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ORCIDEric Mjolsness
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- affiliation: University of California, Irvine, USA
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2020 – today
- 2022
[i13]Eric Mjolsness:
Feynman on Artificial Intelligence and Machine Learning, with Updates. CoRR abs/2209.00083 (2022)- 2021
- [j32]Cory B. Scott
, Eric Mjolsness:
Graph prolongation convolutional networks: explicitly multiscale machine learning on graphs with applications to modeling of cytoskeleton. Mach. Learn. Sci. Technol. 2(1): 15009 (2021) - [i12]Cory Braker Scott, Eric Mjolsness, Diane Oyen, Chie Kodera, David Bouchez, Magalie Uyttewaal:
Diff2Dist: Learning Spectrally Distinct Edge Functions, with Applications to Cell Morphology Analysis. CoRR abs/2106.15716 (2021) - [i11]Oliver K. Ernst, Tom Bartol, Terrence J. Sejnowski, Eric Mjolsness:
Physics-based machine learning for modeling stochastic IP3-dependent calcium dynamics. CoRR abs/2109.05053 (2021) - 2020
- [i10]Cory B. Scott, Eric Mjolsness:
Graph Prolongation Convolutional Networks: Explicitly Multiscale Machine Learning on Graphs, with Applications to Modeling of Biological Systems. CoRR abs/2002.05842 (2020)
2010 – 2019
- 2019
- [j31]Cory B. Scott, Eric Mjolsness:
Multilevel Artificial Neural Network Training for Spatially Correlated Learning. SIAM J. Sci. Comput. 41(5): S297-S320 (2019) - [i9]Oliver K. Ernst, Tom Bartol, Terrence J. Sejnowski, Eric Mjolsness:
Deep Learning Moment Closure Approximations using Dynamic Boltzmann Distributions. CoRR abs/1905.12122 (2019) - [i8]Eric Mjolsness:
Structural Commutation Relations for Stochastic Labelled Graph Grammar Rule Operators. CoRR abs/1909.04118 (2019) - [i7]Cory B. Scott, Eric Mjolsness:
Novel diffusion-derived distance measures for graphs. CoRR abs/1909.04203 (2019) - 2018
- [i6]Eric Mjolsness:
Prospects for Declarative Mathematical Modeling of Complex Biological Systems. CoRR abs/1804.11044 (2018) - [i5]Cory B. Scott, Eric Mjolsness:
Multilevel Artificial Neural Network Training for Spatially Correlated Learning. CoRR abs/1806.05703 (2018) - 2016
- [j30]Bruce E. Shapiro, Eric Mjolsness:
Pycellerator: an arrow-based reaction-like modelling language for biological simulations. Bioinform. 32(4): 629-631 (2016) - 2013
- [c28]Eric Mjolsness:
Quantitative Symbolic Process Models: How a Fair Fraction of Intelligence Could Be Abstracted in AI Research. AAAI Fall Symposia 2013 - 2012
- [i4]Eric Mjolsness:
Time-Ordered Product Expansions for Computational Stochastic Systems Biology. CoRR abs/1209.5231 (2012) - [i3]Eric Mjolsness:
Compositional Stochastic Modeling and Probabilistic Programming. CoRR abs/1212.0582 (2012) - [i2]David Orendorff, Eric Mjolsness:
A Hierarchical Exact Accelerated Stochastic Simulation Algorithm. CoRR abs/1212.4080 (2012) - 2010
- [j29]Victoria V. Mironova, Nadezda A. Omelyanchuk, Guy Yosiphon, Stanislav I. Fadeev, Nikolay A. Kolchanov, Eric Mjolsness, Vitali A. Likhoshvai:
A plausible mechanism for auxin patterning along the developing root. BMC Syst. Biol. 4: 98 (2010) - [j28]Yuanfeng Wang, Scott Christley, Eric Mjolsness, Xiaohui Xie:
Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent. BMC Syst. Biol. 4: 99 (2010) - [c27]Eric Mjolsness:
Towards Measurable Types for Dynamical Process Modeling Languages. MFPS 2010: 123-144 - [p1]Guy Yosiphon, Eric Mjolsness:
Toward the Inference of Stochastic Biochemical Network and Parameterized Grammar Models. Learning and Inference in Computational Systems Biology 2010: 297-314
2000 – 2009
- 2007
- [j27]Eric Mjolsness:
Towards a calculus of biomolecular complexes at equilibrium. Briefings Bioinform. 8(4): 226-233 (2007) - [j26]Eric Mjolsness:
On Cooperative Quasi-Equilibrium Models of transcriptional Regulation. J. Bioinform. Comput. Biol. 5(2b): 467-490 (2007) - [c26]Denis K. Ponomaryov, Nadezhda Omelianchuk, Victoria V. Mironova, Eugene Zalevsky, Nikolay L. Podkolodny, Eric Mjolsness, Nikolay A. Kolchanov:
From Published Expression and Phenotype Data to Structured Knowledge: The Arabidopsis Gene Net Supplementary Database and Its Applications. KONT/KPP 2007: 101-120 - 2006
- [j25]Eric Mjolsness, Guy Yosiphon:
Stochastic process semantics for dynamical grammars. Ann. Math. Artif. Intell. 47(3-4): 329-395 (2006) - [j24]Ashish Bhan, Eric Mjolsness:
Static and dynamic models of biological networks. Complex. 11(6): 57-63 (2006) - [j23]Tarek S. Najdi, Chin-Rang Yang, Bruce E. Shapiro, G. Wesley Hatfield, Eric Mjolsness:
Application of a Generalized Mwc Model for the Mathematical Simulation of Metabolic Pathways Regulated by Allosteric Enzymes. J. Bioinform. Comput. Biol. 4(2): 335-356 (2006) - [j22]Andrew Howard, Michael J. Turmon, Larry H. Matthies, Benyang Tang, Anelia Angelova, Eric Mjolsness:
Towards learned traversability for robot navigation: From underfoot to the far field. J. Field Robotics 23(11-12): 1005-1017 (2006) - [j21]Christopher E. Hart, Eric Mjolsness, Barbara J. Wold:
Connectivity in the Yeast Cell Cycle Transcription Network: Inferences from Neural Networks. PLoS Comput. Biol. 2(12) (2006) - [c25]Eric Mjolsness:
Stochastic Process Semantics for Dynamical Grammar Syntax: An Overview. AI&M 2006 - 2005
- [j20]Chin-Rang Yang, Bruce E. Shapiro, Eric Mjolsness, G. Wesley Hatfield:
An enzyme mechanism language for the mathematical modeling of metabolic pathways. Bioinform. 21(6): 774-780 (2005) - [j19]Jianlin Cheng, Lucas Scharenbroich, Pierre Baldi, Eric Mjolsness:
Sigmoid: A Software Infrastructure for Pathway Bioinformatics and Systems Biology. IEEE Intell. Syst. 20(3): 68-75 (2005) - [c24]Tarek S. Najdi, Chin-Rang Yang, Bruce E. Shapiro, G. Wesley Hatfield, Eric Mjolsness:
Application of a Generalized MWC Model for the Mathematical Simulation of Metabolic Pathways Regulated by Allosteric Enzymes. CSB 2005: 279-288 - [c23]Victoria Gor, Michael B. Elowitz, Tigran Bacarian, Eric Mjolsness:
Tracking Cell Signals in Fluorescent Images. CVPR Workshops 2005: 142 - [c22]Henrik Jönsson, Marcus Heisler, G. Venugopala Reddy, Vikas Agrawal, Victoria Gor, Bruce E. Shapiro, Eric Mjolsness, Elliot M. Meyerowitz:
Modeling the organization of the WUSCHEL expression domain in the shoot apical meristem. ISMB (Supplement of Bioinformatics) 2005: 232-240 - [i1]Eric Mjolsness:
Stochastic Process Semantics for Dynamical Grammar Syntax: An Overview. CoRR abs/cs/0511073 (2005) - 2003
- [j18]Michael Hucka, Andrew Finney, Herbert M. Sauro, H. Bolouri, John C. Doyle, Hiroaki Kitano, Adam P. Arkin, Benjamin J. Bornstein, Dennis Bray, Athel Cornish-Bowden, Autumn A. Cuellar, Serge Dronov, Ernst Dieter Gilles, Martin Ginkel, Victoria Gor, Igor Goryanin, W. J. Hedley, T. Charles Hodgman, Jan-Hendrik S. Hofmeyr, Peter J. Hunter, Nick S. Juty, J. L. Kasberger, Andreas Kremling, Ursula Kummer, Nicolas Le Novère, Leslie M. Loew, D. Lucio, Pedro Mendes, E. Minch, Eric Mjolsness, Yoichi Nakayama, M. R. Nelson, Poul M. F. Nielsen, T. Sakurada, James C. Schaff, Bruce E. Shapiro, Thomas Simon Shimizu, Hugh D. Spence, Jörg Stelling, Koichi Takahashi, Masaru Tomita, J. Wagner, J. Wang:
The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models. Bioinform. 19(4): 524-531 (2003) - [j17]Bruce E. Shapiro, Andre Levchenko, Elliot M. Meyerowitz, Barbara J. Wold, Eric Mjolsness:
Cellerator: extending a computer algebra system to include biochemical arrows for signal transduction simulations. Bioinform. 19(5): 677-678 (2003) - [j16]Ruye Wang, Lucas Scharenbroich, Christopher E. Hart, Barbara J. Wold, Eric Mjolsness:
Clustering analysis of microarray gene expression data by splitting algorithm. J. Parallel Distributed Comput. 63(7-8): 692-706 (2003) - [c21]Darya Chudova, Scott Gaffney, Eric Mjolsness, Padhraic Smyth:
Translation-invariant mixture models for curve clustering. KDD 2003: 79-88 - [c20]Darya Chudova, Christopher E. Hart, Eric Mjolsness, Padhraic Smyth:
Gene Expression Clustering with Functional Mixture Models. NIPS 2003: 683-690 - 2001
- [c19]Anand Rangarajan, Haili Chui, Eric Mjolsness:
A Relationship between Spline-Based Deformable Models and Weighted Graphs in Non-Rigid Matching. CVPR (1) 2001: 897-904 - [c18]Tara A. Estlin, Rebecca Castaño, Ashley Davies, Darren Mutz, Gregg R. Rabideau, Steve A. Chien, Eric Mjolsness:
Goal-Directed Scientific Exploration Using Multiple Rovers. FLAIRS 2001: 33-37 - 2000
- [j15]Eric Mjolsness, Ann Tavormina:
The Synergy of Biology, Intelligent Systems, and Space Exploration. IEEE Intell. Syst. 15(2): 20-25 (2000) - [j14]Chien-Ping Lu, Gregory D. Hager, Eric Mjolsness:
Fast and Globally Convergent Pose Estimation from Video Images. IEEE Trans. Pattern Anal. Mach. Intell. 22(6): 610-622 (2000)
1990 – 1999
- 1999
- [j13]Anand Rangarajan, Alan L. Yuille, Eric Mjolsness:
Convergence Properties of the Softassign Quadratic Assignment Algorithm. Neural Comput. 11(6): 1455-1474 (1999) - [c17]Tara A. Estlin, Alexander G. Gray, Tobias Mann, Gregg R. Rabideau, Rebecca Castaño, Steve A. Chien, Eric Mjolsness:
An Integrated System for Multi-Rover Scientific Exploration. AAAI/IAAI 1999: 613-620 - [c16]Eric Mjolsness, Elliot M. Meyerowitz, Victoria Gor, Tobias Mann:
Morphogenesis in Plants: Modeling the Shoot Apical Meristem, and Possible Applications. Evolvable Hardware 1999: 139-144 - [c15]Anand Rangarajan, Haili Chui, Eric Mjolsness:
A New Distance Measure for Non-rigid Image Matching. EMMCVPR 1999: 237-252 - [c14]Eric Mjolsness, Tobias Mann, Rebecca Castaño, Barbara J. Wold:
From Coexpression to Coregulation: An Approach to Inferring Transcriptional Regulation among Gene Classes from Large-Scale Expression Data. NIPS 1999: 928-934 - 1998
- [j12]Eric Mjolsness, Willard L. Miranker:
A Langrangian Formulation of Neural Networks, part I: Theory and Analog Dynamics. Neural Parallel Sci. Comput. 6(3): 297-335 (1998) - [j11]Eric Mjolsness, Willard L. Miranker:
A Langrangian Formulation of Neural Networks, part II: Clocked Objective Functions and Applications. Neural Parallel Sci. Comput. 6(3): 337-372 (1998) - [j10]Steven Gold, Anand Rangarajan, Chien-Ping Lu, Suguna Pappu, Eric Mjolsness:
New algorithms for 2D and 3D point matching: pose estimation and correspondence. Pattern Recognit. 31(8): 1019-1031 (1998) - 1997
- [j9]Anand Rangarajan, Haili Chui, Eric Mjolsness, Suguna Pappu, Lila Davachi, Patricia S. Goldman-Rakic, James S. Duncan:
A robust point-matching algorithm for autoradiograph alignment. Medical Image Anal. 1(4): 379-398 (1997) - 1996
- [j8]Steven Gold, Anand Rangarajan, Eric Mjolsness:
Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures. Neural Comput. 8(4): 787-804 (1996) - [j7]Anand Rangarajan, Steven Gold, Eric Mjolsness:
A Novel Optimizing Network Architecture with Applications. Neural Comput. 8(5): 1041-1060 (1996) - [j6]Anand Rangarajan, Eric Mjolsness:
A Lagrangian relaxation network for graph matching. IEEE Trans. Neural Networks 7(6): 1365-1381 (1996) - [c13]Anand Rangarajan, Alan L. Yuille, Steven Gold, Eric Mjolsness:
A Convergence Proof for the Softassign Quadratic Assignment Algorithm. NIPS 1996: 620-626 - [c12]Anand Rangarajan, Eric Mjolsness, Suguna Pappu, Lila Davachi, Patricia S. Goldman-Rakic, James S. Duncan:
A Robust Point Matching Algorithm for Autoradiograph Alignment. VBC 1996: 277-286 - 1995
- [c11]Eric Mjolsness, Charles Garrett, John Reinitz, David H. Sharp:
Modeling the Connection Between Development and Evolution: Preliminary Report. Evolution and Biocomputation 1995: 103-122 - [c10]Dimitris I. Tsioutsias, Eric Mjolsness:
A Mulitscale Attentional Framework for Relaxation Neural Networks. NIPS 1995: 633-639 - 1994
- [j5]Dimitris I. Tsioutsias, Eric Mjolsness:
Optimization Dynamics for Partitioned Neural Networks. Int. J. Neural Syst. 5(4): 275-286 (1994) - [c9]Steven Gold, Anand Rangarajan, Eric Mjolsness:
Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures. NIPS 1994: 713-720 - [c8]Steven Gold, Chien-Ping Lu, Anand Rangarajan, Suguna Pappu, Eric Mjolsness:
New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence. NIPS 1994: 957-964 - 1993
- [c7]Steven Gold, Eric Mjolsness, Anand Rangarajan:
Clustering with a Domain-Specific Distance Measure. NIPS 1993: 96-103 - [c6]Chien-Ping Lu, Eric Mjolsness:
Two-Dimensional Object Localization by Coarse-to-Fine Correlation Matching. NIPS 1993: 985-992 - [c5]Przemyslaw Prusinkiewicz, Mark Hammel, Eric Mjolsness:
Animation of plant development. SIGGRAPH 1993: 351-360 - 1991
- [j4]Eric Mjolsness, Charles Garrett, Willard L. Miranker:
Multiscale optimization in neural nets. IEEE Trans. Neural Networks 2(2): 263-274 (1991) - [c4]Eric Mjolsness:
Visual Grammars and Their Neural Nets. NIPS 1991: 428-435 - 1990
- [j3]Eric Mjolsness, Charles Garrett:
Algebraic transformations of objective functions. Neural Networks 3(6): 651-669 (1990) - [c3]Eric Mjolsness, Charles Garrett, Willard L. Miranker:
Multiscale optimization in neural nets: preliminary report. IJCNN 1990: 781-786 - [c2]Eric Mjolsness, Willard L. Miranker:
A Lagrangian Approach to Fixed Points. NIPS 1990: 77-83
1980 – 1989
- 1989
- [j2]Eric Mjolsness, Gene Gindi, P. Anandan:
Optimization in Model Matching and Perceptual Organization. Neural Comput. 1(2): 218-229 (1989) - 1988
- [j1]Tony Zador, Gene Gindi, Eric Mjolsness, P. Anandan:
Neural network for model based recognition: Simulation results. Neural Networks 1(Supplement-1): 532-533 (1988) - [c1]Eric Mjolsness, Gene Gindi, P. Anandan:
Neural Networks for Model Matching and Perceptual Organization. NIPS 1988: 618-625
Coauthor Index
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