1 citations · 1 across the 3 of their papers we have counts for
3 papers
physics.comp-ph2026
Acquiring Human-Like Data-Efficient Mechanics Prediction from Deep Reinforcement Learning
Jingruo Peng, Shuze Zhu
Humans can infer mechanical outcomes by learning from a few observations. This capacity for mechanics intuition is acquired in a data-efficient manner. Here, we propose a reinforce…
physics.comp-ph2025
Variational Learning of Physical Intuition from a Few Observations: Charting Manifolds of Variational Physics
Jingruo Peng, Shuze Zhu
Humans often generalize physical outcomes from few observations, a desirable capacity known as physical intuition. We show that it can be computationally approached through chartin…
cs.CE2025★ 1 cited
Developing Artificial Mechanics Intuitions from Extremely Small Data
Jingruo Peng, Shuze Zhu
Humans can possess good mechanics intuitions by learning from a few examples, which leads to the question of how to develop artificial mechanics intuitions that can be learned from…