27 citations · 52 across the 16 of their papers we have counts for
16 papers
A nonparametric approach to understand multivariate quantile dynamics in financial time series
Kunal Rai, Archi Roy, Itai Dattner +1
Over the last decade, nonparametric methods have gained increasing attention for modeling complex data structures due to their flexibility and minimal structural assumptions. In th…
Adaptive Physics-Guided Neural Network
David Shulman, Itai Dattner
This paper introduces an adaptive physics-guided neural network (APGNN) framework for predicting quality attributes from image data by integrating physical laws into deep learning…
Physics-Guided Inverse Regression for Crop Quality Assessment
David Shulman, Assaf Israeli, Yael Botnaro +6
We present an innovative approach leveraging Physics-Guided Neural Networks (PGNNs) for enhancing agricultural quality assessments. Central to our methodology is the application of…
Model Selection for Ordinary Differential Equations: a Statistical Testing Approach
Itai Dattner, Shota Gugushvili, Oleksandr Laskorunskyi
Ordinary differential equations (ODEs) are foundational in modeling intricate dynamics across a gamut of scientific disciplines. Yet, a possibility to represent a single phenomenon…
Modeling Motion Dynamics in Psychotherapy: a Dynamical Systems Approach
Itai Dattner
This study introduces a novel mechanistic modeling and statistical framework for analyzing motion energy dynamics within psychotherapy sessions. We transform raw motion energy data…
A Robust Server-Effort Policy for Fluid Processing Networks
Harold Ship, Evgeny Shindin, Odellia Boni +1
Multi-Class Processing Networks describe a set of servers that perform multiple classes of jobs on different items. A useful and tractable way to find an optimal control for such a…