Brian K. Spears

According to our database, Brian K. Spears authored at least 19 papers between 2005 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

AI-Augmented Facilities: Bridging Experiment and Simulation with ML (Dagstuhl Seminar 23132).

Peer-Timo Bremer, Brian K. Spears, Tom Gibbs, Michael Bussmann

Dagstuhl Reports, March, 2023

2022

Suppressing simulation bias in multi-modal data using transfer learning.

Bogdan Kustowski, Jim A. Gaffney, Brian K. Spears, Gemma J. Anderson, Rushil Anirudh, Peer-Timo Bremer, Jayaraman J. Thiagarajan, Michael K. G. Kruse, Ryan Nora

Mach. Learn. Sci. Technol., 2022

Enabling machine learning-ready HPC ensembles with Merlin.

J. Luc Peterson, Benjamin Bay, Joe Koning, Peter B. Robinson, Jessica Semler, Jeremy White, Rushil Anirudh, Kevin Athey, Peer-Timo Bremer, Francesco Di Natale, David Fox, Jim A. Gaffney, Sam Ade Jacobs, Bhavya Kailkhura, Bogdan Kustowski, Steve H. Langer, Brian K. Spears, Jayaraman J. Thiagarajan, Brian Van Essen, Jae-Seung Yeom

Future Gener. Comput. Syst., 2022

2021

Geometric Priors for Scientific Generative Models in Inertial Confinement Fusion.

Ankita Shukla, Rushil Anirudh, Eugene Kur, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears, Tammy Ma, Pavan K. Turaga

CoRR, 2021

Transfer learning suppresses simulation bias in predictive models built from sparse, multi-modal data.

Bogdan Kustowski, Jim A. Gaffney, Brian K. Spears, Gemma J. Anderson, Rushil Anirudh, Peer-Timo Bremer, Jayaraman J. Thiagarajan

CoRR, 2021

Cognitive simulation models for inertial confinement fusion: Combining simulation and experimental data.

Kelli D. Humbird, J. Luc Peterson, J. Salmonson, Brian K. Spears

CoRR, 2021

2020

Scalable Topological Data Analysis and Visualization for Evaluating Data-Driven Models in Scientific Applications.

Shusen Liu, Jim Gaffney, J. Luc Peterson, Peter B. Robinson, Harsh Bhatia, Valerio Pascucci, Brian K. Spears, Peer-Timo Bremer, Di Wang, Dan Maljovec, Rushil Anirudh, Jayaraman J. Thiagarajan, Sam Ade Jacobs, Brian C. Van Essen, David Hysom, Jae-Seung Yeom

IEEE Trans. Vis. Comput. Graph., 2020

Improved surrogates in inertial confinement fusion with manifold and cycle consistencies.

Rushil Anirudh, Jayaraman J. Thiagarajan, Peer-Timo Bremer, Brian K. Spears

Proc. Natl. Acad. Sci. USA, 2020

Meaningful uncertainties from deep neural network surrogates of large-scale numerical simulations.

Gemma J. Anderson, Jim A. Gaffney, Brian K. Spears, Peer-Timo Bremer, Rushil Anirudh, Jayaraman J. Thiagarajan

CoRR, 2020

Designing Accurate Emulators for Scientific Processes using Calibration-Driven Deep Models.

Jayaraman J. Thiagarajan, Bindya Venkatesh, Rushil Anirudh, Peer-Timo Bremer, Jim Gaffney, Gemma Anderson, Brian K. Spears

CoRR, 2020

2019

Merlin: Enabling Machine Learning-Ready HPC Ensembles.

J. Luc Peterson, Rushil Anirudh, Kevin Athey, Benjamin Bay, Peer-Timo Bremer, Vic Castillo, Francesco Di Natale, David Fox, Jim A. Gaffney, David Hysom, Sam Ade Jacobs, Bhavya Kailkhura, Joe Koning, Bogdan Kustowski, Steven H. Langer, Peter B. Robinson, Jessica Semler, Brian K. Spears, Jayaraman J. Thiagarajan, Brian Van Essen, Jae-Seung Yeom

CoRR, 2019

Exploring Generative Physics Models with Scientific Priors in Inertial Confinement Fusion.

Rushil Anirudh, Jayaraman J. Thiagarajan, Shusen Liu, Peer-Timo Bremer, Brian K. Spears

CoRR, 2019

Parallelizing Training of Deep Generative Models on Massive Scientific Datasets.

Sam Ade Jacobs, Jim Gaffney, Tom Benson, Peter B. Robinson, J. Luc Peterson, Brian K. Spears, Brian Van Essen, David Hysom, Jae-Seung Yeom, Tim Moon, Rushil Anirudh, Jayaraman J. Thiagarajan, Shusen Liu, Peer-Timo Bremer

Proceedings of the 2019 IEEE International Conference on Cluster Computing, 2019

2017

Ensemble simulations of inertial confinement fusion implosions.

Ryan Nora, Jayson Luc Peterson, Brian K. Spears, John Everett Field, Scott Brandon

Stat. Anal. Data Min., 2017

Contemporary machine learning: a guide for practitioners in the physical sciences.

Brian K. Spears

CoRR, 2017

2016

A HYDRA UQ Workflow for NIF Ignition Experiments.

Steven H. Langer, Brian K. Spears, J. Luc Peterson, John Everett Field, Ryan Nora, Scott Brandon

Proceedings of the Second Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, 2016

2015

ND²AV: N-dimensional data analysis and visualization analysis for the National Ignition Campaign.

Peer-Timo Bremer, Dan Maljovec, Avishek Saha, Bei Wang, Jim Gaffney, Brian K. Spears, Valerio Pascucci

Comput. Vis. Sci., 2015

2009

The Bold, New Extreme Programming Experiment.

Brian K. Spears

Proceedings of the 2009 Agile Conference, Chicago, IL, USA, 24-28 August 2009, 2009

2005

Topological Bifurcations of Attracting 2-Tori of Quasiperiodically Driven Oscillators.

Brian K. Spears, Michael Hutchings, Andrew J. Szeri

J. Nonlinear Sci., 2005