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Machine Learning: Science and Technology
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August 12, 2025
Graph prolongation convolutional networks: explicitly multiscale machine learning on graphs with applications to modeling of cytoskeleton
Cory B Scott, Eric Mjolsness
Plos One
|
April 27, 2021
Graph diffusion distance: Properties and efficient computation
C B Scott, Eric Mjolsness
Bioinformatics (Oxford, England)
|
October 28, 2015
Pycellerator: an arrow-based reaction-like modelling language for biological simulations
Bruce E Shapiro, Eric Mjolsness
BMC Systems Biology
|
July 29, 2010
Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent
Yuanfeng Wang, Scott Christley, Eric Mjolsness, et al.
Plos Computational Biology
|
December 30, 2006
Connectivity in the yeast cell cycle transcription network: inferences from neural networks
Christopher E Hart, Eric Mjolsness, Barbara J Wold
Physical Biology
|
June 19, 2015
Model reduction for stochastic CaMKII reaction kinetics in synapses by graph-constrained correlation dynamics
Todd Johnson, Tom Bartol, Terrence Sejnowski, et al.
Frontiers in Plant Science
|
October 19, 2013
Using cellzilla for plant growth simulations at the cellular level
Bruce E Shapiro, Elliot M Meyerowitz, Eric Mjolsness
The Journal of Chemical Physics
|
April 17, 2009
An exact accelerated stochastic simulation algorithm
Eric Mjolsness, David Orendorff, Philippe Chatelain, et al.
The Journal of Chemical Physics
|
July 25, 2018
Learning dynamic Boltzmann distributions as reduced models of spatial chemical kinetics
Oliver K Ernst, Thomas Bartol, Terrence Sejnowski, et al.
Arxiv
|
May 5, 2025
Synaptic Spine Head Morphodynamics from Graph Grammar Rules for Actin Dynamics
Matthew Hur, Thomas Bartol, Padmini Rangamani, et al.
Page
of 4
Search research articles
Search
Showing results (11-20 of 35) with videos related to
Sort By:
Page
of 4
Machine Learning: Science and Technology
|
August 12, 2025
Graph prolongation convolutional networks: explicitly multiscale machine learning on graphs with applications to modeling of cytoskeleton
Cory B Scott, Eric Mjolsness
Plos One
|
April 27, 2021
Graph diffusion distance: Properties and efficient computation
C B Scott, Eric Mjolsness
Bioinformatics (Oxford, England)
|
October 28, 2015
Pycellerator: an arrow-based reaction-like modelling language for biological simulations
Bruce E Shapiro, Eric Mjolsness
BMC Systems Biology
|
July 29, 2010
Parameter inference for discretely observed stochastic kinetic models using stochastic gradient descent
Yuanfeng Wang, Scott Christley, Eric Mjolsness, et al.
Plos Computational Biology
|
December 30, 2006
Connectivity in the yeast cell cycle transcription network: inferences from neural networks
Christopher E Hart, Eric Mjolsness, Barbara J Wold
Physical Biology
|
June 19, 2015
Model reduction for stochastic CaMKII reaction kinetics in synapses by graph-constrained correlation dynamics
Todd Johnson, Tom Bartol, Terrence Sejnowski, et al.
Frontiers in Plant Science
|
October 19, 2013
Using cellzilla for plant growth simulations at the cellular level
Bruce E Shapiro, Elliot M Meyerowitz, Eric Mjolsness
The Journal of Chemical Physics
|
April 17, 2009
An exact accelerated stochastic simulation algorithm
Eric Mjolsness, David Orendorff, Philippe Chatelain, et al.
The Journal of Chemical Physics
|
July 25, 2018
Learning dynamic Boltzmann distributions as reduced models of spatial chemical kinetics
Oliver K Ernst, Thomas Bartol, Terrence Sejnowski, et al.
Arxiv
|
May 5, 2025
Synaptic Spine Head Morphodynamics from Graph Grammar Rules for Actin Dynamics
Matthew Hur, Thomas Bartol, Padmini Rangamani, et al.
Page
of 4