Time varying causal network reconstruction of a mouse cell cycle. - Maryam Masnadi-Shirazi; Mano Ram Maurya; Gerald M. Pao; Eugene Ke; Inder M. Verma; Shankar Subramaniam (BMC Bioinform., 2019)

Massively Parallel Causal Inference of Whole Brain Dynamics at Single Neuron Resolution. - Wassapon Watanakeesuntorn; Keichi Takahashi; Kohei Ichikawa; Joseph Park; George Sugihara; Ryousei Takano; Jason Haga; Gerald M. Pao (ICPADS, 2020)

kEDM: A Performance-portable Implementation of Empirical Dynamic Modeling using Kokkos. - Keichi Takahashi; Wassapon Watanakeesuntorn; Kohei Ichikawa; Joseph Park; Ryousei Takano; Jason Haga; George Sugihara; Gerald M. Pao (PEARC, 2021)

Empirical Mode Modeling: A data-driven approach to recover and forecast nonlinear dynamics from noisy data. - Joseph Park; Gerald M. Pao; Erik Stabenau; George Sugihara; Thomas Lorimer (CoRR, 2021)

A Visual Analytics Approach for Ecosystem Dynamics based on Empirical Dynamic Modeling. - Hiroaki Natsukawa; Ethan R. Deyle; Gerald M. Pao; Koji Koyamada; George Sugihara (IEEE Trans. Vis. Comput. Graph., 2021)

Scalable Empirical Dynamic Modeling With Parallel Computing and Approximate k-NN Search. - Keichi Takahashi; Kohei Ichikawa; Joseph Park; Gerald M. Pao (IEEE Access, 2023)

Control of complex systems with generalized embedding and empirical dynamic modeling. - Joseph Park; George Sugihara; Gerald M. Pao (CoRR, 2023)