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

Publications

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. A. Makur, G. W. Wornell, and L. Zheng, "On Estimation of Modal Decompositions", Proc. Int. Symp. Inform. Theory (ISIT-2020), (virtual), June 2020.
  3. S-L. Huang, X. Xu, L. Zheng, and G. W. Wornell, "A Local Characterization for Wyner Common Information", Proc. Int. Symp. Inform. Theory (ISIT-2020), (virtual), June 2020.
  4. L. Wang and G. W. Wornell, "Communication Subject to State Obfuscation", Proc. Int. Zurich Seminar Inform., Commun. (IZS-2020), (Zurich, Switzerland), February 2020.
  5. 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-2019), (Vancouver, Canada), December 2019.
  6. 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-2019), (Vancouver, Canada), December 2019.
  7. 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 (https://arxiv.org/abs/1911.09105), November 2019.
  8. 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-2019), (Ottawa, Canada), November 2019.
  9. 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.
  10. 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.