216 citations · 379 across the 13 of their papers we have counts for
Showing 2019Show all
2 papers · 1 filter
cs.LG2019★ 216 cited
Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery
Samuel Kim, Peter Y. Lu, Srijon Mukherjee +4
Symbolic regression is a powerful technique that can discover analytical equations that describe data, which can lead to explainable models and generalizability outside of the trai…
physics.comp-ph2019★ 35 cited
Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning
Peter Y. Lu, Samuel Kim, Marin Soljačić
Experimental data is often affected by uncontrolled variables that make analysis and interpretation difficult. For spatiotemporal systems, this problem is further exacerbated by th…