activity
20202025
most citedLearning phase transitions from regression uncertainty: A new regression-based machine learning approach for automated detection of phases of matter

8 citations · 12 across the 8 of their papers we have counts for

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cond-mat.dis-nn2020★ 1 cited

Reveal flocking phase transition of self-propelled active particles by machine learning regression uncertainty

Wei-Chen Guo, Bao-Quan Ai, Liang He

We develop the neural network based "learning from regression uncertainty" approach for automated detection of phases of matter in nonequilibrium active systems. Taking the flockin…