Mark K. Transtrum

According to our database, Mark K. Transtrum authored at least 19 papers between 2012 and 2024.

Collaborative distances:

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

2024

Comparing analytic and data-driven approaches to parameter identifiability: A power systems case study.

Nikolaos Evangelou, Alexander M. Stankovic, Ioannis G. Kevrekidis, Mark K. Transtrum

CoRR, 2024

An information-matching approach to optimal experimental design and active learning.

Yonatan Kurniawan, Tracianne B. Neilsen, Benjamin L. Francis, Alex M. Stankovic, Mingjian Wen, Ilia A. Nikiforov, Ellad B. Tadmor, Vasily V. Bulatov, Vincenzo Lordi, Mark K. Transtrum

CoRR, 2024

Aliasing and Label-Independent Decomposition of Risk: Beyond the bias-variance trade-off.

Mark K. Transtrum, Gus L. W. Hart, Tyler J. Jarvis, Jared P. Whitehead

CoRR, 2024

2023

Recurrence Quantification Analysis of Crowd Sound Dynamics.

Shannon Proksch, Majerle Reeves, Kent Gee, Mark K. Transtrum, Christopher T. Kello, Ramesh Balasubramaniam

Cogn. Sci., October, 2023

Integration of Physics- and Data-Driven Power System Models in Transient Analysis After Major Disturbances.

Aleksandar A. Saric, Mark K. Transtrum, Andrija T. Saric, Aleksandar M. Stankovic

IEEE Syst. J., March, 2023

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

Jialin Mao, Itay Griniasty, Han Kheng Teoh, Rahul Ramesh, Rubing Yang, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari

CoRR, 2023

A Picture of the Space of Typical Learnable Tasks.

Rahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari

Proceedings of the International Conference on Machine Learning, 2023

2022

Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling.

Yonatan Kurniawan, Cody L. Petrie, Mark K. Transtrum, Ellad B. Tadmor, Ryan S. Elliott, Daniel S. Karls, Mingjian Wen

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2021

Piecemeal Reduction of Models of Large Networks.

Benjamin L. Francis, Mark K. Transtrum, Andrija T. Saric, Aleksandar M. Stankovic

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Modeling Live Crowd Emotion Dynamics for State Estimation and Prediction.

Brooks A. Butler, Philip E. Paré, Mark K. Transtrum, Sean Warnick

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.

Philip E. Paré, David Grimsman, Alma T. Wilson, Mark K. Transtrum, Sean Warnick

IEEE Trans. Autom. Control., 2019

2018

Experimental design and model reduction in systems biology.

Jenny Jeong, Qinwei Zhuang, Mark K. Transtrum, Enlu Zhou, Peng Qiu

Quant. Biol., 2018

Influence of Communication Irregularities and Co-simulation on Hybrid Power System State Estimation.

Vanja G. Svenda, Alex M. Stankovic, Andrija T. Saric, Mark K. Transtrum

Proceedings of the 2018 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2018

2017

Rational ignorance: simpler models learn more from finite data.

Henry H. Mattingly, Mark K. Transtrum, Michael C. Abbott, Benjamin B. Machta

CoRR, 2017

2016

The Limitations of Model-Based Experimental Design and Parameter Estimation in Sloppy Systems.

Andrew White, Malachi Tolman, Howard D. Thames, Hubert Rodney Withers, Kathy A. Mason, Mark K. Transtrum

PLoS Comput. Biol., 2016

Bridging Mechanistic and Phenomenological Models of Complex Biological Systems.

Mark K. Transtrum, Peng Qiu

PLoS Comput. Biol., 2016

Information geometry for model verification in energy systems.

Mark K. Transtrum, Andrija T. Saric, Alex M. Stankovic

Proceedings of the Power Systems Computation Conference, 2016

2015

A unified view of Balanced Truncation and Singular Perturbation Approximations.

Philip E. Pare, Alma T. Wilson, Mark K. Transtrum, Sean C. Warnick

Proceedings of the American Control Conference, 2015

2012

Optimal experiment selection for parameter estimation in biological differential equation models.

Mark K. Transtrum, Peng Qiu

BMC Bioinform., 2012