Learning to Simulate

The paper presented at ICLR 2019 can be found here. I also have slides as well as a poster explaining the work in detail. Deep neural networks are an amazing piece of technology. With enough labelled data they can learn to produce very accurate classifiers for high dimensional input such as images and sound. In recent years the machine learning community has been able to successfully tackle problems such as classifying objects, detecting objects in images and segmenting images.