Videos

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Efficient solvers for Bayesian inverse problems and Gaussian random fields Thumbnail

Efficient solvers for Bayesian inverse problems and Gaussian random fields

Presenter
  • Arvind Saibaba
August 30, 2022
IMSI
Scalable Gaussian-Process Inference Using Vecchia Approximations Thumbnail

Scalable Gaussian-Process Inference Using Vecchia Approximations

Presenter
  • Matthias Katzfuss
August 30, 2022
IMSI
Hierarchical models and computing with stochastic PDEs Thumbnail

Hierarchical models and computing with stochastic PDEs

Presenters
  • Finn Lindgren
  • Finn Lindgren
August 29, 2022
IMSI
Statistical Finite Elements for Nonlinear PDEs Thumbnail

Statistical Finite Elements for Nonlinear PDEs

Presenter
  • Connor Duffin
August 29, 2022
IMSI
Maximum likelihood estimation for Gaussian processes under inequality constraints Thumbnail

Maximum likelihood estimation for Gaussian processes under inequality constraints

Presenter
  • Francois Bachoc
August 29, 2022
IMSI
Generalized probabilistic principal component analysis of microscopic and macroscopic dynamics Thumbnail

Generalized probabilistic principal component analysis of microscopic and macroscopic dynamics

Presenter
  • Mengyang Gu
August 29, 2022
IMSI
Uncovering the Mechanisms and Physiological Roles of Non-monotonic Response Dynamics in Bacterial Stress Response and Differentiation Thumbnail

Uncovering the Mechanisms and Physiological Roles of Non-monotonic Response Dynamics in Bacterial Stress Response and Differentiation

Presenter
  • Oleg Igoshin
November 19, 2015
IMA
Reconstructing network evolution in biological systems. Thumbnail

Reconstructing network evolution in biological systems.

Presenter
  • John Pinney
February 27, 2012
IMA
Stan Osher - A Characteristic-Based Deep Learning Framework for Hamilton–Jacobi Equations with Application to Optimal Transport Thumbnail

Stan Osher - A Characteristic-Based Deep Learning Framework for Hamilton–Jacobi Equations with Application to Optimal Transport

Presenter
  • Stanley Osher
July 14, 2025
IPAM
Implicitization techniques: easy algorithms, deep proofs Thumbnail

Implicitization techniques: easy algorithms, deep proofs

Presenter
  • Alicia Dickenstein
August 24, 2012
SLMath
Tools for analyzing variational models Thumbnail

Tools for analyzing variational models

Presenter
  • Stephen Robinson
October 19, 2010
IMA
Preprocessing techniques for discrete optimization problems Thumbnail

Preprocessing techniques for discrete optimization problems

Presenter
  • Todd Munson
November 19, 2008
IMA