Master of Science Media Arts and Sciences, Massachusetts Institute of Technology, USA
Bachelor of Science Mathematics, University of Georgia, USA
Tom investigates the potential of new forms of computer software in enhancing the creative process. His current research focuses on the creative potential of Neural Networks working collaboratively with designers during ideation and prototyping.
Loh, B., & White. (2018). SpaceSheets: Interactive Latent Space Exploration through a Spreadsheet Interface. NeurIPS Workshop: Machine Learning for Creativity and Design.
Loh, I., & White. (2017). TopoSketch: Drawing in Latent Space. NeurIPS Workshop: Machine Learning for Creativity and Design.
White., Zeller, P., & Dockerty, H. (2017) Generative Embedded Mapping Systems for Design. NeurIPS Workshop: Machine Learning for Creativity and Design.
Creswell, A., White, T., Dumoulin, V., Arulkumaran, K., Sengupta, B., & Bharath, A. (2018). Gererative Adversarial Networks: A Overview. doi: 10.1109/MSP.2017.2765202
White., & Loh, I. (2017). Generating Animations by Sketching in Conceptual Space. In A. Goel, A. Jordanous, & A. Pease (Eds.), Eighth International Conference on Computational Creativity (pp. 261-268). Atlanta, GA.
White, T. (2016). Sampling Generative Networks. arxiv. Retrieved from https://arxiv.org/abs/1609.04468
White, T. (2016). Neural Puppet [Demonstration]. Barcelona, Spain: Neural Information Processing Systems.