Eric Mjolsness

75 papers A* 2B 2Misc 1Journal 46Unranked 23
YearRankTypeTitle / Venue / Authors
2025 J jnl
Graph Lineages and Skeletal Graph Products.
CoRR
Eric Mjolsness, Cory B. Scott
2022 J jnl
Feynman on Artificial Intelligence and Machine Learning, with Updates.
CoRR
Eric Mjolsness
2021 J jnl
Diff2Dist: Learning Spectrally Distinct Edge Functions, with Applications to Cell Morphology Analysis.
CoRR
Cory Braker Scott, Eric Mjolsness, Diane Oyen, Chie Kodera, David Bouchez, Magalie Uyttewaal
2021 J jnl
Graph prolongation convolutional networks: explicitly multiscale machine learning on graphs with applications to modeling of cytoskeleton.
Mach. Learn. Sci. Technol.
Cory B. Scott, Eric Mjolsness
2021 J jnl
Physics-based machine learning for modeling stochastic IP3-dependent calcium dynamics.
CoRR
Oliver K. Ernst, Tom Bartol, Terrence J. Sejnowski, Eric Mjolsness
2020 J jnl
Graph Prolongation Convolutional Networks: Explicitly Multiscale Machine Learning on Graphs, with Applications to Modeling of Biological Systems.
CoRR
Cory B. Scott, Eric Mjolsness
2019 J jnl
Deep Learning Moment Closure Approximations using Dynamic Boltzmann Distributions.
CoRR
Oliver K. Ernst, Tom Bartol, Terrence J. Sejnowski, Eric Mjolsness
2019 J jnl
Multilevel Artificial Neural Network Training for Spatially Correlated Learning.
SIAM J. Sci. Comput.
Cory B. Scott, Eric Mjolsness
2019 J jnl
Novel diffusion-derived distance measures for graphs.
CoRR
Cory B. Scott, Eric Mjolsness
2019 J jnl
Structural Commutation Relations for Stochastic Labelled Graph Grammar Rule Operators.
CoRR
Eric Mjolsness
2018 J jnl
Multilevel Artificial Neural Network Training for Spatially Correlated Learning.
CoRR
Cory B. Scott, Eric Mjolsness
2018 J jnl
Prospects for Declarative Mathematical Modeling of Complex Biological Systems.
CoRR
Eric Mjolsness
2016 J jnl
Pycellerator: an arrow-based reaction-like modelling language for biological simulations.
Bioinform.
Bruce E. Shapiro, Eric Mjolsness
2013 — conf
Quantitative Symbolic Process Models: How a Fair Fraction of Intelligence Could Be Abstracted in AI Research.
AAAI Fall Symposia
Eric Mjolsness
2012 J jnl
A Hierarchical Exact Accelerated Stochastic Simulation Algorithm
CoRR
David Orendorff, Eric Mjolsness
2012 J jnl
Compositional Stochastic Modeling and Probabilistic Programming
CoRR
Eric Mjolsness
2012 J jnl
Time-Ordered Product Expansions for Computational Stochastic Systems Biology
CoRR
Eric Mjolsness
2010 J jnl
A plausible mechanism for auxin patterning along the developing root.
BMC Syst. Biol.
Victoria V. Mironova, Nadezda A. Omelyanchuk, Guy Yosiphon, Stanislav I. Fadeev, Nikolay A. Kolchanov, Eric Mjolsness, Vitali A. Likhoshvai
2010 J jnl
Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent.
BMC Syst. Biol.
Yuanfeng Wang, Scott Christley, Eric Mjolsness, Xiaohui Xie
2010 — ch.
Toward the Inference of Stochastic Biochemical Network and Parameterized Grammar Models.
Learning and Inference in Computational Systems Biology
Guy Yosiphon, Eric Mjolsness
2010 B conf
Towards Measurable Types for Dynamical Process Modeling Languages.
MFPS
Eric Mjolsness
2007 — conf
From Published Expression and Phenotype Data to Structured Knowledge: The Arabidopsis Gene Net Supplementary Database and Its Applications.
KONT/KPP
Denis K. Ponomaryov, Nadezhda Omelianchuk, Victoria V. Mironova, Eugene Zalevsky, Nikolay L. Podkolodny, Eric Mjolsness, Nikolay A. Kolchanov
2007 J jnl
On Cooperative Quasi-Equilibrium Models of transcriptional Regulation.
J. Bioinform. Comput. Biol.
Eric Mjolsness
2007 J jnl
Towards a calculus of biomolecular complexes at equilibrium.
Briefings Bioinform.
Eric Mjolsness
2006 J jnl
Application of a Generalized Mwc Model for the Mathematical Simulation of Metabolic Pathways Regulated by Allosteric Enzymes.
J. Bioinform. Comput. Biol.
Tarek S. Najdi, Chin-Rang Yang, Bruce E. Shapiro, G. Wesley Hatfield, Eric Mjolsness
2006 J jnl
Connectivity in the Yeast Cell Cycle Transcription Network: Inferences from Neural Networks.
PLoS Comput. Biol.
Christopher E. Hart, Eric Mjolsness, Barbara J. Wold
2006 J jnl
Static and dynamic models of biological networks.
Complex.
Ashish Bhan, Eric Mjolsness
2006 — conf
Stochastic Process Semantics for Dynamical Grammar Syntax: An Overview.
AI&M
Eric Mjolsness
2006 J jnl
Stochastic process semantics for dynamical grammars.
Ann. Math. Artif. Intell.
Eric Mjolsness, Guy Yosiphon
2006 J jnl
Towards learned traversability for robot navigation: From underfoot to the far field.
J. Field Robotics
Andrew Howard, Michael J. Turmon, Larry H. Matthies, Benyang Tang, Anelia Angelova, Eric Mjolsness
2005 J jnl
An enzyme mechanism language for the mathematical modeling of metabolic pathways.
Bioinform.
Chin-Rang Yang, Bruce E. Shapiro, Eric Mjolsness, G. Wesley Hatfield
2005 — conf
Application of a Generalized MWC Model for the Mathematical Simulation of Metabolic Pathways Regulated by Allosteric Enzymes.
CSB
Tarek S. Najdi, Chin-Rang Yang, Bruce E. Shapiro, G. Wesley Hatfield, Eric Mjolsness
2005 — conf
Modeling the organization of the WUSCHEL expression domain in the shoot apical meristem.
ISMB (Supplement of Bioinformatics)
Henrik Jönsson, Marcus Heisler, G. Venugopala Reddy, Vikas Agrawal, Victoria Gor, Bruce E. Shapiro, Eric Mjolsness, Elliot M. Meyerowitz
2005 J jnl
Sigmoid: A Software Infrastructure for Pathway Bioinformatics and Systems Biology.
IEEE Intell. Syst.
Jianlin Cheng, Lucas Scharenbroich, Pierre Baldi, Eric Mjolsness
2005 J jnl
Stochastic Process Semantics for Dynamical Grammar Syntax: An Overview
CoRR
Eric Mjolsness
2005 — conf
Tracking Cell Signals in Fluorescent Images.
CVPR Workshops
Victoria Gor, Michael B. Elowitz, Tigran Bacarian, Eric Mjolsness
2003 J jnl
Cellerator: extending a computer algebra system to include biochemical arrows for signal transduction simulations.
Bioinform.
Bruce E. Shapiro, Andre Levchenko, Elliot M. Meyerowitz, Barbara J. Wold, Eric Mjolsness
2003 J jnl
Clustering analysis of microarray gene expression data by splitting algorithm.
J. Parallel Distributed Comput.
Ruye Wang, Lucas Scharenbroich, Christopher E. Hart, Barbara J. Wold, Eric Mjolsness
2003 — conf
Gene Expression Clustering with Functional Mixture Models.
NIPS
Darya Chudova, Christopher E. Hart, Eric Mjolsness, Padhraic Smyth
2003 J jnl
The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.
Bioinform.
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
2003 A* conf
Translation-invariant mixture models for curve clustering.
KDD
Darya Chudova, Scott Gaffney, Eric Mjolsness, Padhraic Smyth
2001 — conf
A Relationship between Spline-Based Deformable Models and Weighted Graphs in Non-Rigid Matching.
CVPR (1)
Anand Rangarajan, Haili Chui, Eric Mjolsness
2001 Misc conf
Goal-Directed Scientific Exploration Using Multiple Rovers.
FLAIRS
Tara A. Estlin, Rebecca Castaño, Ashley Davies, Darren Mutz, Gregg R. Rabideau, Steve A. Chien, Eric Mjolsness
2000 J jnl
Fast and Globally Convergent Pose Estimation from Video Images.
IEEE Trans. Pattern Anal. Mach. Intell.
Chien-Ping Lu, Gregory D. Hager, Eric Mjolsness
2000 J jnl
The Synergy of Biology, Intelligent Systems, and Space Exploration.
IEEE Intell. Syst.
Eric Mjolsness, Ann Tavormina
1999 — conf
A New Distance Measure for Non-rigid Image Matching.
EMMCVPR
Anand Rangarajan, Haili Chui, Eric Mjolsness
1999 — conf
An Integrated System for Multi-Rover Scientific Exploration.
AAAI/IAAI
Tara A. Estlin, Alexander G. Gray, Tobias Mann, Gregg R. Rabideau, Rebecca Castaño, Steve A. Chien, Eric Mjolsness
1999 J jnl
Convergence Properties of the Softassign Quadratic Assignment Algorithm.
Neural Comput.
Anand Rangarajan, Alan L. Yuille, Eric Mjolsness
1999 — conf
From Coexpression to Coregulation: An Approach to Inferring Transcriptional Regulation among Gene Classes from Large-Scale Expression Data.
NIPS
Eric Mjolsness, Tobias Mann, Rebecca Castaño, Barbara J. Wold
1999 — conf
Morphogenesis in Plants: Modeling the Shoot Apical Meristem, and Possible Applications.
Evolvable Hardware
Eric Mjolsness, Elliot M. Meyerowitz, Victoria Gor, Tobias Mann
1998 J jnl
A Langrangian Formulation of Neural Networks, part I: Theory and Analog Dynamics.
Neural Parallel Sci. Comput.
Eric Mjolsness, Willard L. Miranker
1998 J jnl
A Langrangian Formulation of Neural Networks, part II: Clocked Objective Functions and Applications.
Neural Parallel Sci. Comput.
Eric Mjolsness, Willard L. Miranker
1998 J jnl
New algorithms for 2D and 3D point matching: pose estimation and correspondence.
Pattern Recognit.
Steven Gold, Anand Rangarajan, Chien-Ping Lu, Suguna Pappu, Eric Mjolsness
1997 J jnl
A robust point-matching algorithm for autoradiograph alignment.
Medical Image Anal.
Anand Rangarajan, Haili Chui, Eric Mjolsness, Suguna Pappu, Lila Davachi, Patricia S. Goldman-Rakic, James S. Duncan
1996 — conf
A Convergence Proof for the Softassign Quadratic Assignment Algorithm.
NIPS
Anand Rangarajan, Alan L. Yuille, Steven Gold, Eric Mjolsness
1996 J jnl
A Lagrangian relaxation network for graph matching.
IEEE Trans. Neural Networks
Anand Rangarajan, Eric Mjolsness
1996 J jnl
A Novel Optimizing Network Architecture with Applications.
Neural Comput.
Anand Rangarajan, Steven Gold, Eric Mjolsness
1996 — conf
A Robust Point Matching Algorithm for Autoradiograph Alignment.
VBC
Anand Rangarajan, Eric Mjolsness, Suguna Pappu, Lila Davachi, Patricia S. Goldman-Rakic, James S. Duncan
1996 J jnl
Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures.
Neural Comput.
Steven Gold, Anand Rangarajan, Eric Mjolsness
1995 — conf
A Mulitscale Attentional Framework for Relaxation Neural Networks.
NIPS
Dimitris I. Tsioutsias, Eric Mjolsness
1995 — conf
Modeling the Connection Between Development and Evolution: Preliminary Report.
Evolution and Biocomputation
Eric Mjolsness, Charles Garrett, John Reinitz, David H. Sharp
1994 — conf
Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures.
NIPS
Steven Gold, Anand Rangarajan, Eric Mjolsness
1994 — conf
New Algorithms for 2D and 3D Point Matching: Pose Estimation and Correspondence.
NIPS
Steven Gold, Chien-Ping Lu, Anand Rangarajan, Suguna Pappu, Eric Mjolsness
1994 J jnl
Optimization Dynamics for Partitioned Neural Networks.
Int. J. Neural Syst.
Dimitris I. Tsioutsias, Eric Mjolsness
1993 A* conf
Animation of plant development.
SIGGRAPH
Przemyslaw Prusinkiewicz, Mark Hammel, Eric Mjolsness
1993 — conf
Clustering with a Domain-Specific Distance Measure.
NIPS
Steven Gold, Eric Mjolsness, Anand Rangarajan
1993 — conf
Two-Dimensional Object Localization by Coarse-to-Fine Correlation Matching.
NIPS
Chien-Ping Lu, Eric Mjolsness
1991 J jnl
Multiscale optimization in neural nets.
IEEE Trans. Neural Networks
Eric Mjolsness, Charles Garrett, Willard L. Miranker
1991 — conf
Visual Grammars and Their Neural Nets.
NIPS
Eric Mjolsness
1990 — conf
A Lagrangian Approach to Fixed Points.
NIPS
Eric Mjolsness, Willard L. Miranker
1990 J jnl
Algebraic transformations of objective functions.
Neural Networks
Eric Mjolsness, Charles Garrett
1990 B conf
Multiscale optimization in neural nets: preliminary report.
IJCNN
Eric Mjolsness, Charles Garrett, Willard L. Miranker
1989 J jnl
Optimization in Model Matching and Perceptual Organization.
Neural Comput.
Eric Mjolsness, Gene Gindi, P. Anandan
1988 — conf
Neural Networks for Model Matching and Perceptual Organization.
NIPS
Eric Mjolsness, Gene Gindi, P. Anandan
1988 J jnl
Neural network for model based recognition: Simulation results.
Neural Networks
Tony Zador, Gene Gindi, Eric Mjolsness, P. Anandan