Publications

23 Results
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Generating Uncertainty Distributions for Seismic Signal Onset Times

Bulletin of the Seismological Society of America

Matthew Gregor Peterson, David John Stracuzzi, Christopher J. Young, Charles Vollmer, Ronald Brogan

https://www.osti.gov/search/identifier:1781564

Journal Article – 2021 Journal Article 2021

Integrating Physics through Machine Learning Loss

Conference on Data Analysis

Charles Vollmer, James Derek Tucker, Matthew Thomas Martinez, Edward Steven Jimenez, Reese Wayne Davies, Gabriella Dalton

https://www.osti.gov/search/identifier:1767375

Conference Paper – 2020 Conference Paper 2020

Event Detection and Characterization in a Network of Subsurface Sensors

CoDA 202, Conference on Data Analysis

Charles Vollmer, David John Stracuzzi, Paul Conrad Schwering, Christian Poppeliers, Didem G. Beskardes

Abstract – 2020 Abstract 2020

Integrating Physics Knowledge in Multi-Sensor Machine Learning Models

CoDA 2020, Conference on Data Analytics

Charles Vollmer, David M. Martinez, James Derek Tucker, Edward Steven Jimenez, Reece Davies, Gabriella Dalton

Abstract – 2020 Abstract 2020

Improving Object Classifier Performance Using a Pattern of Life

Conference on Data Analysis

Stephen T. Jones, David John Stracuzzi, Charles Vollmer

https://www.osti.gov/search/identifier:1766666

Conference Paper – 2020 Conference Paper 2020

Incorporating Scientifically Informed Constraints into Machine Learning Models for Material Classification from Hyperspectral-CT Scans

SIAM Conference on Imaging Science

Matthew Thomas Martinez, James Derek Tucker, Edward Steven Jimenez, Charles Vollmer, Richard McClanahan, Reese Wayne Davies, Gabriella Dalton

Abstract – 2020 Abstract 2020

Real-time Subsurface Event Assessment and Detection (RESEAD)

Machine Learning R&D Workshop

David John Stracuzzi, Charles Vollmer, Christian Poppeliers, Gungor Didem Beskardes, Paul Conrad Schwering, Avery Ted Cashion, Bart G van Bloemen Waanders, Chester J Weiss, Edward N Matteo, Giorgia Bettin

https://www.osti.gov/search/identifier:1645887

Presentation (non-conference) – 2019 Presentation (non-conference) 2019

Event Detection and Characterization in a Network of Subsurface Sensors

American Geophysical Union (AGU) Fall Meeting 2019

Charles Vollmer, Alex Fout, Giorgia Bettin, Edward N Matteo, Paul Conrad Schwering, Christian Poppeliers, Gungor Didem Beskardes, Joseph Lee Hart, Bart G van Bloemen Waanders, Chester J Weiss, David John Stracuzzi, Avery Ted Cashion

Abstract – 2019 Abstract 2019

RESEAD Analytics

Total Oil and Gas Visit

Charles Vollmer, David John Stracuzzi, Gungor Didem Beskardes, Christian Poppeliers, Paul Conrad Schwering, Edward N Matteo

https://www.osti.gov/search/identifier:1645648

Presentation (non-conference) – 2019 Presentation (non-conference) 2019

Robust Arrival Time Uncertainty Estimation Using Gaussian Blurring

2019 Seismological Society of America Annual Meeting

Matthew Gregor Peterson, Charles Vollmer, David John Stracuzzi, Christopher J. Young

Abstract – 2019 Abstract 2019

Using Uncertainty to Understand Machine Learning Models and Decisions

Research Challenges and Opportunities at the interface of Machine Learning and Uncertainty Quantification

Maximillian Gene Chen, Michael Christopher Darling, Charles Vollmer, Matthew Gregor Peterson, David John Stracuzzi

https://www.osti.gov/search/identifier:1526113

Conference Paper – 2018 Conference Paper 2018

Bayesian Seismic Event Locator Using Circular Back Azimuth Data

Conference on Data Analysis

Charles Vollmer, Daniel Hernandez-Stumpfhauser

https://www.osti.gov/search/identifier:1497571

Conference Paper – 2018 Conference Paper 2018

Bayesian Seismic Event Locator Using Circular Back Azimuth Data

Conference on Data Analysis 2018

Charles Vollmer

Abstract – 2018 Abstract 2018

Change Point Uncertainty Quantification: First Arrival Picks for Seismic Signals

Nips WorkshopTime Series Analysis

Matthew Gregor Peterson, David John Stracuzzi, Charles Vollmer

https://www.osti.gov/search/identifier:1481487

Conference Paper – 2017 Conference Paper 2017

Using Data-Driven Uncertainty Quantification to Support Decision Making

Cis Rf Erb

David John Stracuzzi, Matthew Gregor Peterson, Charles Vollmer

https://www.osti.gov/search/identifier:1465020

Display or Poster (non-conference) – 2017 Display or Poster (non-conference) 2017

Uncertainty Quantification for Machine Learning

David John Stracuzzi, Maximillian Gene Chen, Michael Christopher Darling, Matthew Gregor Peterson, Charles Vollmer

https://www.osti.gov/search/identifier:1733262

SAND Report – 2017 SAND Report 2017

Using Data-Driven Uncertainty Quantification to Support Decision Making

Statistical Data Science Conference

Charles Vollmer, Matthew Gregor Peterson, David John Stracuzzi, Maximillian Gene Chen

https://www.osti.gov/search/identifier:1513614

Conference Paper – 2017 Conference Paper 2017

Using Data-Driven Uncertainty Quantification to Support Decision Making

Statistical Data Science Conference

Matthew Gregor Peterson, Charles Vollmer, David John Stracuzzi, Maximillian Gene Chen

https://www.osti.gov/search/identifier:1459094

Conference Paper – 2017 Conference Paper 2017

Data-Driven Uncertainty Quantification for Remote Sensing

Customer Meeting on Uncertainty

David John Stracuzzi, Maximillian Gene Chen, Michael Christopher Darling, Stephen Michael Dauphin, Matthew Gregor Peterson, Charles Vollmer

https://www.osti.gov/search/identifier:1457960

Presentation (non-conference) – 2017 Presentation (non-conference) 2017

Uncertainty of Refined Seismic Arrival Times

2017 Annual Meeting of the Seismological Society of America

Charles Vollmer, Matthew Gregor Peterson, David John Stracuzzi

https://www.osti.gov/search/identifier:1456530

Conference Paper – 2017 Conference Paper 2017

Uncertainty Analysis of an Information Theoretic Estimation of Seismic Signals

New Mexico Student Conference, CS Department

Matthew Gregor Peterson, Charles Vollmer, David John Stracuzzi

https://www.osti.gov/search/identifier:1456414

Conference Paper – 2017 Conference Paper 2017

Uncertainty Estimation of Onset Arrival Times Using Parametric Bootstrap of Auto-Regressive Time Series

Seismological Society of America Spring Meeting, 2017

Charles Vollmer, David John Stracuzzi, Matthew Gregor Peterson

Abstract – 2017 Abstract 2017

Uncertainty in Data Analytics

UNM invited talk

David John Stracuzzi, Maximillian Gene Chen, Michael Christopher Darling, Stephen Michael Dauphin, Matthew Gregor Peterson, Charles Vollmer, Christopher J. Young

https://www.osti.gov/search/identifier:1413588

Presentation (non-conference) – 2016 Presentation (non-conference) 2016
Document Title Type Year