Perspective: Sloppiness and emergent theories in physics, biology, and beyond MK Transtrum, BB Machta, KS Brown, BC Daniels, CR Myers, JP Sethna The Journal of chemical physics 143 (1), 2015 | 350 | 2015 |
Parameter space compression underlies emergent theories and predictive models BB Machta, R Chachra, MK Transtrum, JP Sethna Science 342 (6158), 604-607, 2013 | 319 | 2013 |
Improvements to the Levenberg-Marquardt algorithm for nonlinear least-squares minimization MK Transtrum, JP Sethna arXiv preprint arXiv:1201.5885, 2012 | 254 | 2012 |
Geometry of nonlinear least squares with applications to sloppy models and optimization MK Transtrum, BB Machta, JP Sethna Physical Review E 83 (3), 036701, 2011 | 235 | 2011 |
Why are nonlinear fits to data so challenging? MK Transtrum, BB Machta, JP Sethna Physical review letters 104 (6), 060201, 2010 | 231 | 2010 |
Model reduction by manifold boundaries MK Transtrum, P Qiu Physical review letters 113 (9), 098701, 2014 | 141 | 2014 |
Superheating field of superconductors within Ginzburg-Landau theory MK Transtrum, G Catelani, JP Sethna Physical Review B 83 (9), 094505, 2011 | 117 | 2011 |
Bridging mechanistic and phenomenological models of complex biological systems MK Transtrum, P Qiu PLoS computational biology 12 (5), e1004915, 2016 | 82 | 2016 |
Mechanisms of in vivo ribosome maintenance change in response to nutrient signals AD Mathis, BC Naylor, RH Carson, E Evans, J Harwell, J Knecht, ... Molecular & Cellular Proteomics 16 (2), 243-254, 2017 | 81 | 2017 |
Theoretical estimates of maximum fields in superconducting resonant radio frequency cavities: stability theory, disorder, and laminates DB Liarte, S Posen, MK Transtrum, G Catelani, M Liepe, JP Sethna Superconductor Science and Technology 30 (3), 033002, 2017 | 80 | 2017 |
The limitations of model-based experimental design and parameter estimation in sloppy systems A White, M Tolman, HD Thames, HR Withers, KA Mason, MK Transtrum PLoS computational biology 12 (12), e1005227, 2016 | 67 | 2016 |
Enzyme kinetics determined by single-injection isothermal titration calorimetry MK Transtrum, LD Hansen, C Quinn Methods 76, 194-200, 2015 | 56 | 2015 |
Maximizing the information learned from finite data selects a simple model HH Mattingly, MK Transtrum, MC Abbott, BB Machta Proceedings of the National Academy of Sciences 115 (8), 1760-1765, 2018 | 53 | 2018 |
Enzyme-catalyzed and binding reaction kinetics determined by titration calorimetry LD Hansen, MK Transtrum, C Quinn, N Demarse Biochimica et Biophysica Acta (BBA)-General Subjects 1860 (5), 957-966, 2016 | 53 | 2016 |
Use of the LQ model with large fraction sizes results in underestimation of isoeffect doses T Sheu, J Molkentine, MK Transtrum, TA Buchholz, HR Withers, ... Radiotherapy and Oncology 109 (1), 21-25, 2013 | 48 | 2013 |
Optimal experiment selection for parameter estimation in biological differential equation models MK Transtrum, P Qiu BMC bioinformatics 13, 1-12, 2012 | 47 | 2012 |
Sloppiness and the geometry of parameter space BK Mannakee, AP Ragsdale, MK Transtrum, RN Gutenkunst Uncertainty in Biology: A Computational Modeling Approach, 271-299, 2016 | 42 | 2016 |
Vortex nucleation in superconductors within time-dependent Ginzburg-Landau theory in two and three dimensions: Role of surface defects and material inhomogeneities AR Pack, J Carlson, S Wadsworth, MK Transtrum Physical Review B 101 (14), 144504, 2020 | 37 | 2020 |
Information geometry approach to verification of dynamic models in power systems MK Transtrum, AT Sarić, AM Stanković IEEE Transactions on Power Systems 33 (1), 440-450, 2017 | 35 | 2017 |
Measurement-directed reduction of dynamic models in power systems MK Transtrum, AT Sarić, AM Stanković IEEE Transactions on Power Systems 32 (3), 2243-2253, 2016 | 35 | 2016 |