Mark K. Transtrum

27 papers A* 2B 1C 1Journal 19Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
PropMolFlow: property-guided molecule generation with geometry-complete flow matching.
Nat. Comput. Sci.
Cheng Zeng, Jirui Jin, Connor Ambrose, George Karypis, Mark K. Transtrum, Ellad B. Tadmor, Richard G. Hennig, Adrian Roitberg, Stefano Martiniani, Mingjie Liu
2025 J jnl
All that structure matches does not glitter.
CoRR
Maya M. Martirossyan, Thomas Egg, Philipp Höllmer, George Karypis, Mark K. Transtrum, Adrian Roitberg, Mingjie Liu, Richard G. Hennig, Ellad B. Tadmor, Stefano Martiniani
2025 J jnl
An Analytical Characterization of Sloppiness in Neural Networks: Insights from Linear Models.
CoRR
Jialin Mao, Itay Griniasty, Yan Sun, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
2025 J jnl
Composable and adaptive design of machine learning interatomic potentials guided by Fisher-information analysis.
CoRR
Weishi Wang, Mark K. Transtrum, Vincenzo Lordi, Vasily V. Bulatov, Amit Samanta
2025 A* conf
Open Materials Generation with Stochastic Interpolants.
ICML
Philipp Höllmer, Thomas Egg, Maya M. Martirossyan, Eric Fuemmeler, Zeren Shui, Amit Gupta, Pawan Prakash, Adrian Roitberg, Mingjie Liu, George Karypis, Mark K. Transtrum, Richard G. Hennig, Ellad B. Tadmor, Stefano Martiniani
2025 J jnl
Open Materials Generation with Stochastic Interpolants.
CoRR
Philipp Höllmer, Thomas Egg, Maya M. Martirossyan, Eric Fuemmeler, Amit Gupta, Zeren Shui, Pawan Prakash, Adrian Roitberg, Mingjie Liu, George Karypis, Mark K. Transtrum, Richard G. Hennig, Ellad B. Tadmor, Stefano Martiniani
2024 J jnl
Aliasing and Label-Independent Decomposition of Risk: Beyond the bias-variance trade-off.
CoRR
Mark K. Transtrum, Gus L. W. Hart, Tyler J. Jarvis, Jared P. Whitehead
2024 J jnl
An information-matching approach to optimal experimental design and active learning.
CoRR
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
2024 J jnl
Comparing analytic and data-driven approaches to parameter identifiability: A power systems case study.
CoRR
Nikolaos Evangelou, Alexander M. Stankovic, Ioannis G. Kevrekidis, Mark K. Transtrum
2024 J jnl
Quantitative and Kinetic Proteomics Reveal ApoE Isoform-dependent Proteostasis Adaptations in Mouse Brain.
PLoS Comput. Biol.
Nathan R. Zuniga, Noah E. Earls, Ariel E. A. Denos, Jared M. Elison, Benjamin S. Jones, Ethan G. Smith, Noah G. Moran, Katie L. Broce, Gerome M. Romero, Chad D. Hyer, Kimberly B. Wagstaff, Haifa M. Almughamsi, Mark K. Transtrum, John C. Price
2023 A* conf
A Picture of the Space of Typical Learnable Tasks.
ICML
Rahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
2023 J jnl
Integration of Physics- and Data-Driven Power System Models in Transient Analysis After Major Disturbances.
IEEE Syst. J.
Aleksandar A. Saric, Mark K. Transtrum, Andrija T. Saric, Aleksandar M. Stankovic
2023 J jnl
Recurrence Quantification Analysis of Crowd Sound Dynamics.
Cogn. Sci.
Shannon Proksch, Majerle Reeves, Kent Gee, Mark K. Transtrum, Christopher T. Kello, Ramesh Balasubramaniam
2023 J jnl
The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold.
CoRR
Jialin Mao, Itay Griniasty, Han Kheng Teoh, Rahul Ramesh, Rubing Yang, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
2022 J jnl
A picture of the space of typical learnable tasks.
CoRR
Rahul Ramesh, Jialin Mao, Itay Griniasty, Rubing Yang, Han Kheng Teoh, Mark K. Transtrum, James P. Sethna, Pratik Chaudhari
2022 B conf
Extending OpenKIM with an Uncertainty Quantification Toolkit for Molecular Modeling.
e-Science
Yonatan Kurniawan, Cody L. Petrie, Mark K. Transtrum, Ellad B. Tadmor, Ryan S. Elliott, Daniel S. Karls, Mingjian Wen
2021 — conf
Modeling Live Crowd Emotion Dynamics for State Estimation and Prediction.
CCTA
Brooks A. Butler, Philip E. Paré, Mark K. Transtrum, Sean Warnick
2021 — conf
Piecemeal Reduction of Models of Large Networks.
CDC
Benjamin L. Francis, Mark K. Transtrum, Andrija T. Saric, Aleksandar M. Stankovic
2019 J jnl
Model Boundary Approximation Method as a Unifying Framework for Balanced Truncation and Singular Perturbation Approximation.
IEEE Trans. Autom. Control.
Philip E. Paré, David Grimsman, Alma T. Wilson, Mark K. Transtrum, Sean Warnick
2018 J jnl
Experimental design and model reduction in systems biology.
Quant. Biol.
Jenny Jeong, Qinwei Zhuang, Mark K. Transtrum, Enlu Zhou, Peng Qiu
2018 — conf
Influence of Communication Irregularities and Co-simulation on Hybrid Power System State Estimation.
ISGT Europe
Vanja G. Svenda, Alex M. Stankovic, Andrija T. Saric, Mark K. Transtrum
2017 J jnl
Rational ignorance: simpler models learn more from finite data.
CoRR
Henry H. Mattingly, Mark K. Transtrum, Michael C. Abbott, Benjamin B. Machta
2016 J jnl
Bridging Mechanistic and Phenomenological Models of Complex Biological Systems.
PLoS Comput. Biol.
Mark K. Transtrum, Peng Qiu
2016 — conf
Information geometry for model verification in energy systems.
PSCC
Mark K. Transtrum, Andrija T. Saric, Alex M. Stankovic
2016 J jnl
The Limitations of Model-Based Experimental Design and Parameter Estimation in Sloppy Systems.
PLoS Comput. Biol.
Andrew White, Malachi Tolman, Howard D. Thames, Hubert Rodney Withers, Kathy A. Mason, Mark K. Transtrum
2015 C conf
A unified view of Balanced Truncation and Singular Perturbation Approximations.
ACC
Philip E. Pare, Alma T. Wilson, Mark K. Transtrum, Sean C. Warnick
2012 J jnl
Optimal experiment selection for parameter estimation in biological differential equation models.
BMC Bioinform.
Mark K. Transtrum, Peng Qiu