Signals, Information, and Algorithms Laboratory
Professor Gregory W. Wornell


Selected Publications

  1. A. Painsky and G. W. Wornell, "Bregman Divergence Bounds and Universality Properties of the Logarithmic Loss", to appear in IEEE Trans. Inform. Theory.
  2. M. Aittala, P. Sharma, A. B. Yedidia, L. Murmann, W. T. Freeman, G. W. Wornell, and F. Durand, "Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization", in Advances Neural Inform. Proc. Syst. (NeurIPS), (Vancouver, Canada), December 2019.
  3. J. K. W. Lee, P. Sattigeri, and G. W. Wornell, "Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks", in Advances Neural Inform. Proc. Syst. (NeurIPS), (Vancouver, Canada), December 2019.
  4. S-L. Huang, A. Makur, G. W. Wornell, and L. Zheng, "On Universal Features for High-Dimensional Learning and Inference", CoRR, vol. abs/1911.09105 (, November 2019.
  5. G. C. F. Lee, A. S. Rawat, and G. W. Wornell, "Robust Direction of Arrival Estimation in the Presence of Array Faults using Snapshot Diversity", Proc. Glob. Conf. Signal, Inform. Processing (GlobalSIP), (Ottawa, Canada), November 2019.
  6. S-L. Huang, X. Xu, L. Zheng, and G. W. Wornell, "An Information Theoretic Interpretation to Deep Neural Networks", in Proc. Int. Symp. Inform. Theory (ISIT-2019), (Paris, France), July 2019.
  7. A. B. Yedidia, M. Baradad, C. Thrampoulidis, W. T. Freeman, and G. W. Wornell, "Using Unknown Occluders to Recover Hidden Scenes", in Proc. Conf. Computer Vision, Pattern Recogition (CVPR-2019), (Long Beach, CA), June 2019.
  8. J. K. W. Lee, P. Sattigeri, and G. W. Wornell, "Few-Shot Transfer Learning from Multiple Pre-Trained Networks", in Proc. Int. Conf. Machine Learning (ICML-2019) Workshop on Generalization, (Long Beach, CA), June 2019.
  9. D. Wang, G.Joshi, and G. W. Wornell, "Efficient Straggler Replication in Large-Scale Parallel Computing", ACM Trans. Model. Perform. Eval. Comput. Syst., vol. 4, no. 2, pp. 7:1-7:23, June 2019.
  10. G. Ajjanagadde, A. B. Yedidia, C. Thrampoulidis, and G. W. Wornell, "Near-Optimal Coded Apertures for Imaging via Nazarov’s Theorem", in Proc. Int. Conf. Acoust., Speech, Signal Processing (ICASSP-2019), (Brighton, UK), May 2019.