Beyond the Courant-Friedrichs-Lewy condition: Numerical methods for the wave problem using deep learning. - Oded Ovadia; Adar Kahana; Eli Turkel; Shai Dekel (J. Comput. Phys., 2021)

Detection of Infectious Disease Outbreaks in Search Engine Time Series Using Non-Specific Syndromic Surveillance with Effect-Size Filtering. - Oded Ovadia; Oren Elisha; Elad Yom-Tov (WWW (Companion Volume), 2022)

Detecting Anatomy Openings in the Left Atrium Via a Triangular Ultrasonic Array Using Deep Learning. - Alon Baram; Oded Ovadia; Grigoriy Zurakhov; Raja Giyras; Eli Turkel; Hayit Greenspan (ISBI, 2023)

ViTO: Vision Transformer-Operator. - Oded Ovadia; Adar Kahana; Panos Stinis; Eli Turkel; George Em Karniadakis (CoRR, 2023)

Understanding the Efficacy of U-Net & Vision Transformer for Groundwater Numerical Modelling. - Maria Luisa Taccari; Oded Ovadia; He Wang 002; Adar Kahana; Xiaohui Chen; Peter K. Jimack (CoRR, 2023)

DiTTO: Diffusion-inspired Temporal Transformer Operator. - Oded Ovadia; Eli Turkel; Adar Kahana; George Em Karniadakis (CoRR, 2023)

Fine-Tuning or Retrieval? Comparing Knowledge Injection in LLMs. - Oded Ovadia; Menachem Brief; Moshik Mishaeli; Oren Elisha (EMNLP, 2024)

Mixing It Up: The Cocktail Effect of Multi-Task Fine-Tuning on LLM Performance - A Case Study in Finance. - Meni Brief; Oded Ovadia; Gil Shenderovitz; Noga Ben Yoash; Rachel Lemberg; Eitam Sheetrit (CoRR, 2024)

A convolutional dispersion relation preserving scheme for the acoustic wave equation. - Oded Ovadia; Adar Kahana; Eli Turkel (Appl. Math. Comput., 2024)

SECQUE: A Benchmark for Evaluating Real-World Financial Analysis Capabilities. - Noga Ben Yoash; Meni Brief; Oded Ovadia; Gil Shenderovitz; Moshik Mishaeli; Rachel Lemberg; Eitam Sheetrit (CoRR, 2025)

Knowledge-Instruct: Effective Continual Pre-training from Limited Data using Instructions. - Oded Ovadia; Meni Brief; Rachel Lemberg; Eitam Sheetrit (CoRR, 2025)