Jump to talks about BAND methodology or BAND physics applications.

*Bayesian Model Averaging: applications and perspectives*

Witek Nazarewicz (MSU/FRIB)

Talk at INT program “Machine learning for nuclear theory” (INT-22-1)

March 30, 2022

*On the Horizon*

Pablo Giuliani (MSU/FRIB)

Talk at 2021 ISNET

December 14, 2021

*The Bayesian Analysis of Nuclear Dynamics (BAND) CI Framework: Coming Attractions*

Daniel Phillips (Ohio)

Talk at 2021 BAND camp

December 13, 2021

*The Bayesian Analysis of Nuclear Dynamics (BAND) Framework: An Introduction*

Daniel Phillips (Ohio)

Talk at joint BAND-JETSCAPE meeting

March 16, 2021

Jump to talks about BAND or BAND physics applications.

*A Sequential Approach to Calibration of a Computationally Intensive Model*

Özge Sürer (Northwestern)

Talk at 2022 SIAM Conference on Uncertainty Quantification

April 12-15, 2022

*Taking Shortcuts: Accelerating scientific discovery through physics-informed emulators*

Pablo Giuliani (MSU/FRIB)

Research discussion at the Facility for Rare Isotope Beams

April 07 2022

*Calibration of a Computationally Intensive Model with Parallel Computing Aspects*

Özge Sürer (Northwestern)

Talk at 2022 SIAM Conference on Parallel Processing for Scientific Computing

February 23-26, 2022

*Calibration Using Emulation of Filtered Simulation Results*

Özge Sürer (Northwestern)

Talk at 2021 Winter Simulation Conference

December 15-17, 2021

*Transfer Learning Emulation*

Dan Liyanage (OSU)

Talk at 2021 ISNET

December 14, 2021

*Bayesian Surrogate Constructions for Calibration of Expensive Simulation Model*

Moses Chan (Northwestern)

Talk at 2021 INFORMS Annual Meeting

October 24-27, 2021

*Calibration Using Emulation of Filtered Simulation Results*

Özge Sürer (Northwestern)

Talk at 2021 INFORMS Annual Meeting

October 24-27, 2021

*Transfer Learning for Emulation of Hydrodynamic Simulations*

Dan Liyanage (OSU)

Talk at 2021 Fall Meeting of the APS DNP

October 13, 2021

*Interpolating between small- and large-x expansions using Bayesian Model Mixing*

Alexandra Semposki (Ohio University)

Talk at 2021 Fall Meeting of the APS DNP

October 12, 2021

*The Ultimate Shortcut*

Pablo Giuliani (MSU/FRIB)

Nuclear Seminar at Florida State University

September 10, 2021

Jump to talks about BAND or BAND methodology.

*Artificial intelligence and machine learning in nuclear structure theory*

Witek Nazarewicz (MSU/FRIB)

Seminar at Fudan University, Shanghai, China

August 3, 2022

*Bayesian R-Matrix*

Daniel Odell (Ohio University)

Talk at 2021 ISNET

December 14, 2021

*Statistically rigorous analyses of light nuclei with chiral interactions*

Dick furnstahl (OSU)

Invite talk at Chiral Dynamics 2021 (virtual)

November 15-19, 2021

*Artificial intelligence and machine learning in nuclear structure theory*

Witold Nazarewicz (MSU/FRIB)

IAEA Virtual Meeting on Artificial Intelligence for Nuclear Technology and Applications, Vienna

October 25-29, 2021

*Improved Uncertainties Estimates with R-Matrix Theory*

Daniel Odell (Ohio University)

Virtual Seminar at Tongji University

September 16, 2021

*Improved Uncertainties Estimates with R-Matrix Theory*

Daniel Odell (Ohio University)

Virtual Seminar at the Joint Institute of Nuclear Astrophysics, University of Notre Dame

September 6, 2021

*Transfer Learning Emulation of Relativistic Heavy Ion Simulations*

Dan Liyanage (OSU)

Virtual Seminar for University of Tennessee Heavy Ion Group

August 10, 2021

*Bayesian Parameter Estimation For Relativistic Heavy Ion Collisions*

Dan Liyanage (OSU)

Workshop at 2021 JETSCAPE Summer School

July 29, 2021

*Bayesian Model Mixing: Nuclear Physics Applications*

Witek Nazarewicz (MSU/FRIB)

Invited talk at the ECT* workshop on *Advances in Many Body Theories: from First Principles Methods to Quantum Computing and Machine Learning*, Trento, Italy

November 2, 2020