113 citations · 124 across the 8 of their papers we have counts for
8 papers
Automatic Ordinary Differential Equations Discovery For Biological Systems Using Large Language Model Powered Agentic System
David Krongauz, Arad Zulti, Eran Segal +1
Automatic scientific discovery has long been a goal of computational scholars - a machine that can discover nature's secrets on its own, moving computational systems beyond data-fi…
Disturbance-Aware Aerial Robotics for Ethical Wildlife Monitoring
Mahmut Osmanovic, Isac Paulsson, Teddy Lazebnik
Reliable wildlife monitoring is essential for ecology and conservation, yet many existing methods, such as tagging, capture, and close-range observation, can alter the very behavio…
An Epidemiological Modeling Take on Religion Dynamics
Bilge Taskin, Teddy Lazebnik
Religions are among the most consequential social institutions, shaping collective identities, moral norms, and political organization across societies and historical periods. Neve…
Knowledge Integration for Physics-informed Symbolic Regression Using Pre-trained Large Language Models
Bilge Taskin, Wenxiong Xie, Teddy Lazebnik
Symbolic regression (SR) has emerged as a powerful tool for automated scientific discovery, enabling the derivation of governing equations from experimental data. A growing body of…
Exploration-Exploitation Model of Moth-Inspired Olfactory Navigation
Teddy Lazebnik, Yiftach Golov, Roi Gurka +2
Navigation of male moths toward females during the mating search offers a unique perspective on the exploration-exploitation (EE) model in decision-making. This study uses the EE m…
Cancer-inspired Genomics Mapper Model for the Generation of Synthetic DNA Sequences with Desired Genomics Signatures
Teddy Lazebnik, Liron Simon-Keren
Genome data are crucial in modern medicine, offering significant potential for diagnosis and treatment. Thanks to technological advancements, many millions of healthy and diseased…
Improved Prediction of Settling Behaviour of Solid Particles through Machine Learning Analysis of Experimental Retention Time Data
Liron Simon Keren, Teddy Lazebnik, Alex Liberzon
The motion of particles through density-stratified interfaces is a common phenomenon in environmental and engineering applications. However, the mechanics of particle-stratificatio…
A computational framework for physics-informed symbolic regression with straightforward integration of domain knowledge
Liron Simon Keren, Alex Liberzon, Teddy Lazebnik
Discovering a meaningful symbolic expression that explains experimental data is a fundamental challenge in many scientific fields. We present a novel, open-source computational fra…