Dimitris S. Papailiopoulos

122 papers A* 20A 4B 10Misc 3Journal 69Unranked 15

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Cuttlefish: Low-Rank Model Training without All the Tuning. CoRR Hongyi Wang, Saurabh Agarwal, Pongsakorn U.-Chupala, Yoshiki Tanaka, Eric P. Xing, Dimitris S. Papailiopoulos
2023	J	`jnl`	Dissecting Chain-of-Thought: A Study on Compositional In-Context Learning of MLPs. CoRR Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris S. Papailiopoulos, Samet Oymak
2023	J	`jnl`	Looped Transformers as Programmable Computers. CoRR Angeliki Giannou, Shashank Rajput, Jy-yong Sohn, Kangwook Lee, Jason D. Lee, Dimitris S. Papailiopoulos
2023	J	`jnl`	Predictive Pipelined Decoding: A Compute-Latency Trade-off for Exact LLM Decoding. CoRR Seongjun Yang, Gibbeum Lee, Jaewoong Cho, Dimitris S. Papailiopoulos, Kangwook Lee
2023	J	`jnl`	The Expressive Power of Tuning Only the Norm Layers. CoRR Angeliki Giannou, Shashank Rajput, Dimitris S. Papailiopoulos
2023	J	`jnl`	Transformers as Algorithms: Generalization and Implicit Model Selection in In-context Learning. CoRR Yingcong Li, Muhammed Emrullah Ildiz, Dimitris S. Papailiopoulos, Samet Oymak
2022	J	`jnl`	A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets. CoRR Liu Yang, Jifan Zhang, Joseph Shenouda, Dimitris S. Papailiopoulos, Kangwook Lee, Robert D. Nowak
2022	A	`conf`	Finding Nearly Everything within Random Binary Networks. AISTATS Kartik Sreenivasan, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos
2022	A*	`conf`	GenLabel: Mixup Relabeling using Generative Models. ICML Jy-yong Sohn, Liang Shang, Hongxu Chen, Jaekyun Moon, Dimitris S. Papailiopoulos, Kangwook Lee
2022	J	`jnl`	GenLabel: Mixup Relabeling using Generative Models. CoRR Jy-yong Sohn, Liang Shang, Hongxu Chen, Jaekyun Moon, Dimitris S. Papailiopoulos, Kangwook Lee
2022	J	`jnl`	LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks. CoRR Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee
2022	A*	`conf`	LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks. NeurIPS Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee
2022	—	`conf`	On the Utility of Gradient Compression in Distributed Training Systems. MLSys Saurabh Agarwal, Hongyi Wang, Shivaram Venkataraman, Dimitris S. Papailiopoulos
2022	A*	`conf`	Permutation-Based SGD: Is Random Optimal? ICLR Shashank Rajput, Kangwook Lee, Dimitris S. Papailiopoulos
2022	A*	`conf`	Rare Gems: Finding Lottery Tickets at Initialization. NeurIPS Kartik Sreenivasan, Jy-yong Sohn, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Eric P. Xing, Kangwook Lee, Dimitris S. Papailiopoulos
2022	J	`jnl`	Rare Gems: Finding Lottery Tickets at Initialization. CoRR Kartik Sreenivasan, Jy-yong Sohn, Liu Yang, Matthew Grinde, Alliot Nagle, Hongyi Wang, Kangwook Lee, Dimitris S. Papailiopoulos
2022	—	`conf`	Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. EMNLP (Findings) Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee
2022	J	`jnl`	Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. CoRR Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee
2021	—	`conf`	Adaptive Gradient Communication via Critical Learning Regime Identification. MLSys Saurabh Agarwal, Hongyi Wang, Kangwook Lee, Shivaram Venkataraman, Dimitris S. Papailiopoulos
2021	A*	`conf`	An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks. NeurIPS Shashank Rajput, Kartik Sreenivasan, Dimitris S. Papailiopoulos, Amin Karbasi
2021	J	`jnl`	An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks. CoRR Shashank Rajput, Kartik Sreenivasan, Dimitris S. Papailiopoulos, Amin Karbasi
2021	J	`jnl`	Finding Everything within Random Binary Networks. CoRR Kartik Sreenivasan, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos
2021	J	`jnl`	On the Utility of Gradient Compression in Distributed Training Systems. CoRR Saurabh Agarwal, Hongyi Wang, Shivaram Venkataraman, Dimitris S. Papailiopoulos
2021	J	`jnl`	Permutation-Based SGD: Is Random Optimal? CoRR Shashank Rajput, Kangwook Lee, Dimitris S. Papailiopoulos
2021	—	`conf`	Pufferfish: Communication-efficient Models At No Extra Cost. MLSys Hongyi Wang, Saurabh Agarwal, Dimitris S. Papailiopoulos
2021	J	`jnl`	Pufferfish: Communication-efficient Models At No Extra Cost. CoRR Hongyi Wang, Saurabh Agarwal, Dimitris S. Papailiopoulos
2020	J	`jnl`	Accordion: Adaptive Gradient Communication via Critical Learning Regime Identification. CoRR Saurabh Agarwal, Hongyi Wang, Kangwook Lee, Shivaram Venkataraman, Dimitris S. Papailiopoulos
2020	A*	`conf`	Attack of the Tails: Yes, You Really Can Backdoor Federated Learning. NeurIPS Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris S. Papailiopoulos
2020	J	`jnl`	Attack of the Tails: Yes, You Really Can Backdoor Federated Learning. CoRR Hongyi Wang, Kartik Sreenivasan, Shashank Rajput, Harit Vishwakarma, Saurabh Agarwal, Jy-yong Sohn, Kangwook Lee, Dimitris S. Papailiopoulos
2020	A*	`conf`	Bad Global Minima Exist and SGD Can Reach Them. NeurIPS Shengchao Liu, Dimitris S. Papailiopoulos, Dimitris Achlioptas
2020	A*	`conf`	Closing the convergence gap of SGD without replacement. ICML Shashank Rajput, Anant Gupta, Dimitris S. Papailiopoulos
2020	J	`jnl`	Closing the convergence gap of SGD without replacement. CoRR Shashank Rajput, Anant Gupta, Dimitris S. Papailiopoulos
2020	A*	`conf`	Federated Learning with Matched Averaging. ICLR Hongyi Wang, Mikhail Yurochkin, Yuekai Sun, Dimitris S. Papailiopoulos, Yasaman Khazaeni
2020	J	`jnl`	Federated Learning with Matched Averaging. CoRR Hongyi Wang, Mikhail Yurochkin, Yuekai Sun, Dimitris S. Papailiopoulos, Yasaman Khazaeni
2020	J	`jnl`	Machine Learning From Distributed, Streaming Data [From the Guest Editors]. IEEE Signal Process. Mag. Waheed U. Bajwa, Volkan Cevher, Dimitris S. Papailiopoulos, Anna Scaglione
2020	A*	`conf`	Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient. NeurIPS Ankit Pensia, Shashank Rajput, Alliot Nagle, Harit Vishwakarma, Dimitris S. Papailiopoulos
2020	J	`jnl`	Optimal Lottery Tickets via SubsetSum: Logarithmic Over-Parameterization is Sufficient. CoRR Ankit Pensia, Shashank Rajput, Alliot Nagle, Harit Vishwakarma, Dimitris S. Papailiopoulos
2020	—	`ed.`	Proceedings of the Third Conference on Machine Learning and Systems, MLSys 2020, Austin, TX, USA, March 2-4, 2020 MLSys Inderjit S. Dhillon, Dimitris S. Papailiopoulos, Vivienne Sze
2019	A	`conf`	A Geometric Perspective on the Transferability of Adversarial Directions. AISTATS Zachary Charles, Harrison Rosenberg, Dimitris S. Papailiopoulos
2019	J	`jnl`	Bad Global Minima Exist and SGD Can Reach Them. CoRR Shengchao Liu, Dimitris S. Papailiopoulos, Dimitris Achlioptas
2019	J	`jnl`	Convergence and Margin of Adversarial Training on Separable Data. CoRR Zachary Charles, Shashank Rajput, Stephen J. Wright, Dimitris S. Papailiopoulos
2019	A*	`conf`	DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation. NeurIPS Shashank Rajput, Hongyi Wang, Zachary Charles, Dimitris S. Papailiopoulos
2019	J	`jnl`	DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation. CoRR Shashank Rajput, Hongyi Wang, Zachary Charles, Dimitris S. Papailiopoulos
2019	A*	`conf`	Does Data Augmentation Lead to Positive Margin? ICML Shashank Rajput, Zhili Feng, Zachary Charles, Po-Ling Loh, Dimitris S. Papailiopoulos
2019	J	`jnl`	Does Data Augmentation Lead to Positive Margin? CoRR Shashank Rajput, Zhili Feng, Zachary Charles, Po-Ling Loh, Dimitris S. Papailiopoulos
2019	J	`jnl`	ErasureHead: Distributed Gradient Descent without Delays Using Approximate Gradient Coding. CoRR Hongyi Wang, Zachary Charles, Dimitris S. Papailiopoulos
2019	J	`jnl`	SysML: The New Frontier of Machine Learning Systems. CoRR Alexander Ratner, Dan Alistarh, Gustavo Alonso, David G. Andersen, Peter Bailis, Sarah Bird, Nicholas Carlini, Bryan Catanzaro, Eric S. Chung, Bill Dally, Jeff Dean, Inderjit S. Dhillon, Alexandros G. Dimakis, Pradeep Dubey, Charles Elkan, Grigori Fursin, Gregory R. Ganger, Lise Getoor, Phillip B. Gibbons, Garth A. Gibson, Joseph E. Gonzalez, Justin Gottschlich, Song Han, Kim M. Hazelwood, Furong Huang, Martin Jaggi, Kevin Jamieson, Michael I. Jordan, Gauri Joshi, Rania Khalaf, Jason Knight, Jakub Konecný, Tim Kraska, Arun Kumar, Anastasios Kyrillidis, Jing Li, Samuel Madden, H. Brendan McMahan, Erik Meijer, Ioannis Mitliagkas, Rajat Monga, Derek Gordon Murray, Dimitris S. Papailiopoulos, Gennady Pekhimenko, Theodoros Rekatsinas, Afshin Rostamizadeh, Christopher Ré, Christopher De Sa, Hanie Sedghi, Siddhartha Sen, Virginia Smith, Alex Smola, Dawn Song, Evan Randall Sparks, Ion Stoica, Vivienne Sze, Madeleine Udell, Joaquin Vanschoren, Shivaram Venkataraman, Rashmi Vinayak, Markus Weimer, Andrew Gordon Wilson, Eric P. Xing, Matei Zaharia, Ce Zhang, Ameet Talwalkar
2018	J	`jnl`	A Geometric Perspective on the Transferability of Adversarial Directions. CoRR Zachary Charles, Harrison Rosenberg, Dimitris S. Papailiopoulos
2018	A*	`conf`	ATOMO: Communication-efficient Learning via Atomic Sparsification. NeurIPS Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary Charles, Dimitris S. Papailiopoulos, Stephen J. Wright
2018	J	`jnl`	ATOMO: Communication-efficient Learning via Atomic Sparsification. CoRR Hongyi Wang, Scott Sievert, Shengchao Liu, Zachary Charles, Dimitris S. Papailiopoulos, Stephen J. Wright
2018	J	`jnl`	Coding Theory for Inference, Learning and Optimization (Dagstuhl Seminar 18112). Dagstuhl Reports Po-Ling Loh, Arya Mazumdar, Dimitris S. Papailiopoulos, Rüdiger L. Urbanke
2018	A*	`conf`	DRACO: Byzantine-resilient Distributed Training via Redundant Gradients. ICML Lingjiao Chen, Hongyi Wang, Zachary Charles, Dimitris S. Papailiopoulos
2018	J	`jnl`	DRACO: Robust Distributed Training via Redundant Gradients. CoRR Lingjiao Chen, Hongyi Wang, Zachary Charles, Dimitris S. Papailiopoulos
2018	B	`conf`	Gradient Coding Using the Stochastic Block Model. ISIT Zachary Charles, Dimitris S. Papailiopoulos
2018	J	`jnl`	Gradient Coding via the Stochastic Block Model. CoRR Zachary Charles, Dimitris S. Papailiopoulos
2018	A	`conf`	Gradient Diversity: a Key Ingredient for Scalable Distributed Learning. AISTATS Dong Yin, Ashwin Pananjady, Maximilian Lam, Dimitris S. Papailiopoulos, Kannan Ramchandran, Peter L. Bartlett
2018	J	`jnl`	Speeding Up Distributed Machine Learning Using Codes. IEEE Trans. Inf. Theory Kangwook Lee, Maximilian Lam, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran
2018	A*	`conf`	Stability and Generalization of Learning Algorithms that Converge to Global Optima. ICML Zachary Charles, Dimitris S. Papailiopoulos
2018	A*	`conf`	The Effect of Network Width on the Performance of Large-batch Training. NeurIPS Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris S. Papailiopoulos, Paraschos Koutris
2018	J	`jnl`	The Effect of Network Width on the Performance of Large-batch Training. CoRR Lingjiao Chen, Hongyi Wang, Jinman Zhao, Dimitris S. Papailiopoulos, Paraschos Koutris
2017	J	`jnl`	Approximate Gradient Coding via Sparse Random Graphs. CoRR Zachary Charles, Dimitris S. Papailiopoulos, Jordan S. Ellenberg
2017	B	`conf`	Coded computation for multicore setups. ISIT Kangwook Lee, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran
2017	J	`jnl`	Gradient Diversity Empowers Distributed Learning. CoRR Dong Yin, Ashwin Pananjady, Maximilian Lam, Dimitris S. Papailiopoulos, Kannan Ramchandran, Peter L. Bartlett
2017	J	`jnl`	Perturbed Iterate Analysis for Asynchronous Stochastic Optimization. SIAM J. Optim. Horia Mania, Xinghao Pan, Dimitris S. Papailiopoulos, Benjamin Recht, Kannan Ramchandran, Michael I. Jordan
2017	J	`jnl`	Stability and Generalization of Learning Algorithms that Converge to Global Optima. CoRR Zachary Charles, Dimitris S. Papailiopoulos
2016	J	`jnl`	Bipartite Correlation Clustering - Maximizing Agreements. CoRR Megasthenis Asteris, Anastasios Kyrillidis, Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2016	A	`conf`	Bipartite Correlation Clustering: Maximizing Agreements. AISTATS Megasthenis Asteris, Anastasios Kyrillidis, Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2016	J	`jnl`	CYCLADES: Conflict-free Asynchronous Machine Learning. CoRR Xinghao Pan, Maximilian Lam, Stephen Tu, Dimitris S. Papailiopoulos, Ce Zhang, Michael I. Jordan, Kannan Ramchandran, Christopher Ré, Benjamin Recht
2016	J	`jnl`	Locality and Availability in Distributed Storage. IEEE Trans. Inf. Theory Ankit Singh Rawat, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Sriram Vishwanath
2016	J	`jnl`	Optimal Locally Repairable Codes and Connections to Matroid Theory. IEEE Trans. Inf. Theory Itzhak Tamo, Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2016	B	`conf`	Speeding up distributed machine learning using codes. ISIT Kangwook Lee, Maximilian Lam, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran
2015	J	`jnl`	On the Worst-Case Approximability of Sparse PCA. CoRR Siu On Chan, Dimitris S. Papailiopoulos, Aviad Rubinstein
2015	—	`conf`	Orthogonal NMF through Subspace Exploration. NIPS Megasthenis Asteris, Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2015	—	`conf`	Parallel Correlation Clustering on Big Graphs. NIPS Xinghao Pan, Dimitris S. Papailiopoulos, Samet Oymak, Benjamin Recht, Kannan Ramchandran, Michael I. Jordan
2015	J	`jnl`	Parallel Correlation Clustering on Big Graphs. CoRR Xinghao Pan, Dimitris S. Papailiopoulos, Samet Oymak, Benjamin Recht, Kannan Ramchandran, Michael I. Jordan
2015	J	`jnl`	Perturbed Iterate Analysis for Asynchronous Stochastic Optimization. CoRR Horia Mania, Xinghao Pan, Dimitris S. Papailiopoulos, Benjamin Recht, Kannan Ramchandran, Michael I. Jordan
2015	—	`conf`	Sparse PCA via Bipartite Matchings. NIPS Megasthenis Asteris, Dimitris S. Papailiopoulos, Anastasios Kyrillidis, Alexandros G. Dimakis
2015	J	`jnl`	Sparse PCA via Bipartite Matchings. CoRR Megasthenis Asteris, Dimitris S. Papailiopoulos, Anastasios Kyrillidis, Alexandros G. Dimakis
2015	J	`jnl`	Speeding Up Distributed Machine Learning Using Codes. CoRR Kangwook Lee, Maximilian Lam, Ramtin Pedarsani, Dimitris S. Papailiopoulos, Kannan Ramchandran
2014	J	`jnl`	A Repair Framework for Scalar MDS Codes. IEEE J. Sel. Areas Commun. Karthikeyan Shanmugam, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Giuseppe Caire
2014	Misc	`conf`	Combinatorial QPs via a low-dimensional subspace sampling. CISS Dimitris S. Papailiopoulos, Megasthenis Asteris, Alexandros G. Dimakis
2014	A*	`conf`	Finding Dense Subgraphs via Low-Rank Bilinear Optimization. ICML Dimitris S. Papailiopoulos, Ioannis Mitliagkas, Alexandros G. Dimakis, Constantine Caramanis
2014	J	`jnl`	Locality and Availability in Distributed Storage. CoRR Ankit Singh Rawat, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Sriram Vishwanath
2014	B	`conf`	Locality and availability in distributed storage. ISIT Ankit Singh Rawat, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Sriram Vishwanath
2014	J	`jnl`	Locally Repairable Codes. IEEE Trans. Inf. Theory Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2014	A*	`conf`	Nonnegative Sparse PCA with Provable Guarantees. ICML Megasthenis Asteris, Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2014	—	`conf`	On codes with availability for distributed storage. ISCCSP Ankit Singh Rawat, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Sriram Vishwanath
2014	J	`jnl`	Provable Deterministic Leverage Score Sampling. CoRR Dimitris S. Papailiopoulos, Anastasios Kyrillidis, Christos Boutsidis
2014	A*	`conf`	Provable deterministic leverage score sampling. KDD Dimitris S. Papailiopoulos, Anastasios Kyrillidis, Christos Boutsidis
2014	J	`jnl`	The Sparse Principal Component of a Constant-Rank Matrix. IEEE Trans. Inf. Theory Megasthenis Asteris, Dimitris S. Papailiopoulos, George N. Karystinos
2013	J	`jnl`	A Repair Framework for Scalar MDS Codes. CoRR Karthikeyan Shanmugam, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Giuseppe Caire
2013	—	`conf`	Availability and locality in distributed storage. GlobalSIP Ankit Singh Rawat, Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2013	J	`jnl`	Maximum-Likelihood Noncoherent PAM Detection. IEEE Trans. Commun. Dimitris S. Papailiopoulos, Georgina Abou Elkheir, George N. Karystinos
2013	J	`jnl`	Optimal Locally Repairable Codes and Connections to Matroid Theory CoRR Itzhak Tamo, Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2013	B	`conf`	Optimal locally repairable codes and connections to matroid theory. ISIT Itzhak Tamo, Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2013	J	`jnl`	Sparse PCA through Low-rank Approximations CoRR Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Stavros Korokythakis
2013	—	`conf`	Sparse PCA through Low-rank Approximations. ICML (3) Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Stavros Korokythakis
2013	J	`jnl`	The Sparse Principal Component of a Constant-rank Matrix. CoRR Megasthenis Asteris, Dimitris S. Papailiopoulos, George N. Karystinos
2013	J	`jnl`	XORing Elephants: Novel Erasure Codes for Big Data CoRR Maheswaran Sathiamoorthy, Megasthenis Asteris, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Ramkumar Vadali, Scott Chen, Dhruba Borthakur
2013	J	`jnl`	XORing Elephants: Novel Erasure Codes for Big Data. Proc. VLDB Endow. Maheswaran Sathiamoorthy, Megasthenis Asteris, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Ramkumar Vadali, Scott Chen, Dhruba Borthakur
2012	—	`conf`	A repair framework for scalar MDS codes. Allerton Conference Karthikeyan Shanmugam, Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Giuseppe Caire
2012	B	`conf`	Feedback in the K-user interference channel. ISIT Dimitris S. Papailiopoulos, Changho Suh, Alexandros G. Dimakis
2012	J	`jnl`	Interference Alignment as a Rank Constrained Rank Minimization. IEEE Trans. Signal Process. Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2012	J	`jnl`	Locally Repairable Codes CoRR Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2012	B	`conf`	Locally repairable codes. ISIT Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2012	—	`conf`	Maximum-likelihood blind PAM detection. ICC Dimitris S. Papailiopoulos, Georgina Abou Elkheir, George N. Karystinos
2012	A*	`conf`	Simple regenerating codes: Network coding for cloud storage. INFOCOM Dimitris S. Papailiopoulos, Jianqiang Luo, Alexandros G. Dimakis, Cheng Huang, Jin Li
2011	J	`jnl`	Distributed Storage Codes through Hadamard Designs CoRR Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2011	B	`conf`	Distributed storage codes through Hadamard designs. ISIT Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2011	J	`jnl`	Repair Optimal Erasure Codes through Hadamard Designs CoRR Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Viveck R. Cadambe
2011	—	`conf`	Repair optimal erasure codes through hadamard designs. Allerton Dimitris S. Papailiopoulos, Alexandros G. Dimakis, Viveck R. Cadambe
2011	J	`jnl`	Simple Regenerating Codes: Network Coding for Cloud Storage CoRR Dimitris S. Papailiopoulos, Jianqiang Luo, Alexandros G. Dimakis, Cheng Huang, Jin Li
2011	J	`jnl`	Sparse Principal Component of a Rank-deficient Matrix CoRR Megasthenis Asteris, Dimitris S. Papailiopoulos, George N. Karystinos
2011	B	`conf`	Sparse principal component of a rank-deficient matrix. ISIT Megasthenis Asteris, Dimitris S. Papailiopoulos, George N. Karystinos
2010	J	`jnl`	Distributed Storage Codes Meet Multiple-Access Wiretap Channels CoRR Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2010	—	`conf`	Distributed storage codes meet multiple-access wiretap channels. Allerton Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2010	J	`jnl`	Interference Alignment as a Rank Constrained Rank Minimization CoRR Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2010	B	`conf`	Interference Alignment as a Rank Constrained Rank Minimization. GLOBECOM Dimitris S. Papailiopoulos, Alexandros G. Dimakis
2010	J	`jnl`	Maximum-likelihood noncoherent OSTBC detection with polynomial complexity. IEEE Trans. Wirel. Commun. Dimitris S. Papailiopoulos, George N. Karystinos
2008	Misc	`conf`	Efficient computation of the M-phase vector that maximizes a rank-deficient quadratic form. CISS Dimitris S. Papailiopoulos, George N. Karystinos
2008	—	`conf`	Efficient maximum-likelihood noncoherent orthogonal STBC detection. Allerton Dimitris S. Papailiopoulos, George N. Karystinos
2008	Misc	`conf`	Polynomial-complexity maximum-likelihood block noncoherent MPSK detection. ICASSP Dimitris S. Papailiopoulos, George N. Karystinos