3 papers
cs.LG2026
Structured Hybrid Mechanistic Models for Robust Estimation of Time-Dependent Intervention Outcomes
Tomer Meir, Ori Linial, Danny Eytan +1
Estimating intervention effects in dynamical systems is crucial for outcome optimization. In medicine, such interventions arise in physiological regulation (e.g., cardiovascular sy…
cs.LG2024
Benchmarks for Reinforcement Learning with Biased Offline Data and Imperfect Simulators
Ori Linial, Guy Tennenholtz, Uri Shalit
In many reinforcement learning (RL) applications one cannot easily let the agent act in the world; this is true for autonomous vehicles, healthcare applications, and even some reco…
cs.LG2024
CONFIDE: Contextual Finite Differences Modelling of PDEs
Ori Linial, Orly Avner, Dotan Di Castro
We introduce a method for inferring an explicit PDE from a data sample generated by previously unseen dynamics, based on a learned context. The training phase integrates knowledge…