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Michael D. Shields

5 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author4

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cond-mat.dis-nn1
  • stat.AP1
  • stat.ML1
ORCID 0000-0003-1370-6785

identity via Semantic Scholar / OpenAlex

most citedBayesian Inference with Latent Hamiltonian Neural Networks

2 citations · 3 across the 5 of their papers we have counts for

collaborators
Showing stat.MLShow all

2 papers · 1 filter

stat.ML2024

Bayesian neural networks for predicting uncertainty in full-field material response

George D. Pasparakis, Lori Graham-Brady, Michael D. Shields

Stress and material deformation field predictions are among the most important tasks in computational mechanics. These predictions are typically made by solving the governing equat…

stat.ML2024

Reliability Analysis of Complex Systems using Subset Simulations with Hamiltonian Neural Networks

Denny Thaler, Somayajulu L. N. Dhulipala, Franz Bamer +2

We present a new Subset Simulation approach using Hamiltonian neural network-based Monte Carlo sampling for reliability analysis. The proposed strategy combines the superior sampli…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.