Reese Jones

Publication Activity (10 Years)

Years Active: 2012-2022
Publications (10 Years): 6

Top Topics

Gaussian Process

Variational Inference

Convolutional Neural Network

Top Venues

Mach. Learn. Sci. Technol.

Multiscale Model. Simul.

Publications

Wyatt Bridgman, Xiaoxuan Zhang, Gregory H. Teichert, Mohammad Khalil, Krishna C. Garikipati, Reese Jones
A heteroencoder architecture for prediction of failure locations in porous metals using variational inference. CoRR (2022)
Jan Niklas Fuhg, Craig M. Hamel, Kyle Johnson, Reese Jones, Nikolaos Bouklas
Modular machine learning-based elastoplasticity: generalization in the context of limited data. CoRR (2022)
Reese Jones, Cosmin Safta, Ari Frankel
Deep learning and multi-level featurization of graph representations of microstructural data. CoRR (2022)
Ari Frankel, Cosmin Safta, Coleman Alleman, Reese Jones
Mesh-based graph convolutional neural network models of processes with complex initial states. CoRR (2021)
Ari Frankel, Kousuke Tachida, Reese Jones
Prediction of the evolution of the stress field of polycrystals undergoing elastic-plastic deformation with a hybrid neural network model. Mach. Learn. Sci. Technol. 1 (3) (2020)
Ari Frankel, Reese Jones, Laura P. Swiler
Tensor Basis Gaussian Process Models of Hyperelastic Materials. CoRR (2019)
Maher Salloum, Khachik Sargsyan, Reese Jones, Habib N. Najm, Bert J. Debusschere
Quantifying Sampling Noise and Parametric Uncertainty in Atomistic-to-Continuum Simulations Using Surrogate Models. Multiscale Model. Simul. 13 (3) (2015)
Maher Salloum, Khachik Sargsyan, Reese Jones, Bert J. Debusschere, Habib N. Najm, Helgi Adalsteinsson
A Stochastic Multiscale Coupling Scheme to Account for Sampling Noise in Atomistic-to-Continuum Simulations. Multiscale Model. Simul. 10 (2) (2012)