Lawrence Livermore National Laboratory



The seminar series consists of talks given by staff and guest speakers covering topics including statistics, machine learning, and computer vision. For more information about the talks, please refer to the individual pages on this wiki, or contact Vera Bulaevskaya.






Upcoming and Past Speakers

July 13, 2017
Beau Dabbs
Applied Statistics Group, Computational Engineering Division

A Dynamic Stochastic Block Model for Anomaly Detection in Network Data
June 15, 2017
Grant Boquet
Applied Statistics Group, Computational Engineering Division, LLNL

Initializing Iterative Parameter Estimation with Unsupervised Machine Learning
May 25, 2017
Professor Sudipto Banerjee
Department of Biostatistics, UC Los Angeles

High-Dimensional Bayesian Geostatistics
May 4, 2017
Michael Mayhew
Machine Learning Group, Computational Engineering Division, LLNL

Agent-Based Model Calibration via Bayesian Inference of Molecular Interaction Networks
April 5, 2017
Professor Hao Chen
Department of Statistics, UC Davis

Change­-Point Detection for Locally Dependent Data
Department of Statistics, UC Davis

Predicting Return Quantity for a Fashion Distributor via Gradient Boosting and Ensemble Learning
March 8, 2017
Professor John Kornak
Department of Epidemiology and Biostatistics, UCSF School of Medicine

Bayesian Image Analysis in Fourier Space
February 16, 2017
Mark Risser
Lawrence Berkeley Laboratory

Bayesian Modeling and Decision-Theoretic Multiple Testing for Quantifying Human Influence on Extreme Weather Using Global Climate Models
January 26, 2017
Professor David Higdon
Department of Statistics, Social Decision and Analytics Laboratory, Virginia Tech University

Connecting Model-Based Predictions to Reality
December 8, 2016
David Widemann
Machine Learning Group, Computational Engineering Division, LLNL

Convolutional and Recurrent Neural Networks for Author Attribution and Other Text Classification Tasks
November 17, 2016
Cory Lanker
Applied Statistics Group, Computational Engineering Division, LLNL

Better Detection of Solids in Hyperspectral Images Using Spectral Features
October 27, 2016
Brenton Blair
Applied Statistics Group, Computational Engineering Division, LLNL

Gaussian Mixture Models as Automated Particle Classifiers for Fast Neutron Detectors
September 13, 2016
Professor Max Morris
Department of Statistics, Iowa State University

Sensitivity Analysis for Computer Models with Functional Inputs
August 11, 2016
Professor Paul Constantine
Department of Applied Mathematics and Statistics, Colorado School of Mines

Active subspaces: Emerging Ideas for Dimension Reduction in Parameter Studies
July 21st, 2016
Braden Soper
Global Security-Computing Applications Division, Computation Directorate, LLNL

A Mixture Hidden Markov Model for Population-Level Cancer Screening Data
June 9th, 2016
Michael Grosskopf
Department of Statistics, Simon Fraser University

Model Calibration Toward Hierarchical Validation in Radiation Transport Experiments
May 19th, 2016
Professor Athanasios Kottas
Department of Applied Mathematics and Statistics, UC Santa Cruz

Bayesian Nonparametric Conditional Regression: Methods and Applications
April 25th, 2016
Aaditya Ramdas
Departments of EECS and Statistics, UC Berkeley

The P-Filter: Multilayer FDR Control for Grouped Hypotheses
March 24, 2016
Goran Konjevod
Computer Vision Group, Computational Engineering Division, LLNL

Detecting Change in Graph Structure
February 25th, 2016
Milton Smith
Passive Remote Sensing Group, Global Security Directorate, LLNL

Hyperspectral Exploitation of Solid Materials: A Misuse of Statistics and Physics
February 4th, 2016
Alan Kaplan
Computer Vision Group, Computational Engineering Division, LLNL

Language Models and Semantic Embedding of Words
December 16th, 2015
Timo Bremer
Data Analysis Group, Computation Directorate, LLNL

Data Science for Analysis, Exploration, and Visualization of High-Dimensional Data
November 19th, 2015
Kofi Boakye
Computer Vision Group, Computational Engineering Division, LLNL

Automated Object Analysis in Overhead Imagery
October 29th, 2015
Francisco Beltran
Applied Statistics Group, Computational Engineering Directorate, LLNL

Effects of Volcanic Aerosols on Temperature of the Lower Troposphere
ASG 2015 Summer Students
September 10th, 2015
Devin Francom
Department of Applied Mathematics and Statistics, UC Santa Cruz

Using Bayesian MARS for Computer Model Emulation and Sensitivity Analysis
Matt Heiner
Department of Applied Mathematics and Statistics, UC Santa Cruz

Characterizing Natural Climate Variability of Mean Global Temperature in CMIP-5 Models
Mickey Warner
Department of Applied Mathematics and Statistics, UC Santa Cruz

Calibration of Material Strength Models
August 20th, 2015
Shawn Higbee
Geospatial Image Analysis Group, Computational Engineering Division, LLNL

A Practical Strategy for Spectral Library Partitioning and Least-Squares Identification
Winners of the Applied Statistics Group JSM Student Travel Award for 2015
July 17th, 2015
Adam Bloniarz
Department of Statistics, UC Berkeley

Distributed Random Forests

Tony Pourmohamad
Department of Applied Mathematics and Statistics, UC Santa Cruz

Multivariate Stochastic Process Models for Joint Regression and Classification
May 28, 2015
Eric Wang
Knowledge Systems and Informatics Group, Computational Engineering Division, LLNL

ROPE: Recoverable Order-Preserving Embedding of Natural Language
April 30, 2015
Kristin Lennox
Applied Statistics Group, Computational Engineering Division, LLNL

Everything Wrong with Statistics
March 26, 2015
Ron Wurtz
Rare Events Detection Group, Physical and Life Sciences Directorate, LLNL

A Sixty-Year Project to Build a Classifier
February 26, 2015
Kenny Chowdhary and Bert Debusschere
Sandia National Laboratory

Uncertainty Quantification for Climate Modeling: Efficient Sampling, Sensitivity Analysis and Model Reduction Algorithms
Sandia National Laboratory

Uncertainty Quantification for Climate Modeling: Efficient Sampling, Sensitivity Analysis and Model Reduction Algorithms
December 4, 2014
Hao Ji
Department of Statistics, UC Davis

Optimal Designs for Longitudinal Studies via Functional Data Analysis
November 13, 20146
Professor Shane Reese
Department of Statistics, Brigham Young University

Statistical Emulation of Materials Science Computer Experiments
October 23, 2014
Michael Schneider
Optical Sciences Group, Physical and Life Sciences Directorate, LLNL

Gravitational Lensing of Galaxies with a Hierarchical Dirichlet Process Prior
September 25, 2014
Nicolas Schunck
Nuclear Theory and Modeling Group, Physical and Life Sciences Directorate, LLNL

Quantifying Uncertainties of Nuclear Structure Models
August 27, 2014
Devin Francom
Department of Applied Mathematics and Statistics, UC Santa Cruz

Sensitivity Analysis Applied to Functional Model Outputs
April 29, 2014
Brody Huval
Department of Computer Science, Stanford University

Autonomous Driving Research at Stanford via Deep Learning
April 1, 2014
Ya Ju (Yaru) Fan
Center for Applied Scientific Computing, Computation Directorate, LLNL

Motifs in Wind Energy Generation Time Series Data
February 14, 2014
Professor Bruno Sansó
Department of Applied Mathematics and Statistics, UC Santa Cruz

Observation‐Based Blended Projections from Ensembles of Regional Climate Models
November 21, 2013
Professor Derek Bingham
Department of Statistics, Simon Fraser University

Model Calibration and Tuning for Multi-Fidelity Computational Models