Gerald M. Pao

According to our database, Gerald M. Pao authored at least 7 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Control of complex systems with generalized embedding and empirical dynamic modeling.

Joseph Park, George Sugihara, Gerald M. Pao

CoRR, 2023

Scalable Empirical Dynamic Modeling With Parallel Computing and Approximate k-NN Search.

Keichi Takahashi, Kohei Ichikawa, Joseph Park, Gerald M. Pao

IEEE Access, 2023

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

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

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

Proceedings of the PEARC '21: Practice and Experience in Advanced Research Computing, 2021

2020

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

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

2019

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