160 citations · 253 across the 23 of their papers we have counts for
5 papers · 1 filter
ODE-Constrained Generative Modeling of Cardiac Dynamics for 12-Lead ECG Synthesis
Yakir Yehuda, Kira Radinsky
Generating realistic training data for supervised learning remains a significant challenge in artificial intelligence, particularly in domains where large, expert-labeled datasets…
GOProteinGNN: Leveraging Protein Knowledge Graphs for Protein Representation Learning
Dan Kalifa, Uriel Singer, Kira Radinsky
Proteins play a vital role in biological processes and are indispensable for living organisms. Accurate representation of proteins is crucial, especially in drug development. Recen…
Leveraging World Events to Predict E-Commerce Consumer Demand under Anomaly
Dan Kalifa, Uriel Singer, Ido Guy +2
Consumer demand forecasting is of high importance for many e-commerce applications, including supply chain optimization, advertisement placement, and delivery speed optimization. H…
Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform
Noam Koren, Kira Radinsky
Multivariate time series forecasting is a pivotal task in several domains, including financial planning, medical diagnostics, and climate science. This paper presents the Neural Fo…
Leveraging Prototypical Representations for Mitigating Social Bias without Demographic Information
Shadi Iskander, Kira Radinsky, Yonatan Belinkov
Mitigating social biases typically requires identifying the social groups associated with each data sample. In this paper, we present DAFair, a novel approach to address social bia…