LANS Informal Seminar: Elise Jennings
Elise Jennings, Computer Scientist, LCF/ANL
Scientific Deep Learning: Reproducibility, Interpretability and Uncertainty Quantification
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
Barry Smith, Senior Computational Mathematician, MCS/ANL
GPUs, Why They Are So Important and Why Everyone Hates Them
Matthew Otten, Maria Goeppert Mayer Fellowship – Argonne Scholar, NST/ANL
Quantum Machine Learning Using Kernels
Romit Maulik, Argonne Scholar, LCF/ANL
Machine Learned Reduced-Order Models for Advective Partial Differential Equations
Scott Dawson, Assistant Professor, Mechanical, Materials and Aerospace Engineering Department, Illinois Institute of Technology
Accurate and Efficient Methods for Reduced-Complexity Modeling in Fluid Mechanics