Adar Kahana

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 21

Top Topics

Natural Language Processing

Spiking Neural Networks

Top Venues

J. Comput. Phys.

Appl. Math. Comput.

Publications

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)
Oded Ovadia, Adar Kahana, Eli Turkel
A convolutional dispersion relation preserving scheme for the acoustic wave equation. Appl. Math. Comput. 461 (2024)
Adar Kahana, Jaya Susan Mathew, Said Bleik, Jeremy Reynolds, Oren Elisha
Evaluation Methodology for Large Language Models for Multilingual Document Question and Answer. CoRR (2024)
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 (2024)
Mario De Florio, Adar Kahana, George Em Karniadakis
Analysis of biologically plausible neuron models for regression with spiking neural networks. CoRR (2024)
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 (2023)
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 (2023)
Oded Ovadia, Eli Turkel, Adar Kahana, George Em Karniadakis
DiTTO: Diffusion-inspired Temporal Transformer Operator. CoRR (2023)
Varun Kumar, Leonard Gleyzer, Adar Kahana, Khemraj Shukla, George Em Karniadakis
CrunchGPT: A chatGPT assisted framework for scientific machine learning. CoRR (2023)
Oded Ovadia, Adar Kahana, Panos Stinis, Eli Turkel, George Em Karniadakis
ViTO: Vision Transformer-Operator. CoRR (2023)
Adar Kahana, Oren Elisha
MessageNet: Message Classification using Natural Language Processing and Meta-data. CoRR (2023)
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 (2022)
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 (2022)
Adar Kahana, Qian Zhang, Leonard Gleyzer, George Em Karniadakis
Function Regression using Spiking DeepONet. CoRR (2022)
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 (2022)
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 (2022)
Qian Zhang, Adar Kahana, George Em Karniadakis, Panos Stinis
SMS: Spiking Marching Scheme for Efficient Long Time Integration of Differential Equations. CoRR (2022)
Oded Ovadia, Adar Kahana, Eli Turkel
A Convolutional Dispersion Relation Preserving Scheme for the Acoustic Wave Equation. CoRR (2022)
Adar Kahana, Symeon Papadimitropoulos, Eli Turkel, Dmitry Batenkov
A physically-informed Deep-Learning approach for locating sources in a waveguide. CoRR (2022)
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 (2021)
Adar Kahana, Eli Turkel, Shai Dekel, Dan Givoli
Obstacle segmentation based on the wave equation and deep learning. J. Comput. Phys. 413 (2020)