Eric Mjolsness

Publication Activity (10 Years)

Years Active: 1988-2022
Publications (10 Years): 12

Top Topics

Modelling Language

Subgraph Isomorphism

Machine Learning

Biological Systems

Top Venues

AAAI Fall Symposia

Mach. Learn. Sci. Technol.

Publications

Eric Mjolsness
Feynman on Artificial Intelligence and Machine Learning, with Updates. CoRR (2022)
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) (2021)
Oliver K. Ernst, Tom Bartol, Terrence J. Sejnowski, Eric Mjolsness
Physics-based machine learning for modeling stochastic IP3-dependent calcium dynamics. CoRR (2021)
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 (2021)
Cory B. Scott, Eric Mjolsness
Graph Prolongation Convolutional Networks: Explicitly Multiscale Machine Learning on Graphs, with Applications to Modeling of Biological Systems. CoRR (2020)
Eric Mjolsness
Structural Commutation Relations for Stochastic Labelled Graph Grammar Rule Operators. CoRR (2019)
Oliver K. Ernst, Tom Bartol, Terrence J. Sejnowski, Eric Mjolsness
Deep Learning Moment Closure Approximations using Dynamic Boltzmann Distributions. CoRR (2019)
Cory B. Scott, Eric Mjolsness
Multilevel Artificial Neural Network Training for Spatially Correlated Learning. SIAM J. Sci. Comput. 41 (5) (2019)
Cory B. Scott, Eric Mjolsness
Novel diffusion-derived distance measures for graphs. CoRR (2019)
Cory B. Scott, Eric Mjolsness
Multilevel Artificial Neural Network Training for Spatially Correlated Learning. CoRR (2018)
Eric Mjolsness
Prospects for Declarative Mathematical Modeling of Complex Biological Systems. CoRR (2018)
Bruce E. Shapiro, Eric Mjolsness
Pycellerator: an arrow-based reaction-like modelling language for biological simulations. Bioinform. 32 (4) (2016)
Eric Mjolsness
Quantitative Symbolic Process Models: How a Fair Fraction of Intelligence Could Be Abstracted in AI Research. AAAI Fall Symposia (2013)
Eric Mjolsness
Time-Ordered Product Expansions for Computational Stochastic Systems Biology CoRR (2012)
Eric Mjolsness
Compositional Stochastic Modeling and Probabilistic Programming CoRR (2012)
David Orendorff, Eric Mjolsness
A Hierarchical Exact Accelerated Stochastic Simulation Algorithm CoRR (2012)
Eric Mjolsness
Towards Measurable Types for Dynamical Process Modeling Languages. MFPS (2010)
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 (2010)
Yuanfeng Wang, Scott Christley, Eric Mjolsness, Xiaohui Xie
Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent. BMC Syst. Biol. 4 (2010)
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)
Eric Mjolsness
Towards a calculus of biomolecular complexes at equilibrium. Briefings Bioinform. 8 (4) (2007)
Eric Mjolsness
On Cooperative Quasi-Equilibrium Models of transcriptional Regulation. J. Bioinform. Comput. Biol. 5 (2b) (2007)
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)
Ashish Bhan, Eric Mjolsness
Static and dynamic models of biological networks. Complex. 11 (6) (2006)
Eric Mjolsness, Guy Yosiphon
Stochastic process semantics for dynamical grammars. Ann. Math. Artif. Intell. 47 (3-4) (2006)
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) (2006)
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) (2006)
Eric Mjolsness
Stochastic Process Semantics for Dynamical Grammar Syntax: An Overview. AI&M (2006)
Eric Mjolsness
Stochastic Process Semantics for Dynamical Grammar Syntax: An Overview CoRR (2005)
Jianlin Cheng, Lucas Scharenbroich, Pierre Baldi, Eric Mjolsness
Sigmoid: A Software Infrastructure for Pathway Bioinformatics and Systems Biology. IEEE Intell. Syst. 20 (3) (2005)
Victoria Gor, Michael B. Elowitz, Tigran Bacarian, Eric Mjolsness
Tracking Cell Signals in Fluorescent Images. CVPR Workshops (2005)
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) (2005)
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)
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)
Darya Chudova, Scott Gaffney, Eric Mjolsness, Padhraic Smyth
Translation-invariant mixture models for curve clustering. KDD (2003)
Michael Hucka, Andrew Finney, Herbert M. Sauro, H. Bolouri, John C. Doyle, Hiroaki Kitano, Adam P. Arkin, Benjamin J. Bornstein, D. 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) (2003)
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) (2003)
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) (2003)
Darya Chudova, Christopher E. Hart, Eric Mjolsness, Padhraic Smyth
Gene Expression Clustering with Functional Mixture Models. NIPS (2003)
Anand Rangarajan, Haili Chui, Eric Mjolsness
A Relationship between Spline-Based Deformable Models and Weighted Graphs in Non-Rigid Matching. CVPR (1) (2001)
Tara A. Estlin, Rebecca Castaño, Ashley Davies, Darren Mutz, Gregg Rabideau, Steve A. Chien, Eric Mjolsness
Goal-Directed Scientific Exploration Using Multiple Rovers. FLAIRS Conference (2001)
Eric Mjolsness, Ann Tavormina
The Synergy of Biology, Intelligent Systems, and Space Exploration. IEEE Intell. Syst. 15 (2) (2000)
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) (2000)
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)
Anand Rangarajan, Haili Chui, Eric Mjolsness
A New Distance Measure for Non-rigid Image Matching. EMMCVPR (1999)
Anand Rangarajan, Alan L. Yuille, Eric Mjolsness
Convergence Properties of the Softassign Quadratic Assignment Algorithm. Neural Comput. 11 (6) (1999)
Eric Mjolsness, Elliot M. Meyerowitz, Victoria Gor, Tobias Mann
Morphogenesis in Plants: Modeling the Shoot Apical Meristem, and Possible Applications. Evolvable Hardware (1999)
Tara A. Estlin, Alexander G. Gray, Tobias Mann, Gregg Rabideau, Rebecca Castaño, Steve A. Chien, Eric Mjolsness
An Integrated System for Multi-Rover Scientific Exploration. AAAI/IAAI (1999)
Eric Mjolsness, Willard L. Miranker
A Langrangian Formulation of Neural Networks, part I: Theory and Analog Dynamics. Neural Parallel Sci. Comput. 6 (3) (1998)
Eric Mjolsness, Willard L. Miranker
A Langrangian Formulation of Neural Networks, part II: Clocked Objective Functions and Applications. Neural Parallel Sci. Comput. 6 (3) (1998)
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) (1998)
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) (1997)
Anand Rangarajan, Eric Mjolsness
A Lagrangian relaxation network for graph matching. IEEE Trans. Neural Networks 7 (6) (1996)
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)
Anand Rangarajan, Alan L. Yuille, Steven Gold, Eric Mjolsness
A Convergence Proof for the Softassign Quadratic Assignment Algorithm. NIPS (1996)
Steven Gold, Anand Rangarajan, Eric Mjolsness
Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures. Neural Comput. 8 (4) (1996)
Anand Rangarajan, Steven Gold, Eric Mjolsness
A Novel Optimizing Network Architecture with Applications. Neural Comput. 8 (5) (1996)
Eric Mjolsness, Charles Garrett, John Reinitz, David H. Sharp
Modeling the Connection Between Development and Evolution: Preliminary Report. Evolution and Biocomputation (1995)
Dimitris I. Tsioutsias, Eric Mjolsness
A Mulitscale Attentional Framework for Relaxation Neural Networks. NIPS (1995)
Steven Gold, Anand Rangarajan, Eric Mjolsness
Learning with Preknowledge: Clustering with Point and Graph Matching Distance Measures. NIPS (1994)
Dimitris I. Tsioutsias, Eric Mjolsness
Optimization Dynamics for Partitioned Neural Networks. Int. J. Neural Syst. 5 (4) (1994)
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)
Chien-Ping Lu, Eric Mjolsness
Two-Dimensional Object Localization by Coarse-to-Fine Correlation Matching. NIPS (1993)
Przemyslaw Prusinkiewicz, Mark Hammel, Eric Mjolsness
Animation of plant development. SIGGRAPH (1993)
Steven Gold, Eric Mjolsness, Anand Rangarajan
Clustering with a Domain-Specific Distance Measure. NIPS (1993)
Eric Mjolsness
Visual Grammars and Their Neural Nets. NIPS (1991)
Eric Mjolsness, Charles Garrett, Willard L. Miranker
Multiscale optimization in neural nets. IEEE Trans. Neural Networks 2 (2) (1991)
Eric Mjolsness, Charles Garrett, Willard L. Miranker
Multiscale optimization in neural nets: preliminary report. IJCNN (1990)
Eric Mjolsness, Charles Garrett
Algebraic transformations of objective functions. Neural Networks 3 (6) (1990)
Eric Mjolsness, Willard L. Miranker
A Lagrangian Approach to Fixed Points. NIPS (1990)
Eric Mjolsness, Gene Gindi, P. Anandan
Optimization in Model Matching and Perceptual Organization. Neural Comput. 1 (2) (1989)
Eric Mjolsness, Gene Gindi, P. Anandan
Neural Networks for Model Matching and Perceptual Organization. NIPS (1988)
Tony Zador, Gene Gindi, Eric Mjolsness, P. Anandan
Neural network for model based recognition: Simulation results. Neural Networks 1 (Supplement-1) (1988)