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ORCIDGregory W. Wornell
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- affiliation: Massachusetts Institute of Technology, Cambridge, USA
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2020 – today
- 2023
[j72]Xu Chen
, Lina Liu, Dongning Guo, Gregory W. Wornell:
Asynchronous Massive Access and Neighbor Discovery Using OFDMA. IEEE Trans. Inf. Theory 69(4): 2364-2384 (2023)- [c149]Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell:
Post-hoc Uncertainty Learning Using a Dirichlet Meta-Model. AAAI 2023: 9772-9781 - [c148]Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell:
Reliable Gradient-free and Likelihood-free Prompt Tuning. EACL (Findings) 2023: 2371-2384 - [c147]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: 1-5 - [c146]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: 1-5 - [c145]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: 1-5 - [c144]Maohao Shen, Yuheng Bu, Gregory W. Wornell:
On Balancing Bias and Variance in Unsupervised Multi-Source-Free Domain Adaptation. ICML 2023: 30976-30991 - [c143]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: 2488-2493 - [c142]Amir Weiss, Alejandro Lancho, Yuheng Bu, Gregory W. Wornell:
A Bilateral Bound on the Mean-Square Error for Estimation in Model Mismatch. ISIT 2023: 2655-2660 - [c141]Mumin Jin, Atulya Yellepeddi, Gregory W. Wornell:
2D-Radar Imaging With Deep Convolutional Neural Networks. MLSP 2023: 1-6 - [c140]Safa C. Medin, Amir Weiss, Frédo Durand, William T. Freeman, Gregory W. Wornell:
Can Shadows Reveal Biometric Informationƒ. WACV 2023: 869-879 - [i73]Abhin Shah, Maohao Shen, Jongha Jon Ryu, Subhro Das, Prasanna Sattigeri, Yuheng Bu, Gregory W. Wornell:
Group Fairness with Uncertainty in Sensitive Attributes. CoRR abs/2302.08077 (2023) - [i72]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 abs/2303.06438 (2023) - [i71]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 abs/2304.14332 (2023) - [i70]Maohao Shen, Soumya Ghosh, Prasanna Sattigeri, Subhro Das, Yuheng Bu, Gregory W. Wornell:
Reliable Gradient-free and Likelihood-free Prompt Tuning. CoRR abs/2305.00593 (2023) - [i69]Amir Weiss, Alejandro Lancho, Yuheng Bu, Gregory W. Wornell:
A Bilateral Bound on the Mean-Square Error for Estimation in Model Mismatch. CoRR abs/2305.08207 (2023) - [i68]Haobo Chen, Yuheng Bu, Gregory W. Wornell:
SGLD-Based Information Criteria and the Over-Parameterized Regime. CoRR abs/2306.05583 (2023) - [i67]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 abs/2306.14411 (2023) - [i66]Abhin Shah, Devavrat Shah, Gregory W. Wornell:
On Computationally Efficient Learning of Exponential Family Distributions. CoRR abs/2309.06413 (2023) - 2022
- [j71]Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, Gregory W. Wornell:
An Information Theoretic Interpretation to Deep Neural Networks. Entropy 24(1): 135 (2022) - [j70]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): 461 (2022) - [j69]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: 3090-3106 (2022) - [j68]Amir Weiss, Everest W. Huang, Or Ordentlich, Gregory W. Wornell:
Blind Modulo Analog-to-Digital Conversion. IEEE Trans. Signal Process. 70: 4586-4601 (2022) - [c139]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: 8673-8699 - [c138]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: 2296-2302 - [c137]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: 3523-3527 - [c136]Amir Weiss, Everest W. Huang, Or Ordentlich, Gregory W. Wornell:
Blind Modulo Analog-to-Digital Conversion of Vector Processes. ICASSP 2022: 5617-5621 - [c135]Abhin Shah, Yuheng Bu, Joshua K. Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell:
Selective Regression under Fairness Criteria. ICML 2022: 19598-19615 - [c134]Gholamali Aminian, Yuheng Bu, Gregory W. Wornell, Miguel R. D. Rodrigues:
Tighter Expected Generalization Error Bounds via Convexity of Information Measures. ISIT 2022: 2481-2486 - [c133]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: 1-6 - [c132]Amir Weiss, Toros Arikan, Gregory W. Wornell:
Direct Localization in Underwater Acoustics Via Convolutional Neural Networks: A Data-Driven Approach. MLSP 2022: 1-6 - [i65]Maohao Shen, Yuheng Bu, Gregory W. Wornell:
On the Benefits of Selectivity in Pseudo-Labeling for Unsupervised Multi-Source-Free Domain Adaptation. CoRR abs/2202.00796 (2022) - [i64]Gholamali Aminian, Yuheng Bu, Gregory W. Wornell, Miguel R. D. Rodrigues:
Tighter Expected Generalization Error Bounds via Convexity of Information Measures. CoRR abs/2202.12150 (2022) - [i63]Amir Weiss, Toros Arikan, Gregory W. Wornell:
Direct Localization in Underwater Acoustics via Convolutional Neural Networks: A Data-Driven Approach. CoRR abs/2207.10222 (2022) - [i62]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 abs/2208.10325 (2022) - [i61]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 abs/2209.04871 (2022) - [i60]Safa C. Medin, Amir Weiss, Frédo Durand, William T. Freeman, Gregory W. Wornell:
Can Shadows Reveal Biometric Information? CoRR abs/2209.10077 (2022) - [i59]Gholamali Aminian, Yuheng Bu, Laura Toni, Miguel R. D. Rodrigues, Gregory W. Wornell:
Information-theoretic Characterizations of Generalization Error for the Gibbs Algorithm. CoRR abs/2210.09864 (2022) - [i58]Abhin Shah, Raaz Dwivedi, Devavrat Shah, Gregory W. Wornell:
On counterfactual inference with unobserved confounding. CoRR abs/2211.08209 (2022) - [i57]Maohao Shen, Yuheng Bu, Prasanna Sattigeri, Soumya Ghosh, Subhro Das, Gregory W. Wornell:
Post-hoc Uncertainty Learning using a Dirichlet Meta-Model. CoRR abs/2212.07359 (2022) - 2021
- [c131]Abhin Shah, Devavrat Shah, Gregory W. Wornell:
On Learning Continuous Pairwise Markov Random Fields. AISTATS 2021: 1153-1161 - [c130]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: 2310-2319 - [c129]Joshua K. Lee, Yuheng Bu, Deepta Rajan, Prasanna Sattigeri, Rameswar Panda, Subhro Das, Gregory W. Wornell:
Fair Selective Classification Via Sufficiency. ICML 2021: 6076-6086 - [c128]Yuheng Bu, Tony Wang, Gregory W. Wornell:
SDP Methods for Sensitivity-Constrained Privacy Funnel and Information Bottleneck Problems. ISIT 2021: 49-54 - [c127]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: 8106-8118 - [c126]Abhin Shah, Devavrat Shah, Gregory W. Wornell:
A Computationally Efficient Method for Learning Exponential Family Distributions. NeurIPS 2021: 15841-15854 - [c125]Amir Weiss, Gregory W. Wornell:
One-Bit Direct Position Determination of Narrowband Gaussian Signals. SSP 2021: 466-470 - [i56]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 abs/2107.13656 (2021) - [i55]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 abs/2108.13027 (2021) - [i54]Amir Weiss, Everest W. Huang, Or Ordentlich, Gregory W. Wornell:
Blind Modulo Analog-to-Digital Conversion of Vector Processes. CoRR abs/2110.06183 (2021) - [i53]Abhin Shah, Devavrat Shah, Gregory W. Wornell:
A Computationally Efficient Method for Learning Exponential Family Distributions. CoRR abs/2110.15397 (2021) - [i52]Abhin Shah, Yuheng Bu, Joshua Ka-Wing Lee, Subhro Das, Rameswar Panda, Prasanna Sattigeri, Gregory W. Wornell:
Selective Regression Under Fairness Criteria. CoRR abs/2110.15403 (2021) - [i51]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 abs/2111.01635 (2021) - 2020
- [j67]Amichai Painsky, Gregory W. Wornell:
Bregman Divergence Bounds and Universality Properties of the Logarithmic Loss. IEEE Trans. Inf. Theory 66(3): 1658-1673 (2020) - [c124]Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell:
A Local Characterization for Wyner Common Information. ISIT 2020: 2252-2257 - [c123]Anuran Makur, Gregory W. Wornell, Lizhong Zheng:
On Estimation of Modal Decompositions. ISIT 2020: 2717-2722 - [i50]Abhin Shah, Devavrat Shah, Gregory W. Wornell:
On Learning Continuous Pairwise Markov Random Fields. CoRR abs/2010.15031 (2020) - [i49]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 abs/2012.15259 (2020)
2010 – 2019
- 2019
- [j66]Gal Shulkind, Stefanie Jegelka, Gregory W. Wornell:
Sensor Array Design Through Submodular Optimization. IEEE Trans. Inf. Theory 65(1): 664-675 (2019) - [j65]Da Wang, Gauri Joshi, Gregory W. Wornell:
Efficient Straggler Replication in Large-Scale Parallel Computing. ACM Trans. Model. Perform. Evaluation Comput. Syst. 4(2): 7:1-7:23 (2019) - [c122]Adam B. Yedidia, Manel Baradad, Christos Thrampoulidis, William T. Freeman, Gregory W. Wornell:
Using Unknown Occluders to Recover Hidden Scenes. CVPR 2019: 12231-12239 - [c121]Gary C. F. Lee, Ankit Singh Rawat, Gregory W. Wornell:
Robust Direction of Arrival Estimation in the Presence of Array Faults using Snapshot Diversity. GlobalSIP 2019: 1-5 - [c120]Ganesh Ajjanagadde, Christos Thrampoulidis, Adam B. Yedidia, Gregory W. Wornell:
Near-optimal Coded Apertures for Imaging via Nazarov's Theorem. ICASSP 2019: 7690-7694 - [c119]Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell:
An Information Theoretic Interpretation to Deep Neural Networks. ISIT 2019: 1984-1988 - [c118]Joshua K. Lee, Prasanna Sattigeri, Gregory W. Wornell:
Learning New Tricks From Old Dogs: Multi-Source Transfer Learning From Pre-Trained Networks. NeurIPS 2019: 4372-4382 - [c117]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: 14311-14321 - [i48]Shao-Lun Huang, Xiangxiang Xu, Lizhong Zheng, Gregory W. Wornell:
An Information Theoretic Interpretation to Deep Neural Networks. CoRR abs/1905.06600 (2019) - [i47]Uri Erez, Gregory W. Wornell:
Super-Nyquist Rateless Coding for Intersymbol Interference Channels. CoRR abs/1911.08034 (2019) - [i46]Shao-Lun Huang, Anuran Makur, Gregory W. Wornell, Lizhong Zheng:
On Universal Features for High-Dimensional Learning and Inference. CoRR abs/1911.09105 (2019) - [i45]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 abs/1912.02314 (2019) - 2018
- [j64]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): 825-840 (2018) - [j63]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): 419-431 (2018) - [j62]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): 2310-2319 (2018) - [j61]Jennifer Tang, Da Wang, Yury Polyanskiy, Gregory W. Wornell:
Defect Tolerance: Fundamental Limits and Examples. IEEE Trans. Inf. Theory 64(7): 5240-5260 (2018) - [c116]Manel Baradad, Vickie Ye, Adam B. Yedidia, Frédo Durand, William T. Freeman, Gregory W. Wornell, Antonio Torralba:
Inferring Light Fields From Shadows. CVPR 2018: 6267-6275 - [c115]Adam B. Yedidia, Christos Thrampoulidis, Gregory W. Wornell:
Analysis and Optimization of Aperture Design in Computational Imaging. ICASSP 2018: 4029-4033 - [c114]Amichai Painsky, Gregory W. Wornell:
On the Universality of the Logistic Loss Function. ISIT 2018: 936-940 - [c113]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: 560-567 - [c112]Shao-Lun Huang, Gregory W. Wornell, Lizhong Zheng:
Gaussian Universal Features, Canonical Correlations, and Common Information. ITW 2018: 1-5 - [c111]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: 9367-9378 - [i44]Amichai Painsky, Gregory W. Wornell:
On the Universality of the Logistic Loss Function. CoRR abs/1805.03804 (2018) - [i43]Or Ordentlich, Gizem Tabak, Pavan Kumar Hanumolu, Andrew C. Singer, Gregory W. Wornell:
A Modulo-Based Architecture for Analog-to-Digital Conversion. CoRR abs/1806.08968 (2018) - [i42]Amichai Painsky, Gregory W. Wornell:
Bregman Divergence Bounds and the Universality of the Logarithmic Loss. CoRR abs/1810.07014 (2018) - [i41]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 abs/1811.05443 (2018) - 2017
- [j60]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): 12:1-12:30 (2017) - [c110]Gal Shulkind, Stefanie Jegelka, Gregory W. Wornell:
Multiple wavelength sensing array design. ICASSP 2017: 3424-3428 - [c109]Katherine L. Bouman, Vickie Ye, Adam B. Yedidia, Frédo Durand, Gregory W. Wornell, Antonio Torralba, William T. Freeman:
Turning Corners into Cameras: Principles and Methods. ICCV 2017: 2289-2297 - [c108]Shao-Lun Huang, Anuran Makur, Lizhong Zheng, Gregory W. Wornell:
An information-theoretic approach to universal feature selection in high-dimensional inference. ISIT 2017: 1336-1340 - [c107]Si-Hyeon Lee, Ligong Wang, Ashish Khisti, Gregory W. Wornell:
Covert communication with noncausal channel-state information at the transmitter. ISIT 2017: 2830-2834 - [i40]Gal Shulkind, Stefanie Jegelka, Gregory W. Wornell:
Sensor Array Design Through Submodular Optimization. CoRR abs/1705.06616 (2017) - [i39]Xu Chen, Dongning Guo, Gregory W. Wornell:
Sparse OFDM: A Compressive Sensing Approach to Asynchronous Neighbor Discovery. CoRR abs/1706.09387 (2017) - [i38]Si-Hyeon Lee, Ligong Wang, Ashish Khisti, Gregory W. Wornell:
Covert Communication with Channel-State Information at the Transmitter. CoRR abs/1708.02501 (2017) - 2016
- [j59]Ligong Wang, Gregory W. Wornell, Lizhong Zheng:
Fundamental Limits of Communication With Low Probability of Detection. IEEE Trans. Inf. Theory 62(6): 3493-3503 (2016) - [j58]Anatoly Khina, Yuval Kochman, Uri Erez, Gregory W. Wornell:
Decode-and-Forward Relaying via Standard AWGN Coding and Decoding. IEEE Trans. Inf. Theory 62(6): 3547-3560 (2016) - [c106]Qing He, Gregory W. Wornell, Wei Ma:
An Adaptive Multi-Band System for Low Power Voice Command Recognition. INTERSPEECH 2016: 1888-1892 - [c105]Jennifer Tang, Da Wang, Yury Polyanskiy, Gregory W. Wornell:
Defect tolerance: Fundamental limits and examples. ISIT 2016: 3028-3032 - [c104]Yuval Kochman, Gregory W. Wornell:
The dispersion of the mean excess distortion. ITW 2016: 439-443 - [c103]Qing He, Gregory W. Wornell, Wei Ma:
A Low-Power Text-Dependent Speaker Verification System with Narrow-Band Feature Pre-Selection and Weighted Dynamic Time Warping. Odyssey 2016: 1-8 - [i37]Jennifer Tang, Da Wang, Yury Polyanskiy, Gregory W. Wornell:
Defect tolerance: fundamental limits and examples. CoRR abs/1610.02578 (2016) - 2015
- [j57]Hongchao Zhou, Yuval Kochman, Gregory W. Wornell:
On-Off Keying Communication Over Optical Channels With Crosstalk. IEEE J. Sel. Areas Commun. 33(9): 1855-1868 (2015) - [j56]Gauri Joshi, Emina Soljanin, Gregory W. Wornell:
Queues with Redundancy: Latency-Cost Analysis. SIGMETRICS Perform. Evaluation Rev. 43(2): 54-56 (2015) - [j55]Da Wang, Gauri Joshi, Gregory W. Wornell:
Using Straggler Replication to Reduce Latency in Large-scale Parallel Computing. SIGMETRICS Perform. Evaluation Rev. 43(3): 7-11 (2015) - [j54]Da Wang, Arya Mazumdar, Gregory W. Wornell:
Compression in the Space of Permutations. IEEE Trans. Inf. Theory 61(12): 6417-6431 (2015) - [c102]Gauri Joshi, Emina Soljanin, Gregory W. Wornell:
Efficient replication of queued tasks for latency reduction in cloud systems. Allerton 2015: 107-114 - [c101]Yuval Kochman, Gregory W. Wornell:
Excess distortion in lossy compression: Beyond one-shot analysis. Allerton 2015: 928-934 - [c100]Ying-Zong Huang, Gregory W. Wornell:
Practical Compression with Model-Code Separation. DCC 2015: 451 - [c99]Kaveh Mahdaviani, Ashish Khisti, Gauri Joshi, Gregory W. Wornell:
Playback delay in on-demand streaming communication with feedback. ISIT 2015: 2281-2285 - [c98]Ligong Wang, Gregory W. Wornell, Lizhong Zheng:
Limits of low-probability-of-detection communication over a discrete memoryless channel. ISIT 2015: 2525-2529 - [c97]Arya Mazumdar, Venkat Chandar, Gregory W. Wornell:
Local recovery in data compression for general sources. ISIT 2015: 2984-2988 - [c96]Ying-zong Huang, Gregory W. Wornell:
Separation architectures for lossy compression. ITW 2015: 1-5 - [i36]Da Wang, Gauri Joshi, Gregory W. Wornell:
Using Straggler Replication to Reduce Latency in Large-scale Parallel Computing (Extended Version). CoRR abs/1503.03128 (2015) - [i35]Ligong Wang, Gregory W. Wornell, Lizhong Zheng:
Fundamental Limits of Communication with Low Probability of Detection. CoRR abs/1506.03236 (2015) - [i34]Gauri Joshi, Emina Soljanin, Gregory W. Wornell:
Efficient Redundancy Techniques for Latency Reduction in Cloud Systems. CoRR abs/1508.03599 (2015) - [i33]Gauri Joshi, Emina Soljanin, Gregory W. Wornell:
Efficient Replication of Queued Tasks for Latency Reduction in Cloud Systems. CoRR abs/1510.04731 (2015) - [i32]Gauri Joshi, Yuval Kochman, Gregory W. Wornell:
On Throughput-Smoothness Trade-offs in Streaming Communication. CoRR abs/1511.08143 (2015) - 2014
- [j53]Arya Mazumdar, Venkat Chandar, Gregory W. Wornell:
Update-Efficiency and Local Repairability Limits for Capacity Approaching Codes. IEEE J. Sel. Areas Commun. 32(5): 976-988 (2014) - [j52]Ligong Wang, Gregory W. Wornell:
A Refined Analysis of the Poisson Channel in the High-Photon-Efficiency Regime. IEEE Trans. Inf. Theory 60(7): 4299-4311 (2014) - [j51]Yuval Kochman, Ligong Wang, Gregory W. Wornell:
Toward Photon-Efficient Key Distribution Over Optical Channels. IEEE Trans. Inf. Theory 60(8): 4958-4972 (2014) - [j50]Yuval Kochman, Ligong Wang, Gregory W. Wornell:
Correction to "Toward Photon-Efficient Key Distribution over Optical Channels". IEEE Trans. Inf. Theory 60(9): 5805 (2014) - [c95]Gauri Joshi, Yuval Kochman, Gregory W. Wornell:
The effect of block-wise feedback on the throughput-delay trade-off in streaming. INFOCOM Workshops 2014: 227-232 - [c94]