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08/31/2022
Feynman on Artificial Intelligence and Machine Learning, with Updates
I present my recollections of Richard Feynman's mid-1980s interest in ar...
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09/10/2021
Physics-based machine learning for modeling stochastic IP3-dependent calcium dynamics
We present a machine learning method for model reduction which incorpora...
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06/29/2021
Diff2Dist: Learning Spectrally Distinct Edge Functions, with Applications to Cell Morphology Analysis
We present a method for learning "spectrally descriptive" edge weights f...
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02/14/2020
Graph Prolongation Convolutional Networks: Explicitly Multiscale Machine Learning on Graphs, with Applications to Modeling of Biological Systems
We define a novel type of ensemble Graph Convolutional Network (GCN) mod...
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09/10/2019
Novel diffusion-derived distance measures for graphs
We define a new family of similarity and distance measures on graphs, an...
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05/28/2019
Deep Learning Moment Closure Approximations using Dynamic Boltzmann Distributions
The moments of spatial probabilistic systems are often given by an infin...
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06/14/2018
Multilevel Artificial Neural Network Training for Spatially Correlated Learning
Multigrid modeling algorithms are a technique used to accelerate relaxat...
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04/30/2018
Prospects for Declarative Mathematical Modeling of Complex Biological Systems
Declarative modeling uses symbolic expressions to represent models. With...
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12/03/2012
