Professor, Department of Electrical Engineering and Computer Science; Principal Investigator, Institute for Data, Systems, and Society
Gregory Wornell is the Sumitomo Professor of Engineering in MIT’s Department of Electrical Engineering and Computer Science, and is affiliated with the Computer Science and Artificial Intelligence Laboratory and the Institute for Data, Systems, and Society. He also heads the Signals, Information, and Algorithms Laboratory within the Research Laboratory of Electronics. His research interests span signal processing, information theory, statistical inference, and information security, and include architectures for sensing, learning, computing, communication, and storage; systems for computational imaging, vision, and perception; and aspects of neuroscience. Wornell earned a BASc from the University of British Columbia, and an SM and PhD from MIT.
- Painsky, A., Wornell, G. W. (2019). Bregman Divergence Bounds and Universality Properties of the Logarithmic Loss. in IEEE Transactions on Information Theory, vol. 66, no. 3, pp. 1658-1673.
- Lee, J. K. W., Sattigeri, P., Wornell, G. W. (2019). Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks. in Advances Neural Information Processing Systems (NeurIPS), Vancouver, Canada.
- Aittala, M., Sharma, P., Yedidia, A. B., Murmann, L., Freeman, W. T., Wornell, G. W., Durand, F. (2019). Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization. in Advances Neural Information Processing Systems (NeurIPS), Vancouver, Canada.
- Yedidia, A. B., Baradad, M., Thrampoulidis, C., Freeman, W. T., Wornell, G. W. (2019). Using Unknown Occluders to Recover Hidden Scenes. in Proceedings Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA.