GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
Hendrik Strobelt
Research Staff Member
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Hi, I am Hendrik Strobelt — Researcher, Data Scientist, and sometimes in good mood. This web-page should take the role of a web business card. Therefore, I will try to update the collection of my projects and ideas as soon as they are publishable.
Currently, I am working as a Researcher in Information Visualisation, Visual Analytics, and Machine Learning at IBM Research AI in Cambridge, MA. I am interested in Visualization of large data sets of unstructured/semi-structured data, biological data, and neural network models. I enjoy advising students and enable them to do great work.
I try to be a good citizen in the community by reviewing regularly (InfoVis 2010-2018, BioVis 2012/13, CHI 2011/2014/2017-18, VAST 2010-2018, EuroVis,…), participating in InfoVis PC 2017-19, the VIS OC 2017-19, the BioVis 2013 OC and PC, and other committees. I had the honor to attend three great and motivating Dagstuhl seminars on InfoVis, BioVis, and Progressive Data Science. Oh, and I like to give talks from time to time.
Publications with the MIT-IBM Watson AI Lab
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks
GAN Dissection: Visualizing and Understanding Generative Adversarial Networks