrichs-Lewy condition: Numerical methods for the wave problem using deep learning.
J. Comput. Phys., 2021

2020
Obstacle segmentation based on the wave equation and deep learning.
J. Comput. Phys., 2020


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