Adar Kahana - RankMe

23 papers Journal 22Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Artificial to Spiking Neural Networks Conversion with Calibration in Scientific Machine Learning. SIAM J. Sci. Comput. Qian Zhang, Chenxi Wu, Adar Kahana, George Em Karniadakis, Youngeun Kim, Yuhang Li, Priyadarshini Panda
2024	J	`jnl`	A convolutional dispersion relation preserving scheme for the acoustic wave equation. Appl. Math. Comput. Oded Ovadia, Adar Kahana, Eli Turkel
2024	J	`jnl`	Analysis of biologically plausible neuron models for regression with spiking neural networks. CoRR Mario De Florio, Adar Kahana, George Em Karniadakis
2024	J	`jnl`	Blending neural operators and relaxation methods in PDE numerical solvers. Nat. Mac. Intell. Enrui Zhang, Adar Kahana, Alena Kopanicáková, Eli Turkel, Rishikesh Ranade, Jay Pathak, George Em Karniadakis
2024	J	`jnl`	Evaluation Methodology for Large Language Models for Multilingual Document Question and Answer. CoRR Adar Kahana, Jaya Susan Mathew, Said Bleik, Jeremy Reynolds, Oren Elisha
2024	J	`jnl`	Large scale scattering using fast solvers based on neural operators. CoRR Zongren Zou, Adar Kahana, Enrui Zhang, Eli Turkel, Rishikesh Ranade, Jay Pathak, George Em Karniadakis
2024	—	`conf`	Spiking Physics-Informed Neural Networks on Loihi 2. NICE Bradley H. Theilman, Qian Zhang, Adar Kahana, Eric C. Cyr, Nathaniel Trask, James B. Aimone, George Em Karniadakis
2023	J	`jnl`	Artificial to Spiking Neural Networks Conversion for Scientific Machine Learning. CoRR Qian Zhang, Chenxi Wu, Adar Kahana, Youngeun Kim, Yuhang Li, George Em Karniadakis, Priyadarshini Panda
2023	J	`jnl`	CrunchGPT: A chatGPT assisted framework for scientific machine learning. CoRR Varun Kumar, Leonard Gleyzer, Adar Kahana, Khemraj Shukla, George Em Karniadakis
2023	J	`jnl`	DiTTO: Diffusion-inspired Temporal Transformer Operator. CoRR Oded Ovadia, Eli Turkel, Adar Kahana, George Em Karniadakis
2023	J	`jnl`	MessageNet: Message Classification using Natural Language Processing and Meta-data. CoRR Adar Kahana, Oren Elisha
2023	J	`jnl`	Understanding the Efficacy of U-Net & Vision Transformer for Groundwater Numerical Modelling. CoRR Maria Luisa Taccari, Oded Ovadia, He Wang, Adar Kahana, Xiaohui Chen, Peter K. Jimack
2023	J	`jnl`	ViTO: Vision Transformer-Operator. CoRR Oded Ovadia, Adar Kahana, Panos Stinis, Eli Turkel, George Em Karniadakis
2022	J	`jnl`	A Convolutional Dispersion Relation Preserving Scheme for the Acoustic Wave Equation. CoRR Oded Ovadia, Adar Kahana, Eli Turkel
2022	J	`jnl`	A Hybrid Iterative Numerical Transferable Solver (HINTS) for PDEs Based on Deep Operator Network and Relaxation Methods. CoRR Enrui Zhang, Adar Kahana, Eli Turkel, Rishikesh Ranade, Jay Pathak, George Em Karniadakis
2022	J	`jnl`	A high order compact time/space finite difference scheme for the 2D and 3D wave equation with a damping layer. J. Comput. Phys. Adar Kahana, Fouche Smith, Eli Turkel, Semyon Tsynkov
2022	J	`jnl`	A physically-informed Deep-Learning approach for locating sources in a waveguide. CoRR Adar Kahana, Symeon Papadimitropoulos, Eli Turkel, Dmitry Batenkov
2022	J	`jnl`	A physically-informed deep-learning model using time-reversal for locating a source from sparse and highly noisy sensors data. J. Comput. Phys. Adar Kahana, Eli Turkel, Shai Dekel, Dan Givoli
2022	J	`jnl`	Function Regression using Spiking DeepONet. CoRR Adar Kahana, Qian Zhang, Leonard Gleyzer, George Em Karniadakis
2022	J	`jnl`	On the Geometry Transferability of the Hybrid Iterative Numerical Solver for Differential Equations. CoRR Adar Kahana, Enrui Zhang, Somdatta Goswami, George Em Karniadakis, Rishikesh Ranade, Jay Pathak
2022	J	`jnl`	SMS: Spiking Marching Scheme for Efficient Long Time Integration of Differential Equations. CoRR Qian Zhang, Adar Kahana, George Em Karniadakis, Panos Stinis
2021	J	`jnl`	Beyond the Courant-Friedrichs-Lewy condition: Numerical methods for the wave problem using deep learning. J. Comput. Phys. Oded Ovadia, Adar Kahana, Eli Turkel, Shai Dekel
2020	J	`jnl`	Obstacle segmentation based on the wave equation and deep learning. J. Comput. Phys. Adar Kahana, Eli Turkel, Shai Dekel, Dan Givoli