Gregory W. Wornell

ORCID

Publication Activity (10 Years)

Years Active: 1988-2024
Publications (10 Years): 110

Top Venues

CoRR

ISIT

IEEE Trans. Inf. Theory

ICASSP

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

Safa C. Medin, Gengyan Li, Ruofei Du, Stephan Garbin, Philip Davidson, Gregory W. Wornell, Thabo Beeler, Abhimitra Meka
FaceFolds: Meshed Radiance Manifolds for Efficient Volumetric Rendering of Dynamic Faces. Proc. ACM Comput. Graph. Interact. Tech. 7 (1) (2024)
Haobo Chen, Gregory W. Wornell, Yuheng Bu
Gibbs-Based Information Criteria and the Over-Parameterized Regime. AISTATS (2024)
Jongha Jon Ryu, Maohao Shen, Soumya Ghosh, Yuheng Bu, Prasanna Sattigeri, Subhro Das, Gregory W. Wornell
Improved Evidential Deep Learning via a Mixture of Dirichlet Distributions. CoRR (2024)
Amir Weiss, Yuval Kochman, Gregory W. Wornell
A Joint Data Compression and Time-Delay Estimation Distributed Systems via Extremum Encoding. ICASSP (2024)
Jongha Jon Ryu, Xiangxiang Xu, H. S. Melihcan Erol, Yuheng Bu, Lizhong Zheng, Gregory W. Wornell
Operator SVD with Neural Networks via Nested Low-Rank Approximation. CoRR (2024)
Maohao Shen, Subhro Das, Kristjan H. Greenewald, Prasanna Sattigeri, Gregory W. Wornell, Soumya Ghosh
Thermometer: Towards Universal Calibration for Large Language Models. CoRR (2024)
Shao-Lun Huang, Anuran Makur, Gregory W. Wornell, Lizhong Zheng
Universal Features for High-Dimensional Learning and Inference. Found. Trends Commun. Inf. Theory 21 (1-2) (2024)
Safa C. Medin, Gengyan Li, Ruofei Du, Stephan Garbin, Philip Davidson, Gregory W. Wornell, Thabo Beeler, Abhimitra Meka
FaceFolds: Meshed Radiance Manifolds for Efficient Volumetric Rendering of Dynamic Faces. CoRR (2024)
Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell
Information-Theoretic Characterizations of Generalization Error for the Gibbs Algorithm. IEEE Trans. Inf. Theory 70 (1) (2024)
Jongha Jon Ryu, Gregory W. Wornell
Gambling-Based Confidence Sequences for Bounded Random Vectors. CoRR (2024)
Maohao Shen, Yuheng Bu, Gregory W. Wornell
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation. ICML (2023)
Gary C. F. Lee, Amir Weiss, Alejandro Lancho, Yury Polyanskiy, Gregory W. Wornell
On Neural Architectures for Deep Learning-based Source Separation of Co-Channel OFDM Signals. CoRR (2023)
Tejas Jayashankar, Gary C. F. Lee, Alejandro Lancho, Amir Weiss, Yury Polyanskiy, Gregory W. Wornell
Score-based Source Separation with Applications to Digital Communication Signals. NeurIPS (2023)
Yuheng Bu, Harsha Vardhan Tetali, Gholamali Aminian, Miguel R. D. Rodrigues, Gregory W. Wornell
On the Generalization Error of Meta Learning for the Gibbs Algorithm. CoRR (2023)
Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell
Group Fairness with Uncertainty in Sensitive Attributes. CoRR (2023)
Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell
Reliable Gradient-free and Likelihood-free Prompt Tuning. CoRR (2023)
Amir Weiss, Andrew C. Singer, Gregory W. Wornell
Towards Robust Data-Driven Underwater Acoustic Localization: A Deep CNN Solution with Performance Guarantees for Model Mismatch. ICASSP (2023)
Abhin Shah, Devavrat Shah, Gregory W. Wornell
On Computationally Efficient Learning of Exponential Family Distributions. CoRR (2023)
Haobo Chen, Yuheng Bu, Gregory W. Wornell
SGLD-Based Information Criteria and the Over-Parameterized Regime. CoRR (2023)
Amir Weiss, Alejandro Lancho, Yuheng Bu, Gregory W. Wornell
A Bilateral Bound on the Mean-Square Error for Estimation in Model Mismatch. ISIT (2023)
Mumin Jin, Atulya Yellepeddi, Gregory W. Wornell
2D-Radar Imaging With Deep Convolutional Neural Networks. MLSP (2023)
Toros Arikan, Amir Weiss, Hari Vishnu, Grant B. Deane, Andrew C. Singer, Gregory W. Wornell
Learning Environmental Structure Using Acoustic Probes with a Deep Neural Network. ICASSP (2023)
Gary C. F. Lee, Amir Weiss, Alejandro Lancho, Yury Polyanskiy, Gregory W. Wornell
On Neural Architectures for Deep Learning-Based Source Separation of Co-Channel OFDM Signals. ICASSP (2023)
Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model. AAAI (2023)
Yuheng Bu, Harsha Vardhan Tetali, Gholamali Aminian, Miguel R. D. Rodrigues, Gregory W. Wornell
On the Generalization Error of Meta Learning for the Gibbs Algorithm. ISIT (2023)
Tejas Jayashankar, Gary C. F. Lee, Alejandro Lancho, Amir Weiss, Yury Polyanskiy, Gregory W. Wornell
Score-based Source Separation with Applications to Digital Communication Signals. CoRR (2023)
Safa C. Medin, Amir Weiss, Frédo Durand, William T. Freeman, Gregory W. Wornell
Can Shadows Reveal Biometric Informationƒ. WACV (2023)
Xu Chen, Lina Liu, Dongning Guo, Gregory W. Wornell
Asynchronous Massive Access and Neighbor Discovery Using OFDMA. IEEE Trans. Inf. Theory 69 (4) (2023)
Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell
Reliable Gradient-free and Likelihood-free Prompt Tuning. EACL (Findings) (2023)
Amir Weiss, Alejandro Lancho, Yuheng Bu, Gregory W. Wornell
A Bilateral Bound on the Mean-Square Error for Estimation in Model Mismatch. CoRR (2023)
Maohao Shen, Yuheng Bu, Gregory W. Wornell
On the Benefits of Selectivity in Pseudo-Labeling for Unsupervised Multi-Source-Free Domain Adaptation. CoRR (2022)
Gary C. F. Lee, Amir Weiss, Alejandro Lancho, Jennifer Tang, Yuheng Bu, Yury Polyanskiy, Gregory W. Wornell
Exploiting Temporal Structures of Cyclostationary Signals for Data-Driven Single-Channel Source Separation. CoRR (2022)
Amir Weiss, Toros Arikan, Hari Vishnu, Grant B. Deane, Andrew C. Singer, Gregory W. Wornell
A Semi-Blind Method for Localization of Underwater Acoustic Sources. IEEE Trans. Signal Process. 70 (2022)
Yuheng Bu, Gholamali Aminian, Laura Toni, Gregory W. Wornell, Miguel R. D. Rodrigues
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm. AISTATS (2022)
Abhin Shah, Yuheng Bu, Joshua K. Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell
Selective Regression under Fairness Criteria. ICML (2022)
Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell
Information-theoretic Characterizations of Generalization Error for the Gibbs Algorithm. CoRR (2022)
Alejandro Lancho, Amir Weiss, Gary C. F. Lee, Jennifer Tang, Yuheng Bu, Yury Polyanskiy, Gregory W. Wornell
Data-Driven Blind Synchronization and Interference Rejection for Digital Communication Signals. GLOBECOM (2022)
Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris
A Maximal Correlation Approach to Imposing Fairness in Machine Learning. ICASSP (2022)
Gholamali Aminian, Yuheng Bu, Gregory W. Wornell, Miguel R. D. Rodrigues
Tighter Expected Generalization Error Bounds via Convexity of Information Measures. ISIT (2022)
Gary C. F. Lee, Amir Weiss, Alejandro Lancho, Jennifer Tang, Yuheng Bu, Yury Polyanskiy, Gregory W. Wornell
Exploiting Temporal Structures of Cyclostationary Signals for Data-Driven Single-Channel Source Separation. MLSP (2022)
Amir Weiss, Toros Arikan, Gregory W. Wornell
Direct Localization in Underwater Acoustics Via Convolutional Neural Networks: A Data-Driven Approach. MLSP (2022)
Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Schmidt Feris
A Maximal Correlation Framework for Fair Machine Learning. Entropy 24 (4) (2022)
Alejandro Lancho, Amir Weiss, Gary C. F. Lee, Jennifer Tang, Yuheng Bu, Yury Polyanskiy, Gregory W. Wornell
Data-Driven Blind Synchronization and Interference Rejection for Digital Communication Signals. CoRR (2022)
Safa C. Medin, Amir Weiss, Frédo Durand, William T. Freeman, Gregory W. Wornell
Can Shadows Reveal Biometric Information? CoRR (2022)
Amir Weiss, Everest W. Huang, Or Ordentlich, Gregory W. Wornell
Blind Modulo Analog-to-Digital Conversion. IEEE Trans. Signal Process. 70 (2022)
Abhin Shah, Raaz Dwivedi, Devavrat Shah, Gregory W. Wornell
On counterfactual inference with unobserved confounding. CoRR (2022)
Amir Weiss, Everest W. Huang, Or Ordentlich, Gregory W. Wornell
Blind Modulo Analog-to-Digital Conversion of Vector Processes. ICASSP (2022)
Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model. CoRR (2022)
Amir Weiss, Toros Arikan, Gregory W. Wornell
Direct Localization in Underwater Acoustics via Convolutional Neural Networks: A Data-Driven Approach. CoRR (2022)
Gholamali Aminian, Yuheng Bu, Gregory W. Wornell, Miguel R. D. Rodrigues
Tighter Expected Generalization Error Bounds via Convexity of Information Measures. CoRR (2022)
Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, Gregory W. Wornell
An Information Theoretic Interpretation to Deep Neural Networks. Entropy 24 (1) (2022)
Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand
What You Can Learn by Staring at a Blank Wall. CoRR (2021)
Abhin Shah, Yuheng Bu, Joshua Ka-Wing Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell
Selective Regression Under Fairness Criteria. CoRR (2021)
Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand
What You Can Learn by Staring at a Blank Wall. ICCV (2021)
Amir Weiss, Everest W. Huang, Or Ordentlich, Gregory W. Wornell
Blind Modulo Analog-to-Digital Conversion of Vector Processes. CoRR (2021)
Yuheng Bu, Gholamali Aminian, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell
Characterizing and Understanding the Generalization Error of Transfer Learning with Gibbs Algorithm. CoRR (2021)
Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell
An Exact Characterization of the Generalization Error for the Gibbs Algorithm. NeurIPS (2021)
Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell
Characterizing the Generalization Error of Gibbs Algorithm with Symmetrized KL information. CoRR (2021)
Abhin Shah, Devavrat Shah, Gregory W. Wornell
On Learning Continuous Pairwise Markov Random Fields. AISTATS (2021)
Abhin Shah, Devavrat Shah, Gregory W. Wornell
A Computationally Efficient Method for Learning Exponential Family Distributions. CoRR (2021)
Joshua K. Lee, Yuheng Bu, Deepta Rajan, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Gregory W. Wornell
Fair Selective Classification Via Sufficiency. ICML (2021)
Yuheng Bu, Tony Wang, Gregory W. Wornell
SDP Methods for Sensitivity-Constrained Privacy Funnel and Information Bottleneck Problems. ISIT (2021)
Amir Weiss, Gregory W. Wornell
One-Bit Direct Position Determination of Narrowband Gaussian Signals. SSP (2021)
Abhin Shah, Devavrat Shah, Gregory W. Wornell
A Computationally Efficient Method for Learning Exponential Family Distributions. NeurIPS (2021)
Abhin Shah, Devavrat Shah, Gregory W. Wornell
On Learning Continuous Pairwise Markov Random Fields. CoRR (2020)
Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell
A Local Characterization for Wyner Common Information. ISIT (2020)
Joshua K. Lee, Yuheng Bu, Prasanna Sattigeri, Rameswar Panda, Gregory W. Wornell, Leonid Karlinsky, Rogério Feris
A Maximal Correlation Approach to Imposing Fairness in Machine Learning. CoRR (2020)
Amichai Painsky, Gregory W. Wornell
Bregman Divergence Bounds and Universality Properties of the Logarithmic Loss. IEEE Trans. Inf. Theory 66 (3) (2020)
Anuran Makur, Gregory W. Wornell, Lizhong Zheng
On Estimation of Modal Decompositions. ISIT (2020)
Ganesh Ajjanagadde, Christos Thrampoulidis, Adam B. Yedidia, Gregory W. Wornell
Near-optimal Coded Apertures for Imaging via Nazarov's Theorem. ICASSP (2019)
Gal Shulkind, Stefanie Jegelka, Gregory W. Wornell
Sensor Array Design Through Submodular Optimization. IEEE Trans. Inf. Theory 65 (1) (2019)
Da Wang, Gauri Joshi, Gregory W. Wornell
Efficient Straggler Replication in Large-Scale Parallel Computing. ACM Trans. Model. Perform. Evaluation Comput. Syst. 4 (2) (2019)
Adam B. Yedidia, Manel Baradad, Christos Thrampoulidis, William T. Freeman, Gregory W. Wornell
Using Unknown Occluders to Recover Hidden Scenes. CVPR (2019)
Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, William T. Freeman, Frédo Durand
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization. CoRR (2019)
Uri Erez, Gregory W. Wornell
Super-Nyquist Rateless Coding for Intersymbol Interference Channels. CoRR (2019)
Gary C. F. Lee, Ankit S. Rawat, Gregory W. Wornell
Robust Direction of Arrival Estimation in the Presence of Array Faults using Snapshot Diversity. GlobalSIP (2019)
Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell
An Information Theoretic Interpretation to Deep Neural Networks. ISIT (2019)
Miika Aittala, Prafull Sharma, Lukas Murmann, Adam B. Yedidia, Gregory W. Wornell, Bill Freeman, Frédo Durand
Computational Mirrors: Blind Inverse Light Transport by Deep Matrix Factorization. NeurIPS (2019)
Joshua K. Lee, Prasanna Sattigeri, Gregory W. Wornell
Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks. NeurIPS (2019)
Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell
An Information Theoretic Interpretation to Deep Neural Networks. CoRR (2019)
Shao-Lun Huang, Anuran Makur, Gregory W. Wornell, Lizhong Zheng
On Universal Features for High-Dimensional Learning and Inference. CoRR (2019)
Amichai Painsky, Gregory W. Wornell
On the Universality of the Logistic Loss Function. ISIT (2018)
Adam B. Yedidia, Christos Thrampoulidis, Gregory W. Wornell
Analysis and Optimization of Aperture Design in Computational Imaging. ICASSP (2018)
Or Ordentlich, Gizem Tabak, Pavan Kumar Hanumolu, Andrew C. Singer, Gregory W. Wornell
A Modulo-Based Architecture for Analog-to-Digital Conversion. CoRR (2018)
Amichai Painsky, Gregory W. Wornell
On the Universality of the Logistic Loss Function. CoRR (2018)
Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogério Schmidt Feris, William T. Freeman, Gregory W. Wornell
Co-regularized Alignment for Unsupervised Domain Adaptation. CoRR (2018)
Amichai Painsky, Gregory W. Wornell
Bregman Divergence Bounds and the Universality of the Logarithmic Loss. CoRR (2018)
Si-Hyeon Lee, Ligong Wang, Ashish Khisti, Gregory W. Wornell
Covert Communication With Channel-State Information at the Transmitter. IEEE Trans. Inf. Forensics Secur. 13 (9) (2018)
Or Ordentlich, Gizem Tabak, Pavan Kumar Hanumolu, Andrew C. Singer, Gregory W. Wornell
A Modulo-Based Architecture for Analog-to-Digital Conversion. IEEE J. Sel. Top. Signal Process. 12 (5) (2018)
Abhishek Kumar, Prasanna Sattigeri, Kahini Wadhawan, Leonid Karlinsky, Rogério Schmidt Feris, Bill Freeman, Gregory W. Wornell
Co-regularized Alignment for Unsupervised Domain Adaptation. NeurIPS (2018)
Manel Baradad, Vickie Ye, Adam B. Yedidia, Frédo Durand, William T. Freeman, Gregory W. Wornell, Antonio Torralba
Inferring Light Fields From Shadows. CVPR (2018)
Christos Thrampoulidis, Gal Shulkind, Feihu Xu, William T. Freeman, Jeffrey H. Shapiro, Antonio Torralba, Franco N. C. Wong, Gregory W. Wornell
Exploiting Occlusion in Non-Line-of-Sight Active Imaging. IEEE Trans. Computational Imaging 4 (3) (2018)
Shao-Lun Huang, Gregory W. Wornell, Lizhong Zheng
Gaussian Universal Features, Canonical Correlations, and Common Information. ITW (2018)
Felix Naser, Igor Gilitschenski, Guy Rosman, Alexander Amini, Frédo Durand, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Sertac Karaman, Daniela Rus
ShadowCam: Real-Time Detection of Moving Obstacles Behind A Corner For Autonomous Vehicles. ITSC (2018)
Jennifer Tang, Da Wang, Yury Polyanskiy, Gregory W. Wornell
Defect Tolerance: Fundamental Limits and Examples. IEEE Trans. Inf. Theory 64 (7) (2018)
Gauri Joshi, Emina Soljanin, Gregory W. Wornell
Efficient Redundancy Techniques for Latency Reduction in Cloud Systems. ACM Trans. Model. Perform. Evaluation Comput. Syst. 2 (2) (2017)
Gal Shulkind, Stefanie Jegelka, Gregory W. Wornell
Multiple wavelength sensing array design. ICASSP (2017)
Si-Hyeon Lee, Ligong Wang, Ashish Khisti, Gregory W. Wornell
Covert communication with noncausal channel-state information at the transmitter. ISIT (2017)
Shao-Lun Huang, Anuran Makur, Lizhong Zheng, Gregory W. Wornell
An information-theoretic approach to universal feature selection in high-dimensional inference. ISIT (2017)
Si-Hyeon Lee, Ligong Wang, Ashish Khisti, Gregory W. Wornell
Covert Communication with Channel-State Information at the Transmitter. CoRR (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Gregory W. Wornell