Reading Group Uncertainty Quantification
Sommersemester 2018
| Date | Time | Room | Moderator | Topic |
|---|---|---|---|---|
| 24.07.18 | 16:15 | 02.10.011 | Sabrina Balzer (M2) | Posterior Consistency for Gaussian Process Approximations of Bayesian Posterior Distributions |
| 10.07.18 | 16:15 | 02.10.011 | Mario Parente (M2) | Importance Sampling and Necessary Sample Size: An Information Theory Approach |
| 26.06.18 | 16:15 | 02.10.011 | Daniel Schaden (M2) | MCMC Methods for Functions: Modifying Old Algorithms to Make Them Faster |
| 12.06.18 | 16:15 | 02.10.011 | Ludger Pähler (TUM) | PDE-Net: Learning PDEs from Data |
| 29.05.18 | 16:15 | 02.10.011 | Elisabeth Ullmann (M2) | Efficient white noise sampling and coupling for multilevel Monte Carlo with non-nested meshes |
| 15.05.18 | 16:15 | 02.10.011 | Jonas Latz (M2) | Deep Learning: An Introduction for Applied Mathematicians |
| 24.04.18 | 16:15 | 02.10.011 | Steven Mattis (M2) | Combining Push-Forward Measures and Bayes' Rule to Construct Consistent Solutions to Stochastic Inverse Problems |
Wintersemester 2017/18
| Date | Time | Room | Moderator | Topic |
|---|---|---|---|---|
| 30.01.18 | 16:15 | 02.10.011 | Elisabeth Ullmann (M2) | Machine learning of differential equations using Gaussian processes (Paper 1) (Paper 2) |
| 16.01.18 | 16:15 | 02.10.011 | Jonas Latz (M2) | Statistical analysis of differential equations: introducing probability measures on numerical solutions |
| 05.12.17 | 16:15 | 02.10.011 | Steven Mattis (M2) | A Short Course on Duality, Adjoint Operators, Green’s Functions, and A Posteriori Error Analysis (§3-4) |
| 21.11.17 | 16:15 | 02.10.011 | Steven Mattis (M2) | A Short Course on Duality, Adjoint Operators, Green’s Functions, and A Posteriori Error Analysis (§1-2) |
| 07.11.17 | 16:15 | 02.10.011 | Laura Scarabosio (M2) | Finite element methods for semilinear elliptic stochastic partial differential equations |
| 24.10.17 | 16:15 | 02.10.011 | Piotr Swierczynski (M2) | An explicit link between Gaussian fields and Gaussian Markov random fields: the stochastic partial differential equation approach |
Sommersemester 2017
| Date | Time | Room | Moderator | Topic | Slides |
|---|---|---|---|---|---|
| 12.04.17 | 14:00 | 02.08.011 | Laura Scarabosio (M2) | A Fresh Look at the Kalman Filter | |
| 02.05.17 | 16:15 | 03.06.011 | Mario Parente (M2) | Ensemble Kalman methods for inverse problems | pdf, proofs |
| 16.05.17 | 16:15 | 03.06.011 | Ionut Farcas (CS) | An efficient Bayesian inference approach to inverse problems based on an adaptive sparse grid collocation method | |
| 06.06.17 | 16:15 | 03.06.011 | Jonas Latz (M2) | Analysis of the ensemble Kalman filter for inverse problems | |
| 27.06.17 | 16:15 | 03.06.011 | Elisabeth Ullmann (M2) | On the Brittleness of Bayesian Inference | |
| 11.07.17 | 16:15 | 03.06.011 | Mario Parente (M2) | Active Subspaces: Emerging Ideas for Dimension Reduction in Parameter Studies (§1-3) | |
| 25.07.17 | 16:15 | 03.06.011 | Steven Mattis (M2) | Active Subspaces: Emerging Ideas for Dimension Reduction in Parameter Studies (§4-6) | |
| 23.08.17 | 10:00 | 03.06.011 | Daniel Schaden (M2) | Optimal Model Management for Multifidelity Monte Carlo Estimation |
Wintersemester 2016/17
| Date | Time | Room | Moderator | Topic | Slides | Further Material | |
|---|---|---|---|---|---|---|---|
| 17.11.16 | 10:00 | 03.11.018 | Jonas Latz (M2) | Stuart - Uncertainty Quantification in Bayesian Inversion | Bayesian Statistics | ||
| 08.12.16 | 10:15 | 03.11.018 | Elisabeth Ullmann (M2) | Stuart(2010) - Inverse Problems: A Bayesian Perspective (§6) | |||
| 15.12.16 | 10:15 | 03.11.018 | Elisabeth Ullmann (M2) | Stuart(2010) - Inverse Problems: A Bayesian Perspective (§6) | Random fields | ||
| 19.01.17 | 10:15 | 03.11.018 | Tinsley Oden (ICES) | OPAL: the Occam Plausibility Algorithm for Bayesian Model Selection and Validation | |||
| 02.02.17 | 10:15 | 03.11.018 | Steven Mattis (M2) | Stuart(2010) - Inverse Problems: A Bayesian Perspective (§1-3) | Bayesian Inverse | ||
| 22.02.17 | 14:15 | - | Jonas Latz (M2) | Stuart(2010) - Inverse Problems: A Bayesian Perspective (§4-5) | Well-posed problems, Algorithms | GitHub Implementations | |
