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2020 – today
- 2024
[j5]Oded Ovadia
, Adar Kahana, Eli Turkel:
A convolutional dispersion relation preserving scheme for the acoustic wave equation. Appl. Math. Comput. 461: 128317 (2024)- [c1]Bradley H. Theilman, Qian Zhang, Adar Kahana, Eric C. Cyr, Nathaniel Trask, James B. Aimone, George Em Karniadakis:
Spiking Physics-Informed Neural Networks on Loihi 2. NICE 2024: 1-6 - [i15]Mario De Florio, Adar Kahana, George Em Karniadakis:
Analysis of biologically plausible neuron models for regression with spiking neural networks. CoRR abs/2401.00369 (2024) - [i14]Adar Kahana, Jaya Susan Mathew, Said Bleik, Jeremy Reynolds, Oren Elisha:
Evaluation Methodology for Large Language Models for Multilingual Document Question and Answer. CoRR abs/2402.01065 (2024) - [i13]Zongren Zou, Adar Kahana, Enrui Zhang, Eli Turkel, Rishikesh Ranade, Jay Pathak, George Em Karniadakis:
Large scale scattering using fast solvers based on neural operators. CoRR abs/2405.12380 (2024) - 2023
- [i12]Adar Kahana, Oren Elisha:
MessageNet: Message Classification using Natural Language Processing and Meta-data. CoRR abs/2301.01808 (2023) - [i11]Oded Ovadia, Adar Kahana, Panos Stinis, Eli Turkel, George Em Karniadakis:
ViTO: Vision Transformer-Operator. CoRR abs/2303.08891 (2023) - [i10]Varun Kumar, Leonard Gleyzer, Adar Kahana, Khemraj Shukla, George Em Karniadakis:
CrunchGPT: A chatGPT assisted framework for scientific machine learning. CoRR abs/2306.15551 (2023) - [i9]Maria Luisa Taccari, Oded Ovadia, He Wang, Adar Kahana, Xiaohui Chen, Peter K. Jimack:
Understanding the Efficacy of U-Net & Vision Transformer for Groundwater Numerical Modelling. CoRR abs/2307.04010 (2023) - [i8]Oded Ovadia, Eli Turkel, Adar Kahana, George Em Karniadakis:
DiTTO: Diffusion-inspired Temporal Transformer Operator. CoRR abs/2307.09072 (2023) - [i7]Qian Zhang, Chenxi Wu, Adar Kahana, Youngeun Kim, Yuhang Li, George Em Karniadakis, Priyadarshini Panda:
Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning. CoRR abs/2308.16372 (2023) - 2022
- [j4]Adar Kahana, Fouche Smith, Eli Turkel, Semyon Tsynkov:
A high order compact time/space finite difference scheme for the 2D and 3D wave equation with a damping layer. J. Comput. Phys. 460: 111161 (2022) - [j3]Adar Kahana, Eli Turkel, Shai Dekel, Dan Givoli:
A physically-informed deep-learning model using time-reversal for locating a source from sparse and highly noisy sensors data. J. Comput. Phys. 470: 111592 (2022) - [i6]Adar Kahana, Qian Zhang, Leonard Gleyzer, George Em Karniadakis:
Function Regression using Spiking DeepONet. CoRR abs/2205.10130 (2022) - [i5]Oded Ovadia, Adar Kahana, Eli Turkel:
A Convolutional Dispersion Relation Preserving Scheme for the Acoustic Wave Equation. CoRR abs/2205.10825 (2022) - [i4]Adar Kahana, Symeon Papadimitropoulos, Eli Turkel, Dmitry Batenkov:
A physically-informed Deep-Learning approach for locating sources in a waveguide. CoRR abs/2208.04938 (2022) - [i3]Enrui Zhang, Adar Kahana, Eli Turkel, Rishikesh Ranade, Jay Pathak, George Em Karniadakis:
A Hybrid Iterative Numerical Transferable Solver (HINTS) for PDEs Based on Deep Operator Network and Relaxation Methods. CoRR abs/2208.13273 (2022) - [i2]Adar Kahana, Enrui Zhang, Somdatta Goswami, George Em Karniadakis, Rishikesh Ranade, Jay Pathak:
On the Geometry Transferability of the Hybrid Iterative Numerical Solver for Differential Equations. CoRR abs/2210.17392 (2022) - [i1]Qian Zhang, Adar Kahana, George Em Karniadakis, Panos Stinis:
SMS: Spiking Marching Scheme for Efficient Long Time Integration of Differential Equations. CoRR abs/2211.09928 (2022) - 2021
- [j2]Oded Ovadia, Adar Kahana, Eli Turkel, Shai Dekel:
Beyond the Courant-Friedrichs-Lewy condition: Numerical methods for the wave problem using deep learning. J. Comput. Phys. 442: 110493 (2021) - 2020
- [j1]Adar Kahana, Eli Turkel, Shai Dekel, Dan Givoli:
Obstacle segmentation based on the wave equation and deep learning. J. Comput. Phys. 413: 109458 (2020)
Coauthor Index
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