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ASTRO Fall Course: Data Science Meets Astronomy: Galaxy Separation with Machine Learning
October 12, 2016
SAMSI
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
September 14, 2016
SAMSI
Three principles of data science: predictability, stability, and computability
Presenter
- Bin Yu
September 14, 2016
IMA
ASTRO Fall Course: James P. Long- Introduction to Time Domain Astronomy, part I
September 7, 2016
SAMSI
Suspense: Computation, Affect, and the Virtual Reader
Presenter
- Mark Algee-Hewitt Algee-Hewitt
May 25, 2016
IPAM
Using Noise to Quantify, Predict, and Control Single-Cell Gene Regulation
Presenter
- Brian Munsky
February 11, 2016
MBI
Modeling energy and climate policy using multihorizon stochastic programming
Presenter
- Christian Skar
January 15, 2016
IPAM
Quantifying, Modeling and Predicting Fluctuations of Signal-Activated Gene Expression
Presenter
- Brian Munsky
November 18, 2015
IMA
Giving "noise" the respect it deserves: ways to understand and visualize effects of stochasticity in ecological dynamics
Presenter
- Karen Abbott
October 30, 2015
MBI
Approaches and Uncertainties in Predicting Coastal Ecosystem Changes Due to Rising Sea Level
Presenter
- Donald De Angelis
October 28, 2015
MBI