Videos

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Bin Yu - Interpreting Deep Neural Networks towards Trustworthiness - IPAM at UCLA Thumbnail

Bin Yu - Interpreting Deep Neural Networks towards Trustworthiness - IPAM at UCLA

Presenter
  • Bin Yu
January 9, 2023
IPAM
ASTRO Fall Course: James P. Long- Some Statistical Aspects of Photometric Redshift Estimation Thumbnail

ASTRO Fall Course: James P. Long- Some Statistical Aspects of Photometric Redshift Estimation

November 9, 2016
SAMSI
ASTRO Fall Course: Hyungsuk Tak- Strong Lens Time Delay Estimation Thumbnail

ASTRO Fall Course: Hyungsuk Tak- Strong Lens Time Delay Estimation

November 2, 2016
SAMSI
ASTRO Fall Course: Jessi Cisewski- Approximate Bayesian Computation Thumbnail

ASTRO Fall Course: Jessi Cisewski- Approximate Bayesian Computation

October 26, 2016
SAMSI
ASTRO Fall Course: Tom Loredo- Hierarchical Bayesian Modeling Thumbnail

ASTRO Fall Course: Tom Loredo- Hierarchical Bayesian Modeling

October 19, 2016
SAMSI
ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part III Thumbnail

ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part III

September 21, 2016
SAMSI
ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part II Thumbnail

ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part II

September 14, 2016
SAMSI
ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part I Thumbnail

ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part I

September 7, 2016
SAMSI
Topological Inference in fMRI / Dimension Reduction Thumbnail

Topological Inference in fMRI / Dimension Reduction

Presenter
  • Jonathan Taylor
October 4, 2013
IMA
Introductory Workshop: Kinetic Theory & Stochastic Partial Differential Equations: Some Aspects of Numerical Methods for Kinetic Equations and High Dimensional Scientific Computing: III Thumbnail

Introductory Workshop: Kinetic Theory & Stochastic Partial Differential Equations: Some Aspects of Numerical Methods for Kinetic Equations and High Dimensional Scientific Computing: III

Presenter
  • Yingda Cheng
August 29, 2025
SLMath
Introductory Workshop: Kinetic Theory & Stochastic Partial Differential Equations: Some Aspects of Numerical Methods for Kinetic Equations and High Dimensional Scientific Computing: II Thumbnail

Introductory Workshop: Kinetic Theory & Stochastic Partial Differential Equations: Some Aspects of Numerical Methods for Kinetic Equations and High Dimensional Scientific Computing: II

Presenter
  • Yingda Cheng
August 28, 2025
SLMath
Introductory Workshop: Kinetic Theory & Stochastic Partial Differential Equations: Some Aspects of Numerical Methods for Kinetic Equations and High Dimensional Scientific Computing: I Thumbnail

Introductory Workshop: Kinetic Theory & Stochastic Partial Differential Equations: Some Aspects of Numerical Methods for Kinetic Equations and High Dimensional Scientific Computing: I

Presenter
  • Yingda Chen
August 26, 2025
SLMath