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

Publications

Selected Publications

  1. A. Weiss, E. Huang, O. Ordentlich, and G. W. Wornell, "Blind Modulo Analog-to-Digital Conversion", IEEE Trans. Signal Processing, 2022.
  2. A. Shah, Y. Bu, J. K-W. Lee, S. Das, R. Panda, P. Sattigeri, and G. W. Wornell, "Selective Regression Under Fairness Criteria", in Proc. Int. Conf. Machine Learning (ICML-2022), (Baltimore, MD), Proc. Mach. Learn. Res. (PMLR), vol. 162, pp. 19598-19615, July 2022.
  3. A. Weiss, T. Arikan, H. Vishnu, G. B. Deane, A. C. Singer, and G. W. Wornell, "A Semi-Blind Method for Localization of Underwater Acoustic Sources", IEEE Trans. Signal Processing, vol. 70, no. 7, July 2022.
  4. G. Aminian, Y. Bu, G. W. Wornell, and M. R. D. Rodrigues, "Tighter Expected Generalization Error Bounds via Convexity of Information Measures", in Proc. IEEE Int. Symp. Inform. Theory (ISIT-2022), (Helsinki, Finland), June 2022.
  5. J. K-W. Lee, Y. Bu, G. W. Wornell, P. Sattigeri, R. Panda, L. Karlinsky, and R. Feris, "A Maximal Correlation Approach to Imposing Fairness in Machine Learning", in Proc. Int. Conf. Acoust., Speech, Signal Processing (ICASSP-2022), (Singapore), May 2022.
  6. A. Weiss, E. Huang, O. Ordentlich, and G. W. Wornell, "Blind Modulo Analog-to-Digital Conversion of Vector Processes", in Proc. Int. Conf. Acoust., Speech, Signal Processing (ICASSP-2022), (Singapore), May 2022.
  7. Y. Bu, G. Aminian, L. Toni, G. W. Wornell, and M. Rodrigues, "Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm", in Proc. Int. Conf. Artif. Intell., Stat. (AISTATS-2022), (virtual), March 2022.
  8. J. K-W. Lee, Y. Bu, P. Sattigeri, R. Panda, G. W. Wornell, L. Karlinsky, and R. Feris, "A Maximal Correlation Approach to Imposing Fairness in Machine Learning", Entropy, vol. 24, no. 4, March 2022.
  9. X. Xu, S-L. Huang, L. Zheng, and G. W. Wornell, "An Information Theoretic Interpretation to Deep Neural Networks", Entropy, vol. 24, no. 1, January 2022.
  10. G. Aminian, Y. Bu, L. Toni, M. Rodrigues, and G. W. Wornell, "An Exact Characterization of the Generalization Error for the Gibbs Algorithm", in Advances Neural Inform. Proc. Syst. (NeurIPS-2021), (virtual), December 2021.