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

Publications

Selected Publications

  1. G. Aminian, Y. Bu, L. Toni, M. R. D. Rodrigues, and G. W. Wornell, "Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm", IEEE Trans. Inform. Theory, vol. 70, no. 1, pp. 632-655, January 2024.
  2. T. Jayashankar, G. C. F. Lee, A. Lancho, A. Weiss, Y. Polyanskiy, and G. W. Wornell, "Score-based Source Separation with Applications to Digital Communication Signals", to appear in Advances Neural Inform. Proc. Syst. (NeurIPS-2023), (New Orleans, LA), December 2023.
  3. M. Jin, A. Yellipeddi, and G. W. Wornell, "2D-Radar Imaging with Deep Convolutional Neural Networks", in Proc. Int. Workshop Mach. Learning, Signal Process. (MLSP-2023), (Rome, Italy), September 2023.
  4. G. C. F. Lee, "Machine Learning for Data-Driven Signal Separation and Interference Mitigation in Radio-Frequency Communication Systems", Doctoral Thesis, September 2023.
  5. M. Shen, Y. Bu, and G. W. Wornell, "On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation", in Proc. Int. Conf. Mach. Learning (ICML-2023), (Honolulu, HI), July 2023.
  6. A. Shah, M. Shen, J. Ryu, S. Das, P. Sattigeri, Y. Bu, and G. W. Wornell, "Group Fairness with Uncertainty in Sensitive Attributes", in ICML 2023 Workshop on Spurious Correlations, Invariance, and Stability (SCIS-203), (Honolulu,HI), July 2023.
  7. Y. Bu, H. V. Tetali, G. Aminian, M. Rodrigues, and G. W. Wornell, "On the Generalization Error of Meta Learning for the Gibbs Algorithm", in Proc. Int. Symp. Inform. Theory (ISIT-2023), (Taipei, Taiwan), June 2023.
  8. A. Weiss, A. Lancho, Y. Bu, and G. W. Wornell, "A Bilateral Bound on the Mean-Square Error for Estimation in Model Mismatch", in Proc. Int. Symp. Inform. Theory (ISIT-2023), (Taipei, Taiwan), June 2023.
  9. 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.
  10. 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.