LANS Informal Seminar: Siddharth Maddali Vivekanand
Siddharth Maddali Vivekanand, Postdoctoral Appointee, MSD/ANL: Inverse problems in new X-ray imaging techniques: Tools, algorithms and future prospects
Siddharth Maddali Vivekanand, Postdoctoral Appointee, MSD/ANL: Inverse problems in new X-ray imaging techniques: Tools, algorithms and future prospects
Matthew Knepley, Associate Professor, Department of Computer Science and Engineering, University at Buffalo: Exploiting Lipschitz Continuity for the Kolmogorov Superposition Theorem
Anna Thuenen, Research Assistant, Institute for Geometry and Practical Mathematics, RWTH Aachen University: Solving Multi-Leader-Follower Games by Smoothing the Follower's Best Response
David Bindel, Associate Professor of Computer Science, Cornell University: Understanding graphs through spectral densities
Kamil Khan, Assistant Professor, Department of Chemical Engineering, McMaster University: Advances in bounding methods for use in global optimization
Mladen Kolar, Associate Professor of Econometrics and Statistics, University of Chicago Booth School of Business: Estimation and Inference for Differential Networks
Kevin Gimpel, Assistant Professor, Toyota Technological Institute at Chicago: From Paraphrase Modeling to Controlled Generation
Veronika Rockova, Assistant Professor of Econometrics and Statistics, University of Chicago Booth School of Business: Theory for BART
Daniele Schiavazzi, Assistant Professor, Department of Applied and Computational Mathematics and Statistics, Notre Dame: Quantifying the uncertainty in cardiovascular digital twins through model reduction, Bayesian inference and propagation using model ensembles.
Sven Leyffer, Senior Computational Mathematician, MCS/ANL: Optimization for Machine Learning