Mark K. Transtrum

Orcid: 0000-0001-9529-9399

According to our database1, Mark K. Transtrum authored at least 16 papers between 2012 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Recurrence Quantification Analysis of Crowd Sound Dynamics.
Cogn. Sci., October, 2023

Integration of Physics- and Data-Driven Power System Models in Transient Analysis After Major Disturbances.
IEEE Syst. J., March, 2023

The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold.
CoRR, 2023

A Picture of the Space of Typical Learnable Tasks.
Proceedings of the International Conference on Machine Learning, 2023

2022
Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling.
Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021
Piecemeal Reduction of Models of Large Networks.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Modeling Live Crowd Emotion Dynamics for State Estimation and Prediction.
Proceedings of the IEEE Conference on Control Technology and Applications, 2021

2019
Model Boundary Approximation Method as a Unifying Framework for Balanced Truncation and Singular Perturbation Approximation.
IEEE Trans. Autom. Control., 2019

2018
Experimental design and model reduction in systems biology.
Quant. Biol., 2018

Influence of Communication Irregularities and Co-simulation on Hybrid Power System State Estimation.
Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2018

2017
Rational ignorance: simpler models learn more from finite data.
CoRR, 2017

2016
The Limitations of Model-Based Experimental Design and Parameter Estimation in Sloppy Systems.
PLoS Comput. Biol., 2016

Bridging Mechanistic and Phenomenological Models of Complex Biological Systems.
PLoS Comput. Biol., 2016

Information geometry for model verification in energy systems.
Proceedings of the Power Systems Computation Conference, 2016

2015
A unified view of Balanced Truncation and Singular Perturbation Approximations.
Proceedings of the American Control Conference, 2015

2012
Optimal experiment selection for parameter estimation in biological differential equation models.
BMC Bioinform., 2012


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