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Publication	Type	Year
Learning to Parameterize a Stochastic Processing Using Neuromorphic Data Generation International Conference on Neuromorphic Systems William Mark Severa, John Darby Smith, Richard B. Lehoucq, James Bradley Aimone	Conference Presentation – 2022 Conference Presentation	2022
Learning to Parameterize a Stochastic Process Using Neuromorphic Data Generation International Conference on Neuromorphic Systems William Mark Severa, John Darby Smith, Richard B. Lehoucq, James Bradley Aimone	Conference Paper – 2022 Conference Paper	2022
Particle approach to inverse problems via gradient-based optimization CIS Research Foundation External Review Stephen D Bond, Brian C. Franke, Richard B. Lehoucq, Aaron Jeffrey Olson, John Darby Smith, Scott McKinley, Petr Plechac	Display or Poster (non-conference) – 2022 Display or Poster (non-conference)	2022
Zero-Truncated Poisson Regression for Multiway Count Data Conference on Random Matrix Theory and Numerical Linear Algebra Oscar Lopez, Daniel Dunlavy, Richard B. Lehoucq	Conference Poster – 2022 Conference Poster	2022
Low-Rank Tensor Decompositions for Large Sparse Count Data 8th European Seminar on Computing (ESCO 2022) - ONLINE Daniel Dunlavy, Richard B. Lehoucq, Oscar Lopez	Conference Presentation – 2022 Conference Presentation	2022
Updates on Monte Carlo transport uncertainty quantification and sensitivity analysis methods at SNL CEMeNT PSAAP Center TST Meeting Aaron Jeffrey Olson, Gianluca Geraci, Richard B. Lehoucq	Presentation (non-conference) – 2022 Presentation (non-conference)	2022
Sensitivity Analyses for Monte Carlo transport TSAAP/TST CEMeNT meeting Richard B. Lehoucq	Presentation (non-conference) – 2022 Presentation (non-conference)	2022
Neuromorphic scaling advantages for energy-efficient random walk computations Nature Electronics John Darby Smith, Aaron Jamison Hill, Reeder Leah, Brian C. Franke, Richard B. Lehoucq, Ojas D. Parekh, William Mark Severa, James Bradley Aimone https://www.osti.gov/search/identifier:1845387	Journal Article – 2022 Journal Article	2022
Zero-Truncated Poisson Tensor Decomposition for Sparse Count Data Oscar Lopez, Richard B. Lehoucq, Daniel Dunlavy https://www.osti.gov/search/identifier:1841834	Report – 2022 Report	2022
Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling International Conference on Rebooting Computing John Darby Smith, Richard B. Lehoucq, James Bradley Aimone, William Mark Severa	Conference Paper – 2021 Conference Paper	2021
Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling International Conference on Rebooting Computing John Darby Smith, James Bradley Aimone, William Mark Severa, Richard B. Lehoucq	Conference Presentation – 2021 Conference Presentation	2021
Developing a Graph Analytics Code : An Analysis of the Chapel Programming Environment CHIUWChapel Implementers and Users Workshop Richard Frederick Barrett, Omar Raad Aaziz, Jeanine Cook, Richard B. Lehoucq, Stephen Lecler Olivier, Courtenay T. Vaughan	Conference Presentation – 2021 Conference Presentation	2021
Learning to Solve an Inverse Problem Using Neuromorphic Data Generation Smoky Mountains Conference John Darby Smith, William Mark Severa, Richard B. Lehoucq, James Bradley Aimone	Abstract – 2021 Abstract	2021
Neuromorphic scaling advantages for energy-efficient random walk computations John Darby Smith, Aaron Jamison Hill, Leah Reeder, Brian C. Franke, Richard B. Lehoucq, Ojas D. Parekh, William Mark Severa, James Bradley Aimone https://www.osti.gov/search/identifier:1671377	SAND Report – 2020 SAND Report	2020
Particle Sensitivity Analysis Richard B. Lehoucq, Brian C. Franke, Stephen D Bond, Scott McKinley https://www.osti.gov/search/identifier:1669202	SAND Report – 2020 SAND Report	2020
Solving a steady-state pde using spiking networks and neuromorphic hardware International Conference on Neuromorphic Systems John Darby Smith, William Mark Severa, Aaron Jamison Hill, Leah Reeder, Ojas D. Parekh, Brian C. Franke, Richard B. Lehoucq, James Bradley Aimone https://www.osti.gov/search/identifier:1813714	Conference Paper – 2020 Conference Paper	2020
Solving a steady-state pde using spiking networks and neuromorphic hardware International Conference on Neuromorphic Systems John Darby Smith, William Mark Severa, Aaron Jamison Hill, Leah Evelyn Reeder, Brian C. Franke, Richard B. Lehoucq, Ojas D. Parekh, James Bradley Aimone https://www.osti.gov/search/identifier:1808426	Conference Paper – 2020 Conference Paper	2020
Sensitivity analysis for Monte Carlo simulations of integro-partial differential equations Coda2020 Stephen D Bond, Brian C. Franke, Richard B. Lehoucq, John Darby Smith https://www.osti.gov/search/identifier:1765803	Conference Paper – 2020 Conference Paper	2020
Sensitivity analysis for Monte Carlo simulations of integro-partial differential equations CoDA 2020 Richard B. Lehoucq, Brian C. Franke, Shannon Bond, John Darby Smith https://www.osti.gov/search/identifier:1764792	Conference Paper – 2020 Conference Paper	2020
Solving IPDEs on Spiking Neuromorphic Hardware Joint Math Meetings John Darby Smith, James Bradley Aimone, Brian C. Franke, Aaron Jamison Hill, Richard B. Lehoucq, Ojas D. Parekh, Leah Evelyn Reeder, William Mark Severa https://www.osti.gov/search/identifier:1761032	Conference Paper – 2020 Conference Paper	2020
LDRD Final Report: Fast and Robust Linear Solvers based on Hierarchical Matrices Erik Gunnar Boman, Eric Darve, Richard B. Lehoucq, Sivasankaran Rajamanickam, Raymond S. Tuminaro, Ichitaro Yamazaki https://www.osti.gov/search/identifier:1574609	Report – 2019 Report	2019
Developing and evaluating Malliavin estimators for intrusive sensitivity analysis of Monte Carlo radiation transport Stephen D Bond, Brian C. Franke, Richard B. Lehoucq, John Darby Smith https://www.osti.gov/search/identifier:1568989	Report – 2019 Report	2019
An SDE Representation of Particle Transport for Low Power Implementation Joint Math Meetings John Darby Smith, Richard B. Lehoucq	Abstract – 2019 Abstract	2019
Subspace projection methods and random linear algebra Shell Lecture Rice University Richard B. Lehoucq https://www.osti.gov/search/identifier:1644501	Presentation (non-conference) – 2019 Presentation (non-conference)	2019
Complex fracture nucleation and evolution with nonlocal elastodynamics Journal of Peridynamics and Nonlocal Modeling Richard B. Lehoucq, Robert Lipton, Prashant Jha https://www.osti.gov/search/identifier:1529304	Journal Article – 2018 Journal Article	2018
Document Title	Type	Year

Results 1–25 of 155

Publications

Learning to Parameterize a Stochastic Processing Using Neuromorphic Data Generation

Learning to Parameterize a Stochastic Process Using Neuromorphic Data Generation

Particle approach to inverse problems via gradient-based optimization

Zero-Truncated Poisson Regression for Multiway Count Data

Low-Rank Tensor Decompositions for Large Sparse Count Data

Updates on Monte Carlo transport uncertainty quantification and sensitivity analysis methods at SNL

Sensitivity Analyses for Monte Carlo transport

Neuromorphic scaling advantages for energy-efficient random walk computations

Zero-Truncated Poisson Tensor Decomposition for Sparse Count Data

Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling

Assessing a Neuromorphic Platform for use in Scientific Stochastic Sampling

Developing a Graph Analytics Code : An Analysis of the Chapel Programming Environment

Learning to Solve an Inverse Problem Using Neuromorphic Data Generation

Neuromorphic scaling advantages for energy-efficient random walk computations

Particle Sensitivity Analysis

Solving a steady-state pde using spiking networks and neuromorphic hardware

Solving a steady-state pde using spiking networks and neuromorphic hardware

Sensitivity analysis for Monte Carlo simulations of integro-partial differential equations

Sensitivity analysis for Monte Carlo simulations of integro-partial differential equations

Solving IPDEs on Spiking Neuromorphic Hardware

LDRD Final Report: Fast and Robust Linear Solvers based on Hierarchical Matrices

Developing and evaluating Malliavin estimators for intrusive sensitivity analysis of Monte Carlo radiation transport

An SDE Representation of Particle Transport for Low Power Implementation

Subspace projection methods and random linear algebra

Complex fracture nucleation and evolution with nonlocal elastodynamics