LANS Informal Seminar: Sven Leyffer
Sven Leyffer, Senior Computational Mathematician, MCS/ANL: Optimization for Machine Learning
Sven Leyffer, Senior Computational Mathematician, MCS/ANL: Optimization for Machine Learning
Lulu Kang, Associate Professor, Department of Applied Mathematics, Illinois Institute of Technology
Dimension Reduction for Gaussian Process Models via Convex Combination of Kernels
Michael Servis, Postdoctoral Researcher, Washington State University: Advanced Modeling and Simulation of Solvent Extraction Systems - How Topological Data Analysis is Changing the Simulation Landscape
Hannah Morgan, Postdoctoral Appointee, MCS/ANL: The impact of noise on Krylov method performance
Prasanna Balaprakash, Computer Scientist (MCS & LCF, ANL): Scalable Reinforcement-Learning-Based Neural Architecture Search for Scientific and Engineering Applications
Partha Pratim Das, Professor, Department of Computer Science & Engineering, Indian Institute of Technology Kharagpu: SmartKT: A Search Framework to assist Program Comprehension using Smart Knowledge Transfer
Charlie Vanaret, Researcher, Fraunhofer ITWM: Solving distillation column equilibrium using interval methods
Jake Roth, Predoctoral Appointee, MCS/ANL: Cascading failures and energy landscapes for power systems
Ann Almgren, Group Lead, Center for Computational Sciences and Engineering, LBNL: AMR for Multiphysics Applications
Boyana Norris, Associate Professor, Department of Computer and Information Science, University of Oregon: Understanding and Improving the Performance of Scientific Software and its Humans