Videos

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Applications of machine learning to materials data Thumbnail

Applications of machine learning to materials data

Presenter
  • Atsuto Seko
October 4, 2017
IPAM
Crossing the logarithmic barrier for dynamic boolean data structure lower bounds Thumbnail

Crossing the logarithmic barrier for dynamic boolean data structure lower bounds

Presenters
  • Omri Weinstein
  • Omri Weinstein
October 2, 2017
IAS
Numerical Approximation Algorithms for Big Data Thumbnail

Numerical Approximation Algorithms for Big Data

Presenter
  • Dongbin Xiu
May 24, 2017
IPAM

Augmenting Human and Machine Intelligence with Data Visualization

Presenters
  • Fernanda Viégas
  • Martin Wattenberg
May 10, 2017
ICERM
The Here-to-Stay Roles of Big Data and Machine Learning Thumbnail

The Here-to-Stay Roles of Big Data and Machine Learning

Presenter
  • Tanya Beder
April 27, 2017
IPAM
Accurate reconstruction of sparsely sub sampled data Thumbnail

Accurate reconstruction of sparsely sub sampled data

Presenter
  • Stan Osher
January 31, 2017
IPAM
From high-performance computing to big-data analytics of materials science and back Thumbnail

From high-performance computing to big-data analytics of materials science and back

Presenter
  • Claudia Draxl
January 31, 2017
IPAM
Sparse sampling methods for large scale experimental data Thumbnail

Sparse sampling methods for large scale experimental data

Presenter
  • Rick Archibald
January 30, 2017
IPAM

Evolution Equations and Randomized Initial Data

Presenter
  • Gigliola Staffilani
January 26, 2017
ICERM
What is special about mining spatial and spatio-temporal datasets? Thumbnail

What is special about mining spatial and spatio-temporal datasets?

Presenter
  • Shashi Shekhar
January 24, 2017
IMA
Sparsity and Scarcity in Discrete Event Data Analysis Thumbnail

Sparsity and Scarcity in Discrete Event Data Analysis

Presenter
  • Rebecca Willett
December 7, 2016
IPAM
Learning from Conjugated Polymers: Statistical Data Mining from 50 Million and Counting Thumbnail

Learning from Conjugated Polymers: Statistical Data Mining from 50 Million and Counting

Presenter
  • Geoffrey Hutchison
December 6, 2016
IPAM