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Adar Kahana
Adar Kahana
Postdoc, Brown university & Applied Scientist, Microsoft
Verified email at brown.edu
Title
Cited by
Cited by
Year
Vito: Vision transformer-operator
O Ovadia, A Kahana, P Stinis, E Turkel, D Givoli, GE Karniadakis
Computer Methods in Applied Mechanics and Engineering 428, 117109, 2024
402024
Blending neural operators and relaxation methods in PDE numerical solvers
E Zhang, A Kahana, A Kopaničáková, E Turkel, R Ranade, J Pathak, ...
Nature Machine Intelligence, 1-11, 2024
39*2024
Obstacle segmentation based on the wave equation and deep learning
A Kahana, E Turkel, S Dekel, D Givoli
Journal of Computational Physics 413, 109458, 2020
382020
Mycrunchgpt: A llm assisted framework for scientific machine learning
V Kumar, L Gleyzer, A Kahana, K Shukla, GE Karniadakis
Journal of Machine Learning for Modeling and Computing 4 (4), 2023
332023
System and method for improving machine learning models by detecting and removing inaccurate training data
O Elisha, A Luttwak, H Yehuda, A Kahana, M Bechler-Speicher
US Patent 11,636,389, 2023
272023
Beyond the Courant-Friedrichs-Lewy condition: Numerical methods for the wave problem using deep learning
O Ovadia, A Kahana, E Turkel, S Dekel
Journal of Computational Physics 442, 110493, 2021
212021
Ditto: Diffusion-inspired temporal transformer operator
O Ovadia, E Turkel, A Kahana, GE Karniadakis
arXiv preprint arXiv:2307.09072, 2023
182023
Spiking neural operators for scientific machine learning
A Kahana, Q Zhang, L Gleyzer, GE Karniadakis
arXiv preprint arXiv:2205.10130, 2022
16*2022
On the geometry transferability of the hybrid iterative numerical solver for differential equations
A Kahana, E Zhang, S Goswami, G Karniadakis, R Ranade, J Pathak
Computational Mechanics 72 (3), 471-484, 2023
142023
Artificial to spiking neural networks conversion for scientific machine learning
Q Zhang, C Wu, A Kahana, Y Kim, Y Li, GE Karniadakis, P Panda
arXiv preprint arXiv:2308.16372, 2023
132023
System and method for improving machine learning models based on confusion error evaluation
O Elisha, A Luttwak, H Yehuda, A Kahana, MB Speicher
US Patent 11,636,387, 2023
102023
Sms: Spiking marching scheme for efficient long time integration of differential equations
Q Zhang, A Kahana, GE Karniadakis, P Stinis
arXiv preprint arXiv:2211.09928, 2022
102022
A physically-informed deep-learning model using time-reversal for locating a source from sparse and highly noisy sensors data
A Kahana, E Turkel, S Dekel, D Givoli
Journal of Computational Physics 470, 111592, 2022
92022
Real-time inference and extrapolation via a diffusion-inspired temporal transformer operator (DiTTO)
O Ovadia, V Oommen, A Kahana, A Peyvan, E Turkel, GE Karniadakis
arXiv preprint arXiv:2307.09072, 2023
82023
Iterative vectoring for constructing data driven machine learning models
O Elisha, A Luttwak, H Yehuda, A Kahana, M Bechler-Speicher
US Patent App. 18/050,364, 2023
72023
A high order compact time/space finite difference scheme for the 2D and 3D wave equation with a damping layer
A Kahana, F Smith, E Turkel, S Tsynkov
Journal of Computational Physics 460, 111161, 2022
62022
A convolutional dispersion relation preserving scheme for the acoustic wave equation
O Ovadia, A Kahana, E Turkel
Applied Mathematics and Computation 461, 128317, 2024
52024
Convective wave equation and time reversal process for source refocusing
A Kahana, E Turkel, D Givoli
Journal of theoretical and computational acoustics 26 (02), 1850016, 2018
52018
Rethinking skip connections in spiking neural networks with time-to-first-spike coding
Y Kim, A Kahana, R Yin, Y Li, P Stinis, GE Karniadakis, P Panda
Frontiers in Neuroscience 18, 1346805, 2024
42024
Large scale scattering using fast solvers based on neural operators
Z Zou, A Kahana, E Zhang, E Turkel, R Ranade, J Pathak, GE Karniadakis
arXiv preprint arXiv:2405.12380, 2024
32024
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Articles 1–20