Portrait of Sebastian Nowozin

Sebastian Nowozin

Senior Researcher

About

I develop novel algorithms and models for artificial intelligence and machine learning applications.

My current research interest is in the following areas:

  1. Probabilistic deep learning methods for unsupervised learning and semi-supervised structured prediction;
  2. Consequences of model misspecification on estimation and on decision problems;
  3. Understanding agent complexity in order to improve learning efficiency;
  4. Designing models for reasoning and planning.

In terms of methodology I am interested in structured prediction, deep learning, Monte Carlo methods, and decision theory.

My work has found industrial applications in computer vision, cloud-based machine learning, gesture recognition, statistical image processing, numerical optimization, and in time-of-flight imaging.

Projects

SlideShow Gestures-WPF

The SlideShow Gestures-WPF sample shows how you are able to use the Kinect for Windows SDK to control Windows applications through the use of gestures. It uses research from the Microsoft Research Cambridge lab to trigger events when the user…

Publications

2016

2015

2014

2013

2012

2011

Projects