Michael J. Shelley

Publication Activity (10 Years)

Years Active: 1993-2024
Publications (10 Years): 13

Top Topics

Neural Architecture

Transfer Learning

Completely Automatic

Density Estimators

Top Venues

J. Comput. Phys.

Nat. Comput. Sci.

SIAM J. Appl. Math.

Publications

Suryanarayana Maddu, Scott Weady, Michael J. Shelley
Learning fast, accurate, and stable closures of a kinetic theory of an active fluid. J. Comput. Phys. 504 (2024)
Zijun Zhang, Adam R. Lamson, Michael J. Shelley, Olga G. Troyanskaya
Interpretable neural architecture search and transfer learning for understanding CRISPR-Cas9 off-target enzymatic reactions. Nat. Comput. Sci. 3 (12) (2023)
Victor Chardès, Suryanarayana Maddu, Michael J. Shelley
Stochastic force inference via density estimation. CoRR (2023)
Scott Weady, Michael J. Shelley, David B. Stein
A fast Chebyshev method for the Bingham closure with application to active nematic suspensions. J. Comput. Phys. 457 (2022)
Scott Weady, David B. Stein, Michael J. Shelley
A fast Chebyshev method for the Bingham closure with application to active nematic suspensions. CoRR (2021)
Jinzi Mac Huang, Michael J. Shelley, David B. Stein
A stable and accurate scheme for solving the Stefan problem coupled with natural convection using the Immersed Boundary Smooth Extension method. J. Comput. Phys. 432 (2021)
Jinzi Mac Huang, Michael J. Shelley, David B. Stein
A stable and accurate scheme for solving the Stefan problem coupled with natural convection using the Immersed Boundary Smooth Extension method. CoRR (2020)
Wen Yan, Eduardo Corona, Dhairya Malhotra, Shravan K. Veerapaneni, Michael J. Shelley
A scalable computational platform for particulate Stokes suspensions. J. Comput. Phys. 416 (2020)
Wen Yan, Eduardo Corona, Dhairya Malhotra, Shravan K. Veerapaneni, Michael J. Shelley
A scalable computational platform for particulate Stokes suspensions. CoRR (2019)
Wen Yan, Michael J. Shelley
Universal image systems for non-periodic and periodic Stokes flows above a no-slip wall. J. Comput. Phys. 375 (2018)
Wen Yan, Michael J. Shelley
Flexibly imposing periodicity in kernel independent FMM: A multipole-to-local operator approach. J. Comput. Phys. 355 (2018)
Jiajun Tong, Michael J. Shelley
Directed Migration of Microscale Swimmers by an Array of Shaped Obstacles: Modeling and Shape Optimization. SIAM J. Appl. Math. 78 (5) (2018)
Ehssan Nazockdast, Abtin Rahimian, Denis Zorin, Michael J. Shelley
A fast platform for simulating semi-flexible fiber suspensions applied to cell mechanics. J. Comput. Phys. 329 (2017)
Leslie Greengard, Michael J. Shelley
Editorial. Adv. Comput. Math. 36 (1) (2012)
Eric E. Keaveny, Michael J. Shelley
Applying a second-kind boundary integral equation for surface tractions in Stokes flow. J. Comput. Phys. 230 (5) (2011)
Kukjin Kang, Michael J. Shelley, James Andrew Henrie, Robert Shapley
LFP spectral peaks in V1 cortex: network resonance and cortico-cortical feedback. J. Comput. Neurosci. 29 (3) (2010)
Alex Kanevsky, Michael J. Shelley, Anna-Karin Tornberg
Modeling simple locomotors in Stokes flow. J. Comput. Phys. 229 (4) (2010)
Shawn W. Walker, Michael J. Shelley
Shape optimization of peristaltic pumping. J. Comput. Phys. 229 (4) (2010)
Wei Zhu, Michael J. Shelley, Robert Shapley
A neuronal network model of primary visual cortex explains spatial frequency selectivity. J. Comput. Neurosci. 26 (2) (2009)
Melinda Evrithiki Koelling, Robert Shapley, Michael J. Shelley
Retinal and cortical nonlinearities combine to produce masking in V1 responses to plaids. J. Comput. Neurosci. 25 (2) (2008)
Gregor Kovacic, Louis Tao, David Cai, Michael J. Shelley
Theoretical analysis of reverse-time correlation for idealized orientation tuning dynamics. J. Comput. Neurosci. 25 (3) (2008)
Petri Fast, Michael J. Shelley
Moore's law and the Saffman-Taylor instability. J. Comput. Phys. 212 (1) (2006)
Michael J. Shelley, David McLaughlin, Robert Shapley, Jacob Wielaard
States of High Conductance in a Large-Scale Model of the Visual Cortex . J. Comput. Neurosci. 13 (2) (2002)
Michael J. Shelley, David McLaughlin
Coarse-Grained Reduction and Analysis of a Network Model of Cortical Response: I. Drifting Grating Stimuli. J. Comput. Neurosci. 12 (2) (2002)
Michael J. Shelley, Louis Tao
Efficient and Accurate Time-Stepping Schemes for Integrate-and-Fire Neuronal Networks. J. Comput. Neurosci. 11 (2) (2001)
M. C. Pugh, Dario L. Ringach, Robert Shapley, Michael J. Shelley
Computational Modeling of Orientation Tuning Dynamics in Monkey Primary Visual Cortex. J. Comput. Neurosci. 8 (2) (2000)
John S. Lowengrub, Michael J. Shelley, Barry Merriman
High-Order and Efficient Methods for the Vorticity Formulation of the Euler Equations. SIAM J. Sci. Comput. 14 (5) (1993)
Thomas Y. Hou, John S. Lowengrub, Michael J. Shelley
The Convergence of an Exact Desingularization for Vortex Methods. SIAM J. Sci. Comput. 14 (1) (1993)