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

Publications

Selected Publications

  1. M. Shen, J. Ryu, S. Ghosh, Y. Bu, P. Sattigeri, S. Das, G. W. Wornell, "Are Uncertainty Quantification Capabilities of Evidential Deep Learning a Mirage?", Advances Neural Inform. Proc. Syst. (NeurIPS-2024), (Vancouver, Canada), December 2024.
  2. L. Wang and G. W. Wornell, "Communication Over Discrete Channels Subject to State Obfuscation", IEEE Trans. Inform. Theory, vol. 70, no. 12, pp. 8455-8466, December 2024.
  3. O. Lev, M. Ho, L. Wang, and G. W. Wornell, "On the Capacity of Scalar Gaussian Channels Subject to State Obfuscation", in Proc. Allerton Conf. Commun., Contr., Computing (Champaign, Illinois), September 2024.
  4. M. Shen, S. Das, K. Greenewald, P. Sattigeri, G. W. Wornell, and S. Ghosh, "Thermometer: Towards Universal Calibration for Large Language Models", in Proc. Int. Conf. Mach. Learning (ICML-2024), (Vienna, Austria), Proc. Mach. Learn. Res. (PMLR), vol. 235, pp. 44687-44711, July 2024.
  5. J. Ryu, X. Xu, H. S. M. Erol, Y. Bu, L. Zheng, and G. W. Wornell, "Operator SVD with Neural Networks via Nested Low-Rank Approximation", Proc. Int. Conf. Mach. Learning (ICML-2024), (Vienna, Austria), Proc. Mach. Learn. Res. (PMLR), vol. 235, pp. 42870-42905, July 2024.
  6. J. Ryu and G. W. Wornell, "Gambling-Based Confidence Sequences for Bounded Random Vectors", Proc. Int. Conf. Mach. Learning (ICML-2024), (Vienna, Austria), Proc. Mach. Learn. Res. (PMLR), vol. 235, pp. 42856-42869, July 2024.
  7. A. Shah, M. Shen, J. Ryu, S. Das, P. Sattigeri, Y. Bu, and G. W. Wornell, "Group Fairness with Uncertainty in Sensitive Attributes", Proc. Int. Symp. Inform. Theory (ISIT-2024), July 2024.
  8. T. Arikan, A. Weiss, H. Vishnu, G. B. Dene, A. C. Singer, and G. W. Wornell, "A Deep Learning Method for Reflective Boundary Estimation", J. Acoust. Soc. Am., vol. 156, no. 1, pp. 65-80, July 2024.
  9. S. Medin, G. Li, R. Du, S. Garbin, P. Davidson, G. W. Wornell, T. Beeler, and A. Meka, "FaceFolds: Meshed Radiance Manifolds for Efficient Volumetric Rendering of Dynamic Faces", in Proc. Interactive 3D Graphics, Games (I3D-2024), (Philadelphia, PA), Proc.ACM Comput. Graph., Interact. Techniques, vol. 7, no. 1, pp. 1--17, May 2024.
  10. H. Chen, G. W. Wornell, and Y. Bu, "Gibbs-based Information Criteria and the Over-Parameterized Regime", in Proc. Int. Conf. Artif. Intel., Stat. (AISTATS-2024), (Valencia, Spain), Proc. Mach. Learn. Res. (PMLR), vol. 238, pp. 4501-4509, May 2024.