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

Publications

Selected Publications

  1. M. Shen, Y. Bu, and G. W. Wornell, "On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation", to appear in Proc. Int. Conf. Mach. Learning (ICML-2023), (Honolulu, HI), July 2023.
  2. A. Shah, M. Shen, J. Ryu, S. Das, P. Sattigeri, Y. Bu, and G. W. Wornell, "Group Fairness with Uncertainty in Sensitive Attributes", to appear in in ICML 2023 Workshop on Spurious Correlations, Invariance, and Stability (SCIS-203), (Honolulu,HI), July 2023.
  3. Y. Bu, H. V. Tetali, G. Aminian, M. Rodrigues, and G. W. Wornell, "On the Generalization Error of Meta Learning for the Gibbs Algorithm", to appear in Proc. Int. Symp. Inform. Theory (ISIT-2023), (Taipei, Taiwan), June 2023.
  4. A. Weiss, A. Lancho, Y. Bu, and G. W. Wornell, "A Bilateral Bound on the Mean-Square Error for Estimation in Model Mismatch", to appear in Proc. Int. Symp. Inform. Theory (ISIT-2023), (Taipei, Taiwan), June 2023.
  5. G. C. F. Lee, A. Weiss, A. Lancho, Y. Polyanskiy, and G. W. Wornell, "On Neural Architectures for Deep Learning-based Source Separation of Co-Channel OFDM Signals", in Proc. Int. Conf. Acoust., Speech, Signal Process. (ICASSP-2023)}, (Rhodes, Greece), June 2023.
  6. A. Weiss, A. C. Singer, and G. W. Wornell, "Towards Robust Data-Driven Underwater Acoustic Localization: A Deep CNN Solution with Performance Guarantees for Model Mismatch", in Proc. Int. Conf. Acoust., Speech, Signal Process. (ICASSP-2023)}, (Rhodes, Greece), June 2023.
  7. T. Arikan, A. Weiss, H. Vishnu, G. Deane, A. C. Singer, and G. W. Wornell, "Learning Environmental Structure Using Acoustic Probes with a Deep Neural Network", in Proc. Int. Conf. Acoust., Speech, Signal Process. (ICASSP-2023)}, (Rhodes, Greece), June 2023.
  8. T. Arikan, "Data-Driven Localization and Structure Learning in Reverberant Underwater Acoustic Environments", Doctoral Thesis, May 2023.
  9. T. Arikan, A. Weiss, H. Vishnu, G. B. Deane, A. C. Singer, and G. W. Wornell, "An Architecture for Passive Joint Localization and Environment Learning in Shallow-Water Underwater Acoustic Settings", in Proc. Meeting Acoust. Soc. Am. (ASA), (Chicago, IL): J. Acoust. Soc. Am., vol. 153, no. 3, pt. 2, p. A375, May 2023.
  10. A. Weiss, G. B. Deane, A. C. Singer, and G. W. Wornell, "On Data-Driven Underwater Acoustic Direct Localization: Design Considerations of a Deep Neural Network-Based Solution", in Proc. Meeting Acoust. Soc. Am. (ASA)}, (Chicago, IL): J. Acoust. Soc. Am., vol. 153, no. 3, pt. 2, p. A177, May 2023.