Publications

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An Adaptive Basis Perspective to Improve Initialization and Accelerate Training of DNNs

SIAM Conference on Computational Science and Engineering (CSE21)

Eric Christopher Cyr, Mamikon Gulian, Ravi Ghanshyam Patel, Mauro Perego, Nathaniel Albert Trask

https://www.osti.gov/search/identifier:1847582

Conference Presentation – 2021 Conference Presentation 2021

Model Parallelism with Spatial Decomposition of Volumetric Data for Deep Learning

SIAM Computational Science and Engineering 2021

Gary Joseph Saavedra, Eric Christopher Cyr, Jacob Schroder, Russell Hewett

https://www.osti.gov/search/identifier:1847461

Conference Presentation – 2021 Conference Presentation 2021

An Algebraic Monolithic Method for Volume-coupled Multiphysics Problems

IX International Conference on Coupled Problems in Science and Engineering

Peter Brian Ohm, Raymond S. Tuminaro, Jonathan J. Hu, John N. Shadid, Eric Christopher Cyr, Tobias Wiesner

Abstract – 2021 Abstract 2021

Towards Predictive Plasma Science and Engineering through Revolutionary Multi-Scale Algorithms and Models, Final Report

George Russell Laity, Allen C. Robinson, Michael E. Cuneo, Mary Kathleen Alam, Kristian Beckwith, Nichelle Lee Bennett, Matthew Tyler Bettencourt, Stephen D Bond, Kyle Cochrane, Louise Criscenti, Eric Christopher Cyr, Karen June De Zetter, Richard R. Drake, Evstati Georgiev Evstatiev, Andrew Steven Fierro, Thomas Anthony Gardiner, Forrest Glines, Ronald S. Goeke, Nathaniel Donald Hamlin, Russell Hooper, Jason Koski, James Matthew Doyle Lane, Steven Robert Larson, Kevin Leung, Duncan Alisdair Odum McGregor, Philip Rocco Miller, Sean Miller, Susan Jasmin Ossareh, Edward Geoffrey Phillips, Sean Simpson, David Sirajuddin, Thomas M. Smith, Matthew Scot Swan, Aidan P. Thompson, Julien Guy Tranchida, Asa Jal Bortz-Johnson, Dale Robert Welch, Alex Moore Russell, Eric Duarte Watson, David Vincent Rose, Ryan D McBride

https://www.osti.gov/search/identifier:1813907

SAND Report – 2021 SAND Report 2021

Partition of unity networks: data-driven meshfree hp-approximation

AAAI 2021 Spring Symposium on Combining Artificial Intelligence and Machine Learning with Physics Sciences

Lee Kookjin, Nathaniel Albert Trask, Ravi Ghanshyam Patel, Mamikon Gulian, Eric Christopher Cyr

https://www.osti.gov/search/identifier:1835970

Conference Paper – 2020 Conference Paper 2020

Learning continuum-scale models from micro-scale dynamics via Operator Regression

14th World Congress in Computational Mechanics

Ravi Ghanshyam Patel, Nathaniel Albert Trask, Mitchell Wood, Eric Christopher Cyr

https://www.osti.gov/search/identifier:1834283

Conference Presentation – 2020 Conference Presentation 2020

Finite Element Tools for Performance Portability of Implicit and IMEX Simulations on Next Generation Architectures

14th World Congress on Computational Mechanics (Virtual meeting)

Roger P. Pawlowski, Eric T. Phipps, Christian Robert Trott, Eric Christopher Cyr, John N. Shadid

https://www.osti.gov/search/identifier:1833498

Conference Presentation – 2020 Conference Presentation 2020

TorchBraid

Eric Christopher Cyr

Marketing or Promotional – 2020 Marketing or Promotional 2020

A Layer-Parallel Approach for Training Deep Neural Networks

George Mason University - CMAI Colloquium

Eric Christopher Cyr, Stefanie Guenther (LLNL), Lars (Emory) Ruthotto, Jacob B. Schroder (UNM), Nico R. Gauger (TU Kaiserslautern), Denis Ridzal

https://www.osti.gov/search/identifier:1812174

Presentation (non-conference) – 2020 Presentation (non-conference) 2020

Machine Learning for Accelerating Direct-Simulation Monte-Carlo Collision Operators

Sandia Machine Learning and Deep Learning Workshop

Sean Miller, Nathan V. Roberts, Eric Christopher Cyr

https://www.osti.gov/search/identifier:1811433

Conference Paper – 2020 Conference Paper 2020

Robust Training and Initialization of Deep Neural Networks An Adaptive Basis Viewpoint

Princeton MSML meeting

Eric Christopher Cyr, Mamikon Gulian, Ravi Ghanshyam Patel, Mauro Perego, Nathaniel Albert Trask

https://www.osti.gov/search/identifier:1810691

Conference Paper – 2020 Conference Paper 2020

Robust training and initialization of deep neural networks: an adaptive basis viewpoint

2020 Siam-caims An20

Mamikon Gulian, Eric Christopher Cyr, Ravi Ghanshyam Patel, Mauro Perego, Nathaniel Albert Trask

https://www.osti.gov/search/identifier:1808257

Conference Paper – 2020 Conference Paper 2020

Advancing Fusion with Machine Learning Research Needs Workshop Report

Journal of Fusion Energy

D. Humphreys, M.D. Boyer A. Kupresanin, J. Canik, C.S. Chang, Eric Christopher Cyr, R. Granetz, J. Hittinger, E. Kolemen, E. Lawrence, V. Pascucci, A. Patra, D. Schissel

https://www.osti.gov/search/identifier:1670184

Journal Article – 2020 Journal Article 2020

Layer-Parallel Training: Nested Iteration

SIAM MDS (Virtual Mini)

Eric Christopher Cyr, Stefanie (LLNL) Guenther, Lars (Emory) Ruthotto, Jacob B. (UNM) Schroder, Nico R. (TU Kaiserslautern) Gauger

https://www.osti.gov/search/identifier:1807445

Conference Paper – 2020 Conference Paper 2020

A block coordinate descent optimizer for classification problems exploiting convexity

Arxiv

Ravi Ghanshyam Patel, Nathaniel Albert Trask, Mamikon Gulian, Eric Christopher Cyr

https://www.osti.gov/search/identifier:1834091

Journal Article – 2020 Journal Article 2020

A physics-informed operator regression framework for extracting data-driven continuum models

Arxiv

Ravi Ghanshyam Patel, Nathaniel Albert Trask, Mitchell Wood, Eric Christopher Cyr

https://www.osti.gov/search/identifier:1725869

Journal Article – 2020 Journal Article 2020

A Plasma Modeling Hierarchy and Verification Approach

Richard Michael Jack Kramer, Eric Christopher Cyr, Sean Miller, Edward Geoffrey Phillips, Gregg Arthur Radtke, Allen C. Robinson, John N. Shadid

https://www.osti.gov/search/identifier:1608511

SAND Report – 2020 SAND Report 2020

Solving The Multiscale Modeling Problem Of Plasma Physics With Hetrogeneous Methods

wccm

Matthew Tyler Bettencourt, Eric Christopher Cyr, Edward Geoffrey Phillips, Kristian Beckwith, Keith Cartwright, Duncan Alisdair Odum McGregor, Sean Miller, Nathan V. Roberts, Nicholas Roberds, Roger P. Pawlowski, David Sirajuddin

Abstract – 2020 Abstract 2020

Discretization of the Multi-fluid Plasma Model using IMEX and Mixed Continuous/Discontinuous FEM

The 44th SIAM Southeastern Atlantic Section Conference

Sean Miller, Eric Christopher Cyr, Edward Geoffrey Phillips, Roger P. Pawlowski, Kristian Beckwith, Matthew Tyler Bettencourt, Keith Cartwright, Sidney Shields

https://www.osti.gov/search/identifier:1770844

Conference Paper – 2020 Conference Paper 2020

A Layer-Parallel Approach for Training Deep Neural Networks

SIAM Parallel Processing

Eric Christopher Cyr, Stefanie Guenther (LLNL), Lars Ruthotto (Emory), Jacob B. Schroder (UNM), Nico R. Gauger (TU Kaiserslautern)

https://www.osti.gov/search/identifier:1766945

Conference Paper – 2020 Conference Paper 2020

Discretization of the Multi-fluid Plasma Model using IMEX and Mixed Continuous/Discontinuous FEM

The 44th SIAM Southeastern Atlantic Section Conference

Sean Miller, Eric Christopher Cyr, Edward Geoffrey Phillips, Roger P. Pawlowski, Kristian Beckwith, Matthew Tyler Bettencourt, Keith Cartwright, Sidney Shields

Abstract – 2020 Abstract 2020

Enabling 5G Distributed Scientific Data Analysis through Hierarchical Architectures and Algorithms

5G Enabled Energy Innovation Workshop (5GEEIW)

Eric Christopher Cyr

https://www.osti.gov/search/identifier:1765641

Conference Paper – 2020 Conference Paper 2020

Discretization of the Multi-fluid Plasma Model using IMEX and Mixed Continuous/Discontinuous FEM

16th Copper Mountain Conference On Iterative Methods

Sean Miller, Eric Christopher Cyr, Edward Geoffrey Phillips

Abstract – 2020 Abstract 2020

Power-flow Simulation Enabled By Numerical Methods For Multi-scale Relativistic Plasmas

International Conference on Computational Methods for Coupled Problems in Science and Engineering (WCCM XIV and ECCOMAS2020)

Kristian Beckwith, Thomas Anthony Gardiner, Matthew Tyler Bettencourt, Forrest Glines, Keith Cartwright, Eric Christopher Cyr, Sean Miller, Edward Geoffrey Phillips, Nathan V. Roberts, Roger P. Pawlowski, David Sirajuddin

Abstract – 2020 Abstract 2020

Improved Neural Network Training: Layer-Parallelism, Least-squares and Initialization

International Workshop On Scientific Machine Learning

Eric Christopher Cyr, Mamikon Gulian, Ravi Ghanshyam Patel, Mauro Perego, Nathaniel Albert Trask, Denis Ridzal, Stefanie Guenther (LLNL), Lars Ruthotto (Emory), Jacob B. Schroder (UNM), Nico R. Gauger (TU Kaiserslautern)

https://www.osti.gov/search/identifier:1643364

Conference Paper – 2019 Conference Paper 2019
Document Title Type Year
Results 26–50 of 243