3 papers
cs.LG2026
INSIGHTS: Demonstration-Based Summaries of Time Series Predictors
Bar Eini Porat, Rom Gutman, Uri Shalit +1
Explainability methods have progressed rapidly, but global explanations for time-series models remain underdeveloped, with most approaches focusing on local, instance-level attribu…
stat.ML2025
PyDTS: A Python Package for Discrete-Time Survival Analysis with Competing Risks and Optional Penalization
Tomer Meir, Rom Gutman, Malka Gorfine
Time-to-event (survival) analysis models the time until a pre-specified event occurs. When time is measured in discrete units or rounded into intervals, standard continuous-time mo…
stat.ML2025
From Observational Data to Clinical Recommendations: A Causal Framework for Estimating Patient-level Treatment Effects and Learning Policies
Rom Gutman, Shimon Sheiba, Omer Noy Klein +5
We propose a framework for building patient-specific treatment recommendation models, building on the large recent literature on learning patient-level causal models and inspired b…