LANS Informal Seminar: Amanda Lenzi
Amanda Lenzi, Postdoctoral Appointee, MCS/ANL: Improving Bayesian Local Spatial Models in Large Data Set
Amanda Lenzi, Postdoctoral Appointee, MCS/ANL: Improving Bayesian Local Spatial Models in Large Data Set
Hong Zhang, Assistant Computational Mathematician, MCS/ANL: Numerical Stability of Interface Conditions for Ocean-Atmosphere Coupling
Paul Manns, Reserach Aide Technical, MCS/ANL
Approximation Techniques for Mixed-Integer PDE-Constrained Optimization
Oana Marin, Applied Mathematics Specialist, MCS/ANL
Adjoints in Boundary Integrals Constrained Optimization
Elise Jennings, Computer Scientist, LCF/ANL
Scientific Deep Learning: Reproducibility, Interpretability and Uncertainty Quantification
Sven Leyffer, Senior Computational Mathematician, MCS/ANL
Mixed-Integer PDE-Constrained Optimization
Kary Myers, Deputy Group Leader, CCS-6 Statistical Sciences Group, LANL
Partitioning a Large Simulation as it Runs
Johann Rudi, Argonne Scholar, MCS/ANL
Inference of Uncertain Parameters in Physical Models Governed by PDEs with Application to Earth’s Mantle Convection
Vivak Patel, Assistant Professor, Department of Statistics, University of Wisconsin – Madison
Practical Random Sketching
Alp Dener, Postdoctoral Appointee, MCS/ANL
Investigating Quasi-Newton Outer Product Representations on GPUs