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Mark K. Transtrum
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2020 – today
- 2024
- [i4]Mark K. Transtrum, Gus L. W. Hart, Tyler J. Jarvis, Jared P. Whitehead:
Aliasing and Label-Independent Decomposition of Risk: Beyond the bias-variance trade-off. CoRR abs/2408.08294 (2024) - 2023
- [j7]Shannon Proksch, Majerle Reeves, Kent Gee, Mark K. Transtrum, Christopher T. Kello, Ramesh Balasubramaniam:
Recurrence Quantification Analysis of Crowd Sound Dynamics. Cogn. Sci. 47(10) (2023) - [j6]Aleksandar A. Saric, Mark K. Transtrum, Andrija T. Saric, Aleksandar M. Stankovic:
Integration of Physics- and Data-Driven Power System Models in Transient Analysis After Major Disturbances. IEEE Syst. J. 17(1): 479-490 (2023) - [c7]Rahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari:
A Picture of the Space of Typical Learnable Tasks. ICML 2023: 28680-28700 - [i3]Jialin Mao, Itay Griniasty, Han Kheng Teoh, Rahul Ramesh, Rubing Yang, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari:
The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold. CoRR abs/2305.01604 (2023) - 2022
- [c6]Yonatan Kurniawan, Cody L. Petrie, Mark K. Transtrum, Ellad B. Tadmor, Ryan S. Elliott, Daniel S. Karls, Mingjian Wen:
Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling. e-Science 2022: 367-377 - [i2]Rahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari:
A picture of the space of typical learnable tasks. CoRR abs/2210.17011 (2022) - 2021
- [c5]Brooks A. Butler, Philip E. Paré, Mark K. Transtrum, Sean Warnick:
Modeling Live Crowd Emotion Dynamics for State Estimation and Prediction. CCTA 2021: 402-407 - [c4]Benjamin L. Francis, Mark K. Transtrum, Andrija T. Saric, Aleksandar M. Stankovic:
Piecemeal Reduction of Models of Large Networks. CDC 2021: 4127-4132
2010 – 2019
- 2019
- [j5]Philip E. Paré, David Grimsman, Alma T. Wilson, Mark K. Transtrum, Sean Warnick:
Model Boundary Approximation Method as a Unifying Framework for Balanced Truncation and Singular Perturbation Approximation. IEEE Trans. Autom. Control. 64(11): 4796-4802 (2019) - 2018
- [j4]Jenny Jeong, Qinwei Zhuang, Mark K. Transtrum, Enlu Zhou, Peng Qiu:
Experimental design and model reduction in systems biology. Quant. Biol. 6(4): 287-306 (2018) - [c3]Vanja G. Svenda, Alex M. Stankovic, Andrija T. Saric, Mark K. Transtrum:
Influence of Communication Irregularities and Co-simulation on Hybrid Power System State Estimation. ISGT Europe 2018: 1-6 - 2017
- [i1]Henry H. Mattingly, Mark K. Transtrum, Michael C. Abbott, Benjamin B. Machta:
Rational ignorance: simpler models learn more from finite data. CoRR abs/1705.01166 (2017) - 2016
- [j3]Mark K. Transtrum, Peng Qiu:
Bridging Mechanistic and Phenomenological Models of Complex Biological Systems. PLoS Comput. Biol. 12(5) (2016) - [j2]Andrew White, Malachi Tolman, Howard D. Thames, Hubert Rodney Withers, Kathy A. Mason, Mark K. Transtrum:
The Limitations of Model-Based Experimental Design and Parameter Estimation in Sloppy Systems. PLoS Comput. Biol. 12(12) (2016) - [c2]Mark K. Transtrum, Andrija T. Saric, Alex M. Stankovic:
Information geometry for model verification in energy systems. PSCC 2016: 1-7 - 2015
- [c1]Philip E. Pare, Alma T. Wilson, Mark K. Transtrum, Sean C. Warnick:
A unified view of Balanced Truncation and Singular Perturbation Approximations. ACC 2015: 1989-1994 - 2012
- [j1]Mark K. Transtrum, Peng Qiu:
Optimal experiment selection for parameter estimation in biological differential equation models. BMC Bioinform. 13: 181 (2012)
Coauthor Index
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