LANS Informal Seminar: Julie Bessac
Julie Bessac, Postdoctoral Appointee, MCS, Argonne National Laboratory: Stochastic simulation of predictive space-time scenarios of wind speed using observations and physical model outputs
Julie Bessac, Postdoctoral Appointee, MCS, Argonne National Laboratory: Stochastic simulation of predictive space-time scenarios of wind speed using observations and physical model outputs
Xiang Huang, Postdoctoral Appointee, MCS, Argonne National Laboratory: 3D Reconstruction in Consumer Photographic and Biology Microscopic Scenes
Stefan Wild, Computational Mathematician, MCS, Argonne National Laboratory: Beyond the Black Box in Derivative-Free and Simulation-Based Optimization
Kamil Khan, Postdoc: Differentiable convex underestimators for global optimization
Jacopo Canton, PhD Candidate, KTH: Instability and transition in bent pipes
Chen Chen, : ENSO diversity: future change, modeling and predictability
Grace Mirsky, Assistant Professor, Benedictine University Dept of Computer Science: Machine Learning for Improved Patient Outcomes
Matthias Katzfuss, Texas A&M University: Extended ensemble Kalman filters for data assimilation in hierarchical state-space models
Various Speakers, Summer Students in LANS: LANS SASSy - Summer Argonne Students' Symposium 2016
Eric Chi, Assistant Professor, Department of Statistics, North Carolina State University: Convex Biclustering