35 citations · 46 across the 21 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.RO2026
EMPIRIC: Experiment-Driven Learning of Residual World Models for Robot Planning
Yichao Liang, Amber Li, Dat Nguyen +13
A robot should be able to learn through experiments how unfamiliar objects behave and interact, then plan with that knowledge. It need not start from scratch: physics engines suppl…
cs.AI2026
Medical Model Synthesis Architectures: A Case Study
Katherine M. Collins, Marlene Berke, Ilia Sucholutsky +6
Medicine is rife with high-stakes uncertainty. Doctors routinely make clinical judgments and decisions that juggle many fundamental unknowns, like predictions about what might be c…