Nicholas Zabaras

Identifiers

• name variant Nicholas Zabaras 0.60 · backfill

Papers (10)

1. Physics-Constrained Deep Learning for High-dimensional Surrogate Modeling and Uncertainty Quantification without Labeled Data physics.comp-ph · 2019 · author #2
2. Deep autoregressive neural networks for high-dimensional inverse problems in groundwater contaminant source identification stat.ML · 2018 · author #2
3. Predictive Collective Variable Discovery with Deep Bayesian Models stat.ML · 2018 · author #2
4. Structured Bayesian Gaussian process latent variable model: applications to data-driven dimensionality reduction and high-dimensional inversion stat.ML · 2018 · author #2
5. Quantifying model form uncertainty in Reynolds-averaged turbulence models with Bayesian deep neural networks physics.flu-dyn · 2018 · author #2
6. Deep convolutional encoder-decoder networks for uncertainty quantification of dynamic multiphase flow in heterogeneous media stat.ML · 2018 · author #3
7. Structured Bayesian Gaussian process latent variable model stat.ML · 2018 · author #2
8. Bayesian Deep Convolutional Encoder-Decoder Networks for Surrogate Modeling and Uncertainty Quantification physics.comp-ph · 2018 · author #2
9. Predictive Coarse-Graining stat.ML · 2016 · author #2
10. Variational Reformulation of Bayesian Inverse Problems stat.ML · 2014 · author #4

Mentions

• 1410.5522 #4 · backfill · confidence 0.70 Nicholas Zabaras

Frequent Coauthors

• Phaedon-Stelios Koutsourelakis 3 shared papers
• Yinhao Zhu 3 shared papers
• Jichun Wu 2 shared papers
• Markus Sch\"oberl 2 shared papers
• Shaoxing Mo 2 shared papers
• Steven Atkinson 2 shared papers
• Xiaoqing Shi 2 shared papers
• Ilias Bilionis 1 shared papers
• Ioannis Katsounaros 1 shared papers
• Nicholas Geneva 1 shared papers
• Panagiotis Tsilifis 1 shared papers
• Paris Perdikaris 1 shared papers