Visualizing multi-dimensional spaces, Tom Torsney-Weir
Sprache des Titels:
I will discuss work on visualization techniques for understanding machine learning models, numerical simulations, multi-objective optimization, and function spaces. This diverse set of application areas can be abstracted under the name "multi-dimensional spaces." These are spaces typically between 4 and 20 dimensions where the dimensions have specific semantic meaning. In this talk I will discuss the available challenges and recent solutions to visually understanding these multi-dimensional spaces on a 2D screen.