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Gregory W. Wornell

Gregory W. Wornell

D-Index & Metrics

Computer Science

D-Index
71
Citations
46772
World Ranking
1722
National Ranking
876

Electronics and Electrical Engineering

D-Index
68
Citations
44769
World Ranking
984
National Ranking
416

Overview

Gregory W. Wornell is affiliated with MIT in the United States and has contributed extensively to the field of computer science. Their research primarily spans artificial intelligence, signal processing, computer vision and pattern recognition, statistics and probability, and electrical and electronic engineering.

The scientist's work covers a variety of topics, including:

  • Blind Source Separation Techniques
  • Speech and Audio Processing
  • Neural Networks and Applications
  • Adversarial Robustness in Machine Learning
  • Domain Adaptation and Few-Shot Learning
  • Machine Learning and Algorithms
  • Statistical Methods and Inference

Wornell has frequently published in a number of venues, with the most prominent being arXiv (Cornell University), where they have 40 publications. Other venues include:

  • IEEE Transactions on Information Theory (3 publications)
  • Entropy (2 publications)
  • IEEE Transactions on Signal Processing (2 publications)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (2 publications)

Recent significant papers authored or co-authored by Wornell are:

  • "Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model," 2023, Proceedings of the AAAI Conference on Artificial Intelligence
  • "An Information Theoretic Interpretation to Deep Neural Networks," 2022, Entropy
  • "Tighter Expected Generalization Error Bounds via Convexity of Information Measures," 2022, 2022 IEEE International Symposium on Information Theory (ISIT)
  • "Blind Modulo Analog-to-Digital Conversion," 2022, IEEE Transactions on Signal Processing
  • "Asynchronous Massive Access and Neighbor Discovery Using OFDMA," 2022, IEEE Transactions on Information Theory

Frequent co-authors collaborating with Wornell include:

  • Yuheng Bu
  • Amir Weiss
  • Prasanna Sattigeri
  • Alejandro Lancho
  • Subhro Das

The scope of Wornell's research and collaborations reflects contributions across a broad spectrum of topics and publication venues within computer science, with a particular focus on the intersection of machine learning, signal processing, and information theory.

Best Publications

  • Cooperative diversity in wireless networks: Efficient protocols and outage behavior

    J.N. Laneman;D.N.C. Tse;G.W. Wornell

  • Distributed space-time-coded protocols for exploiting cooperative diversity in wireless networks

    J.N. Laneman;G.W. Wornell

  • Quantization index modulation: a class of provably good methods for digital watermarking and information embedding

    B. Chen;G.W. Wornell

  • Secure Transmission With Multiple Antennas—Part II: The MIMOME Wiretap Channel

    Ashish Khisti;Gregory W Wornell

  • Secure Transmission with Multiple Antennas II: The MIMOME Wiretap Channel

    Ashish Khisti;Gregory Wornell

  • Energy-efficient antenna sharing and relaying for wireless networks

    J.N. Laneman;G.W. Wornell

  • Efficient use of side information in multiple-antenna data transmission over fading channels

    A. Narula;M.J. Lopez;M.D. Trott;G.W. Wornell

  • An efficient protocol for realizing cooperative diversity in wireless networks

    J.N. Laneman;G.W. Wornell;D.N.C. Tse

  • Cooperative diversity in wireless networks: algorithms and architectures

    J. Nicholas Laneman;Gregory W. Wornell

  • Lattice-reduction-aided detectors for MIMO communication systems

    Huan Yao;G.W. Wornell

  • Estimation of fractal signals from noisy measurements using wavelets

    G.W. Wornell;A.V. Oppenheim

  • System, method, and product for information embedding using an ensemble of non-intersecting embedding generators

    Brian Chen;Gregory W. Wornell

  • Wavelet-based representations for the 1/f family of fractal processes

    G.W. Wornell

  • A Karhunen-Loeve-like expansion for 1/f processes via wavelets

    G.W. Wornell

  • Fundamental Limits of Communication With Low Probability of Detection

    Ligong Wang;Gregory W. Wornell;Lizhong Zheng

  • Signal processing with fractals: a wavelet-based approach

    Gregory Wornell;Alan V. Oppenheim

  • Sequential signal encoding from noisy measurements using quantizers with dynamic bias control

    H.C. Papadopoulos;G.W. Wornell;A.V. Oppenheim

  • Signal processing in the context of chaotic signals

    A.V. Oppenheim;G.W. Wornell;S.H. Isabelle;K.M. Cuomo

  • Adaptive Alternating Minimization Algorithms

    U. Niesen;D. Shah;G.W. Wornell

  • Digital watermarking and information embedding using dither modulation

    B. Chen;G.W. Wornell

Frequent Co-Authors

Ashish Khisti
Ashish Khisti University of Toronto
Andrew C. Singer
Andrew C. Singer University of Illinois at Urbana-Champaign
Francesco Marsili
Francesco Marsili Facebook (United States)
Stark C. Draper
Stark C. Draper University of Toronto

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