Recordings

The ESI regularly publishes recordings of talks and events to increase the reach of the institute's activities. Most of these recordings are published on the ESI YouTube channel.

ESI Youtube Channel

Recent Recordings

Preview of Qin Li - Mean field theory in Inverse Problems: from Bayesian inference to overparameterization of networks
Qin Li (U of Wisconsin-Madison): Mean field theory in Inverse Problems: from Bayesian inference to overparameterization of networks
May 16, 2022 15:15 — 16:00
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Preview of Juan Pablo Madrigal Cianci - Generalized Parallel Tempering for Bayesian Inverse Problems
Juan Pablo Madrigal Cianci (EPFL Lausanne): Generalized Parallel Tempering for Bayesian Inverse Problems
May 16, 2022 11:45 — 12:30
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Preview of Viet-Ha Hoang - Bayesian inversion of log-normal eikonal equation
Viet-Ha Hoang (NTU): Bayesian inversion of log-normal eikonal equation
May 16, 2022 09:15 — 10:00
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Preview of Lorenzo Tamellini - Multi-Index Stochastic Collocation for forward UQ of single- and multi-disciplinary systems
Lorenzo Tamellini (CNR-IMATI, Pavia): Multi-Index Stochastic Collocation for forward UQ of single- and multi-disciplinary systems
May 13, 2022 11:40 — 12:30
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Preview of Gitta Kutyniok - The Impact of Artificial Intelligence on Parametric Partial Differential Equations
Gitta Kutyniok (LMU Munich): The Impact of Artificial Intelligence on Parametric Partial Differential Equations
May 13, 2022 10:50 — 11:40
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Preview of Davide Pradovera - Surrogate modeling of parametric frequency response problems via locally adaptive sparse grids
Davide Pradovera (U Vienna): Surrogate modeling of parametric frequency response problems via locally adaptive sparse grids
May 12, 2022 16:00 — 16:50
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Preview of Holger Rauhut - The implicit bias of gradient descent for learning deep neural networks
Holger Rauhut (RWTH Aachen): The implicit bias of gradient descent for learning deep neural networks
May 12, 2022 14:10 — 15:00
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Preview of Helmut Harbrecht - Efficient discretization techniques of shape uncertainty problems
Helmut Harbrecht (University of Basel): Efficient discretization techniques of shape uncertainty problems
May 12, 2022 11:20 — 12:10
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Preview of Oliver Ernst - Wasserstein Sensitivity of Risk and Uncertainty Propagation
Oliver Ernst (TU Chemnitz): Wasserstein Sensitivity of Risk and Uncertainty Propagation
May 11, 2022 15:20 — 16:10
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Preview of Alex Bespalov - Multilevel and goal-oriented adaptivity for stochastic Galerkin FEM
Alex Bespalov (U. of Birmingham): Multilevel and goal-oriented adaptivity for stochastic Galerkin FEM
May 11, 2022 09:40 — 10:30
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Preview of Nicholas Dexter - n Fraser U, Vancouver) Efficient algorithms for computing near-best polynomial approximations to high-dimensional, Hilbert-valued functions from limited samples
Nicholas Dexter (Simon Fraser U, Vancouver): Efficient algorithms for computing near-best polynomial approximations to high-dimensional, Hilbert-valued functions from limited samples
May 10, 2022 16:00 — 16:50
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Preview of Matthieu Dolbeault - A sharp upper bound for sampling numbers in L_2
Matthieu Dolbeault (Sorbonne U, Paris): A sharp upper bound for sampling numbers in L_2
May 10, 2022 13:50 — 14:40
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Preview of Gianluigi Rozza - Stabilized Reduced Order Methods for Transport Control Problems with Random Inputs
Gianluigi Rozza (SISSA, Trieste): Stabilized Reduced Order Methods for Transport Control Problems with Random Inputs
May 10, 2022 11:20 — 12:10
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Preview of Eva Vidlickova - Variational Formulation and Stability Properties of a Projector-Splitting Scheme for Dynamical Low Rank Approximation of Random Parabolic Equations
Eva Vidlickova (EPFL Lausanne): Variational Formulation and Stability Properties of a Projector-Splitting Scheme for Dynamical Low Rank Approximation of Random Parabolic Equations
May 10, 2022 10:30 — 11:20
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Preview of Robert Scheichl - Group Presentation: Theme K "Beyond Plain-Vanilla MLMC & MIMC"
Robert Scheichl (U Heidelberg): Theme K "Beyond Plain-Vanilla MLMC & MIMC"
May 6, 2022 11:15 — 11:45
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Preview of Niklas Baumgarten & Linus Seelinger - Group Presentation: Theme I "Software Benchmarking and Method Comparison"
Niklas Baumgarten (KIT, Karlsruhe), Linus Seelinger (U Heidelberg): Theme I "Software Benchmarking and Method Comparison"
May 6, 2022 11:00 — 11:15
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Preview of Abdul-Lateef Haji-Ali - Group Presentation: Theme G "Extensions of Multilevel Delayed Acceptance"
Abdul-Lateef Haji-Ali (Heriot-Watt U, Edinburgh): Theme G "Extensions of Multilevel Delayed Acceptance"
May 6, 2022 10:15 — 10:30
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Preview of Andreas Stein - Group Presentation: Theme F "Beyond Gaussian Priors & Gaussian Random Fields"
Andreas Stein (ETH Zurich): Theme F "Beyond Gaussian Priors & Gaussian Random Fields"
May 6, 2022 10:00 — 10:15
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Preview of Håkon Hoel - Group Presentation: Theme C "Multilevel & Multifidelity for SPDEs"
Håkon Hoel (U Oslo): Theme C "Multilevel & Multifidelity for SPDEs"
May 6, 2022 09:45 — 10:00
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Preview of Ionut-Gabriel Farcas - A general framework for quantifying uncertainty at scale and its application to fusion research
Ionut-Gabriel Farcas (U of Texas, Austin): A general framework for quantifying uncertainty at scale and its application to fusion research
May 9, 2022 15:10 — 16:00
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