22 citations · 28 across the 3 of their papers we have counts for
3 papers
cs.AI2024
A Bayesian Approach to Online Planning
Nir Greshler, David Ben Eli, Carmel Rabinovitz +4
The combination of Monte Carlo tree search and neural networks has revolutionized online planning. As neural network approximations are often imperfect, we ask whether uncertainty…
cs.LG2019★ 22 cited
Evaluating and Calibrating Uncertainty Prediction in Regression Tasks
Dan Levi, Liran Gispan, Niv Giladi +1
Predicting not only the target but also an accurate measure of uncertainty is important for many machine learning applications and in particular safety-critical ones. In this work…
cs.RO2019★ 6 cited
Closing the gap towards end-to-end autonomous vehicle system
Yonatan Glassner, Liran Gispan, Ariel Ayash +1
Designing a driving policy for autonomous vehicles is a difficult task. Recent studies suggested an end-toend (E2E) training of a policy to predict car actuators directly from raw…