Eric Mjolsness - Publications

Affiliations: 
University of California, Irvine, Irvine, CA 
Area:
Computer Science

45 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2023 Medwedeff E, Mjolsness E. Approximate simulation of cortical microtubule models using dynamical graph grammars. Physical Biology. PMID 37279763 DOI: 10.1088/1478-3975/acdbfb  0.367
2020 Keating SM, Waltemath D, König M, Zhang F, Dräger A, Chaouiya C, Bergmann FT, Finney A, Gillespie CS, Helikar T, Hoops S, Malik-Sheriff RS, Moodie SL, Moraru II, Myers CJ, ... ... Mjolsness E, et al. SBML Level 3: an extensible format for the exchange and reuse of biological models. Molecular Systems Biology. 16: e9110. PMID 32845085 DOI: 10.15252/Msb.20199110  0.362
2020 Mjolsness E. Operator Algebras for Dynamic Topology Models of Cytoskeleton Biophysical Journal. 118. DOI: 10.1016/J.Bpj.2019.11.2553  0.314
2019 Ernst OK, Bartol TM, Sejnowski TJ, Mjolsness E. Learning moment closure in reaction-diffusion systems with spatial dynamic Boltzmann distributions. Physical Review. E. 99: 063315. PMID 31330605 DOI: 10.1103/Physreve.99.063315  0.681
2019 Mjolsness E. Prospects for Declarative Mathematical Modeling of Complex Biological Systems. Bulletin of Mathematical Biology. PMID 31175549 DOI: 10.1007/S11538-019-00628-7  0.352
2019 Shapiro BE, Mjolsness E. A Pycellerator Tutorial. Methods in Molecular Biology (Clifton, N.J.). 1945: 1-32. PMID 30945240 DOI: 10.1007/978-1-4939-9102-0_1  0.329
2019 Scott CB, Mjolsness E. Multilevel Artificial Neural Network Training for Spatially Correlated Learning Siam Journal On Scientific Computing. 41: S297-S320. DOI: 10.1137/18M1191506  0.373
2019 Mjolsness E, Ernst OK, Bartol TM, Sejnowski TJ. Some Prospects for Artificial Intelligence (Both Numeric and Symbolic) in Multiscale Biophysics Biophysical Journal. 116: 323a. DOI: 10.1016/J.Bpj.2018.11.1753  0.455
2018 Ernst OK, Bartol T, Sejnowski T, Mjolsness E. Learning dynamic Boltzmann distributions as reduced models of spatial chemical kinetics. The Journal of Chemical Physics. 149: 034107. PMID 30037235 DOI: 10.1063/1.5026403  0.682
2016 Shapiro BE, Mjolsness E. Pycellerator: an arrow-based reaction-like modelling language for biological simulations. Bioinformatics (Oxford, England). 32: 629-31. PMID 26504142 DOI: 10.1093/Bioinformatics/Btv596  0.346
2015 Johnson T, Bartol T, Sejnowski T, Mjolsness E. Model reduction for stochastic CaMKII reaction kinetics in synapses by graph-constrained correlation dynamics. Physical Biology. 12: 045005. PMID 26086598 DOI: 10.1088/1478-3975/12/4/045005  0.541
2013 Shapiro BE, Meyerowitz EM, Mjolsness E. Using cellzilla for plant growth simulations at the cellular level. Frontiers in Plant Science. 4: 408. PMID 24137172 DOI: 10.3389/Fpls.2013.00408  0.362
2013 Mjolsness E. Time-ordered product expansions for computational stochastic system biology. Physical Biology. 10: 035009. PMID 23735739 DOI: 10.1088/1478-3975/10/3/035009  0.487
2013 Mjolsness E, Prasad U. Mathematics of small stochastic reaction networks: a boundary layer theory for eigenstate analysis. The Journal of Chemical Physics. 138: 104111. PMID 23514469 DOI: 10.1063/1.4794128  0.376
2012 Orendorff D, Mjolsness E. A hierarchical exact accelerated stochastic simulation algorithm. The Journal of Chemical Physics. 137: 214104. PMID 23231214 DOI: 10.1063/1.4766353  0.693
2012 Mironova VV, Omelyanchuk NA, Novoselova ES, Doroshkov AV, Kazantsev FV, Kochetov AV, Kolchanov NA, Mjolsness E, Likhoshvai VA. Combined in silico/in vivo analysis of mechanisms providing for root apical meristem self-organization and maintenance. Annals of Botany. 110: 349-360. PMID 22510326 DOI: 10.1093/Aob/Mcs069  0.313
2011 Nikolaev SV, Zubairova US, Fadeev SI, Mjolsness E, Kolchanov NA. Study of a one-dimensional model, accounting for cell division, of regulation of the renewing zone size in a biological tissue Journal of Applied and Industrial Mathematics. 5: 601-611. DOI: 10.1134/S1990478911040156  0.309
2010 Mjolsness E. Towards Measurable Types for Dynamical Process Modeling Languages. Electronic Notes in Theoretical Computer Science. 265: 123-144. PMID 21572536 DOI: 10.1016/J.Entcs.2010.08.008  0.335
2010 Wang Y, Christley S, Mjolsness E, Xie X. Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent. Bmc Systems Biology. 4: 99. PMID 20663171 DOI: 10.1186/1752-0509-4-99  0.417
2010 Mironova VV, Omelyanchuk NA, Yosiphon G, Fadeev SI, Kolchanov NA, Mjolsness E, Likhoshvai VA. A plausible mechanism for auxin patterning along the developing root. Bmc Systems Biology. 4: 98. PMID 20663170 DOI: 10.1186/1752-0509-4-98  0.669
2009 Mjolsness E, Orendorff D, Chatelain P, Koumoutsakos P. An exact accelerated stochastic simulation algorithm. The Journal of Chemical Physics. 130: 144110. PMID 19368432 DOI: 10.1063/1.3078490  0.697
2007 Mjolsness E. Towards a calculus of biomolecular complexes at equilibrium. Briefings in Bioinformatics. 8: 226-33. PMID 17640924 DOI: 10.1093/Bib/Bbm034  0.31
2007 Mjolsness E. On cooperative quasi-equilibrium models of transcriptional regulation. Journal of Bioinformatics and Computational Biology. 5: 467-90. PMID 17636856 DOI: 10.1142/S0219720007002874  0.324
2006 Hart CE, Mjolsness E, Wold BJ. Connectivity in the yeast cell cycle transcription network: inferences from neural networks. Plos Computational Biology. 2: e169. PMID 17194216 DOI: 10.1371/Journal.Pcbi.0020169  0.308
2006 Jönsson H, Heisler MG, Shapiro BE, Meyerowitz EM, Mjolsness E. An auxin-driven polarized transport model for phyllotaxis. Proceedings of the National Academy of Sciences of the United States of America. 103: 1633-8. PMID 16415160 DOI: 10.1073/Pnas.0509839103  0.317
2006 Mjolsness E, Yosiphon G. Stochastic process semantics for dynamical grammars Annals of Mathematics and Artificial Intelligence. 47: 329-395. DOI: 10.1007/S10472-006-9034-1  0.709
2006 Mjolsness E. The growth and development of some recent plant models: A viewpoint Journal of Plant Growth Regulation. 25: 270-277. DOI: 10.1007/S00344-006-0069-7  0.374
2006 Bhan A, Mjolsness E. Static and dynamic models of biological networks Complexity. 11: 57-63. DOI: 10.1002/Cplx.20140  0.339
2005 Jönsson H, Heisler M, Reddy GV, Agrawal V, Gor V, Shapiro BE, Mjolsness E, Meyerowitz EM. Modeling the organization of the WUSCHEL expression domain in the shoot apical meristem. Bioinformatics (Oxford, England). 21: i232-40. PMID 15961462 DOI: 10.1093/Bioinformatics/Bti1036  0.364
2005 Hart CE, Sharenbroich L, Bornstein BJ, Trout D, King B, Mjolsness E, Wold BJ. A mathematical and computational framework for quantitative comparison and integration of large-scale gene expression data. Nucleic Acids Research. 33: 2580-94. PMID 15886390 DOI: 10.1093/Nar/Gki536  0.308
2005 Cheng J, Scharenbroich L, Baldi P, Mjolsness E. Sigmoid: A software infrastructure for pathway bioinformatics and systems biology Ieee Intelligent Systems. 20: 68-75. DOI: 10.1109/Mis.2005.51  0.307
2000 Lu CP, Hager GD, Mjolsness E. Fast and globally convergent pose estimation from video images Ieee Transactions On Pattern Analysis and Machine Intelligence. 22: 610-622. DOI: 10.1109/34.862199  0.302
1999 Rangarajan A, Yuille A, Mjolsness E. Convergence properties of the softassign quadratic assignment algorithm Neural Computation. 11: 1455-1474. PMID 10423503 DOI: 10.1162/089976699300016313  0.414
1998 Gold S, Rangarajan A, Lu CP, Pappu S, Mjolsness E. New algorithms for 2D and 3D point matching: Pose estimation and correspondence Pattern Recognition. 31: 1019-1031. DOI: 10.1016/S0031-3203(98)80010-1  0.344
1997 Rangarajan A, Chui H, Mjolsness E, Pappu S, Davachi L, Goldman-Rakic P, Duncan J. A robust point-matching algorithm for autoradiograph alignment. Medical Image Analysis. 1: 379-98. PMID 9873917 DOI: 10.1016/S1361-8415(97)85008-6  0.324
1996 Rangarajan A, Gold S, Mjolsness E. A Novel Optimizing Network Architecture with Applications Neural Computation. 8: 1041-1060. DOI: 10.1162/Neco.1996.8.5.1041  0.305
1996 Lu CP, Mjolsness E, Hager GD. Online computation of exterior orientation with application to hand-eye calibration Mathematical and Computer Modelling. 24: 121-143. DOI: 10.1016/0895-7177(96)00118-5  0.326
1994 Tsioutsias DI, Mjolsness E. Optimization dynamics for partitioned neural networks International Journal of Neural Systems. 5: 275-286. PMID 7711960 DOI: 10.1142/S0129065794000281  0.33
1993 Miranker WL, Mjolsness E. Accelerating neural net dynamics by boundary layer methods Applied Mathematics Letters. 6: 85-89. DOI: 10.1016/0893-9659(93)90041-K  0.301
1993 Sharp DH, Reinitz J, Mjolsness E. Multiscale modeling of developmental processes Open Systems & Information Dynamics. 2: 67-76. DOI: 10.1007/Bf02228972  0.355
1992 Mjolsness E. Visual grammars and their neural networks Proceedings of Spie. 1710: 63-85. DOI: 10.1117/12.140075  0.364
1991 Mjolsness E, Sharp DH, Reinitz J. A connectionist model of development. Journal of Theoretical Biology. 152: 429-53. PMID 1758194 DOI: 10.1016/S0022-5193(05)80391-1  0.389
1989 Mjolsness E, Gindi G, Anandan P. Optimization in Model Matching and Perceptual Organization Neural Computation. 1: 218-229. DOI: 10.1162/Neco.1989.1.2.218  0.308
1989 Mjolsness E, Sharp DH, Alpert BK. Scaling, machine learning, and genetic neural nets Advances in Applied Mathematics. 10: 137-163. DOI: 10.1016/0196-8858(89)90008-0  0.315
1988 Zador T, Gindi G, Mjolsness E, Anandan P. Neural network for model based recognition: Simulation results Neural Networks. 1: 532. DOI: 10.1016/0893-6080(88)90554-0  0.335
Show low-probability matches.