Information and Statistics for Nuclear Experiment and Theory workshop (ISNET-9)

Session

ISNET

23 May 2023, 08:45

Crow 201 (Washington University in St. Louis)

Conveners

ISNET: Statistical methods for optimization, Bayesian inference, and uncertainty quantification

• There are no conveners in this block

ISNET: Statistical methods for optimization, Bayesian inference, and uncertainty quantification

• There are no conveners in this block

ISNET: Statistical methods for optimization, Bayesian inference, and uncertainty quantification

• There are no conveners in this block

ISNET: Statistical methods for optimization, Bayesian inference, and uncertainty quantification

• There are no conveners in this block

ISNET: Symposium in Honor of John Clark: Different Aspects of Machine Learning

• There are no conveners in this block

ISNET: Symposium in Honor of John Clark: Different Aspects of Machine Learning

• There are no conveners in this block

ISNET: Symposium in Honor of John Clark: Different Aspects of Machine Learning

• There are no conveners in this block

ISNET: Symposium in Honor of John Clark: Different Aspects of Machine Learning

• There are no conveners in this block

ISNET: Emulators and Resampling Techniques

• There are no conveners in this block

ISNET: Emulators and Resampling Techniques

• There are no conveners in this block

ISNET: Emulators and Resampling Techniques

• There are no conveners in this block

ISNET: Emulators and Resampling Techniques

• There are no conveners in this block

ISNET: Advanced Statistics Techniques for Analyzing Experimental Data and for Accelerator design

• There are no conveners in this block

ISNET: Advanced Statistics Techniques for Analyzing Experimental Data and for Accelerator design

• There are no conveners in this block

ISNET: Welcome

• Brad Jolliff (Washington University)

Presentation materials

ISNET_Welcome_5-23-23 (1).pdf

ISNET_Welcome_5-23-23 (1).pptx

8. Recent tools and developments in Bayesian statistics

Yuling Yao (Flatiron Institute)

23/05/2023, 09:00

9. A statistical exploration of CEMP star classification with s-process models

Andrés Yagüe López (Los Alamos National Lab)

23/05/2023, 09:30

10. Global fits and Bayesian inference in "Beyond the Standard Model" physics (virtual)

Anders Kvellestad (University of Oslo)

23/05/2023, 10:00

14. Applications of novel chiral interactions to quantum Monte Carlo methods and astrophysical data analysis

Rahul Somasundaram (Syracuse University)

23/05/2023, 11:00

30. Sequential Bayesian experimental design for calibration of expensive physics models

Ozge Sürer

23/05/2023, 11:30

11. History matching for nuclear ab initio calculations

Christian Forssén (Durham University)

23/05/2023, 12:00

13. Bayesian probability updates using sampling/importance resampling: applications in nuclear theory

Weiguang Jiang (Chalmers University)

23/05/2023, 13:30

42. Hamiltonian Monte Carlo computation in spatial statistics

Debashis Mondal (WashU)

23/05/2023, 14:00

38. Bayesian model calibration for nuclear decays with the Skyrme finite-amplitude method

Tong Li (LLNL)

23/05/2023, 14:30

12. Accounting for material and experimental variability using a random effects Bayesian inferential framework

Denielle Ricciardi (Sandia National Laboratories)

23/05/2023, 15:30

39. Short talk: Bayesian calibration of viscous anisotropic hydrodynamic simulations of heavy-ion collisions

Dananjaya Liyanage

23/05/2023, 16:00

40. Short Talk: How Uncertain Am I? Theoretical errors in Bayesian model calibration for EFTs

Jason Bub

23/05/2023, 16:15

61. Prof. John W. Clark

Henric Krawczynski

24/05/2023, 08:55

15. John Clark: Physicist at the computational frontier (virtual)

Henrik Bohr

24/05/2023, 09:00

16. Machine learning for nuclear physics

Witek Nazarewicz (MSU/FRIB)

24/05/2023, 09:45

60. Machine learning of nuclear properties
: a brief tribute to Prof. John Walter Clark (recording)

Eirene Mavrommatis

24/05/2023, 11:00

47. Surrogate models of nuclear density functional theory with gaussian processes and autoencoders

Marc Verriere

24/05/2023, 11:15

45. Machine learning for heavy-ion accelerators (virtual)

Yue Hao (Michigan State University)

24/05/2023, 11:45

17. Nuclear masses learned from a probabilistic neural network

Amy Lovell (Los Alamos National Lab)

24/05/2023, 13:15

18. Machine learning for the many-body problem

Alessandro Lovato (Argonne National laboratory)

24/05/2023, 13:45

19. Mapping out the thermodynamic stability of a QCD EOS with a critical point using active learning

Debora Mroczek (University of Illinois)

24/05/2023, 14:15

46. Predicting nuclear masses with product-unit networks (virtual)

Babette Dellen

24/05/2023, 15:15

25. Machine learning for Deeply Virtual Compton Scattering (virtual)

Manal Almaeen

24/05/2023, 15:45

23. Short Talk: Deep learning pairing correlations from neural-network quantum states

Jane Kim

24/05/2023, 16:15

26. Overview of emulators for nuclear physics

Dick Furnstahl

25/05/2023, 09:00

34. Known Boundary Emulation (virtual)

Ian Vernon

25/05/2023, 09:30

28. Gaussian process regression constrained by boundary value problems

Mamikon Gulian (Sandia National Laboratories)

25/05/2023, 10:00

29. Multi-output gaussian processes for inverse uncertainty quantification in neutron noise analysis (virtual)

Paul Lartaud

25/05/2023, 11:00

27. Quantification for a covariant energy density functional emulated by the reduced basis method

Pablo Giuliani (Michigan State University)

25/05/2023, 11:30

44. Hamiltonian Monte Carlo & eigenvector continuation for ab initio nuclear physics

Andreas Ekström (Chalmers University of Technology)

25/05/2023, 12:00

31. Eigenvector continuation emulators for the ab initio symmetry-adapted framework

Kevin Becker

25/05/2023, 13:30

32. Bootstrap for multivariate time series and gravitational wave detection

Soumen Lahiri (Washington University)

25/05/2023, 14:00

33. Data integration using constrained Gaussian process models with applications to nuclear physics

Shuang Zhou (Arizona State University)

25/05/2023, 14:30

35. Short Talk: Potential energy surface emulation and impact on fission trajectories

Daniel Lay

25/05/2023, 15:30

36. Short Talk: Ex fissio ad astra: extending optical models to the fission fragment region

Kyle Beyer

25/05/2023, 15:45

37. Short Talk: Reduced Basis Methods and Scattering

Daniel Odell

25/05/2023, 16:00

3. AI/ML+data science tools for detector design at the Electron Ion Collider (virtual)

Cristiano Fanelli (William & Mary)

26/05/2023, 09:00

4. Excavating insights from sparse data with statistics and machine learning

Kyle Godbey

26/05/2023, 09:30

5. Gaussian processes for autonomous data acquisition at large-scale synchrotron and neutron facilities

Marcus Noack (Lawrence Berkeley National Laboratory)

26/05/2023, 10:00

6. Deep learning techniques in ground-based imaging gamma-ray observatories (virtual)

Daniel Nieto (Madrid University)

26/05/2023, 11:00

24. Short Talk

Yehu Chen

7. TDB

20. TDB

21. TDB

22. TDB

41. TDB

43. TDB