Some advances in nonlinear speech modeling using modulations, fractals, and chaos. - Petros Maragos; Alexandros G. Dimakis; Iasonas Kokkinos (DSP, 2002)

Modeling resonances with phase modulated self-similar processes [speech processing example]. - Alexandros G. Dimakis; Petros Maragos (ICASSP (2), 2004)

Ubiquitous access to distributed data in large-scale sensor networks through decentralized erasure codes. - Alexandros G. Dimakis; Vinod M. Prabhakaran; Kannan Ramchandran (IPSN, 2005)

Phase-modulated resonances modeled as self-similar processes with application to turbulent sounds. - Alexandros G. Dimakis; Petros Maragos (IEEE Trans. Signal Process., 2005)

Distributed Fountain Codes for Networked Storage. - Alexandros G. Dimakis; Vinod M. Prabhakaran; Kannan Ramchandran (ICASSP (5), 2006)

Geographic gossip: efficient aggregation for sensor networks. - Alexandros G. Dimakis; Anand D. Sarwate; Martin J. Wainwright (IPSN, 2006)

Guessing Facets: Polytope Structure and Improved LP Decoder. - Alexandros G. Dimakis; Martin J. Wainwright (ISIT, 2006)

From Dumb Wireless Sensors to Smart Networks using Network Coding - Alexandros G. Dimakis; Dragan Petrovic; Kannan Ramchandran (CoRR, 2006)

Decentralized erasure codes for distributed networked storage. - Alexandros G. Dimakis; Vinod M. Prabhakaran; Kannan Ramchandran (IEEE Trans. Inf. Theory, 2006)

Network Coding for Distributed Storage Systems. - Alexandros G. Dimakis; Brighten Godfrey; Martin J. Wainwright; Kannan Ramchandran (INFOCOM, 2007)

Robust message-passing for statistical inference in sensor networks. - Jeremy Schiff; Dominic Antonelli; Alexandros G. Dimakis; David Chu; Martin J. Wainwright (IPSN, 2007)

Unequal Growth Codes: Intermediate Performance and Unequal Error Protection for Video Streaming. - Alexandros G. Dimakis; Jiajun Wang; Kannan Ramchandran (MMSP, 2007)

Guessing Facets: Polytope Structure and Improved LP Decoding - Alexandros G. Dimakis; Amin A. Gohari; Martin J. Wainwright (CoRR, 2007)

Connectivity and Equilibrium in Random Games - Constantinos Daskalakis; Alexandros G. Dimakis; Elchanan Mossel (CoRR, 2007)

Lower Bounds on the Rate-Distortion Function of LDGM Codes - Alexandros G. Dimakis; Martin J. Wainwright; Kannan Ramchandran (CoRR, 2008)

Probabilistic Analysis of Linear Programming Decoding. - Constantinos Daskalakis; Alexandros G. Dimakis; Richard M. Karp; Martin J. Wainwright (IEEE Trans. Inf. Theory, 2008)

Geographic Gossip: Efficient Averaging for Sensor Networks. - Alexandros G. Dimakis; Anand D. Sarwate; Martin J. Wainwright (IEEE Trans. Signal Process., 2008)

Reaching consensus in wireless networks with probabilistic broadcast. - Tuncer C. Aysal; Anand D. Sarwate; Alexandros G. Dimakis (Allerton, 2009)

LP decoding meets LP decoding: A connection between channel coding and compressed sensing. - Alexandros G. Dimakis; Pascal O. Vontobel (Allerton, 2009)

Near-Optimal Detection in MIMO Systems Using Gibbs Sampling. - Morten Hansen; Babak Hassibi; Alexandros G. Dimakis; Weiyu Xu (GLOBECOM, 2009)

Neighborhood gossip: Concurrent averaging through local interference. - Bobak Nazer; Alexandros G. Dimakis; Michael Gastpar (ICASSP, 2009)

On the delay of network coding over line networks. - Theodoros K. Dikaliotis; Alexandros G. Dimakis; Tracey Ho; Michelle Effros (ISIT, 2009)

Reducing repair traffic for erasure coding-based storage via interference alignment. - Yunnan Wu; Alexandros G. Dimakis (ISIT, 2009)

Sparse Recovery of Positive Signals with Minimal Expansion - M. Amin Khajehnejad; Alexandros G. Dimakis; Weiyu Xu; Babak Hassibi (CoRR, 2009)

Searching for Minimum Storage Regenerating Codes - Daniel Cullina; Alexandros G. Dimakis; Tracey Ho (CoRR, 2009)

Guessing facets: polytope structure and improved LP decoder. - Alexandros G. Dimakis; Amin A. Gohari; Martin J. Wainwright (IEEE Trans. Inf. Theory, 2009)

MCMC methods for integer least-squares problems. - Babak Hassibi; Alexandros G. Dimakis; Dimitris Papailiopoulos (Allerton, 2010)

Reweighted LP decoding for LDPC codes. - M. Amin Khajehnejad; Alexandros G. Dimakis; Babak Hassibi; William Bradley (Allerton, 2010)

Distributed storage codes meet multiple-access wiretap channels. - Dimitris S. Papailiopoulos; Alexandros G. Dimakis (Allerton, 2010)

Symmetric Allocations for Distributed Storage. - Derek Leong; Alexandros G. Dimakis; Tracey Ho (GLOBECOM, 2010)

Distributed Storage Allocation for High Reliability. - Derek Leong; Alexandros G. Dimakis; Tracey Ho (ICC, 2010)

Sparse recovery for discrete tomography. - Yen-ting Lin; Antonio Ortega; Alexandros G. Dimakis (ICIP, 2010)

Security in distributed storage systems by communicating a logarithmic number of bits. - Theodoros K. Dikaliotis; Alexandros G. Dimakis; Tracey Ho (ISIT, 2010)

Rebuilding for Array Codes in Distributed Storage Systems - Zhiying Wang 001; Alexandros G. Dimakis; Jehoshua Bruck (CoRR, 2010)

Gossip Algorithms for Distributed Signal Processing. - Alexandros G. Dimakis; Soummya Kar; José M. F. Moura; Michael G. Rabbat; Anna Scaglione (Proc. IEEE, 2010)

Order-optimal consensus through randomized path averaging. - Florence Bénézit; Alexandros G. Dimakis; Patrick Thiran; Martin Vetterli (IEEE Trans. Inf. Theory, 2010)

Network coding for distributed storage systems. - Alexandros G. Dimakis; Brighten Godfrey; Yunnan Wu; Martin J. Wainwright; Kannan Ramchandran (IEEE Trans. Inf. Theory, 2010)

Session TP4b: Distributed storage systems. - Alex Dimakis (ACSCC, 2011)

Wireless video content delivery through distributed caching and peer-to-peer gossiping. - Negin Golrezaei; Alexandros G. Dimakis; Andreas F. Molisch; Giuseppe Caire (ACSCC, 2011)

Level estimation for sparse reconstruction in discrete tomography. - Yen-ting Lin; Antonio Ortega; Alexandros G. Dimakis (ACSCC, 2011)

Repair optimal erasure codes through hadamard designs. - Dimitris S. Papailiopoulos; Alexandros G. Dimakis; Viveck R. Cadambe (Allerton, 2011)

Explicit matrices for sparse approximation. - M. Amin Khajehnejad; Arash Saber Tehrani; Alexandros G. Dimakis; Babak Hassibi (ISIT, 2011)

Distributed storage allocations for optimal delay. - Derek Leong; Alexandros G. Dimakis; Tracey Ho (ISIT, 2011)

Distributed storage codes through Hadamard designs. - Dimitris S. Papailiopoulos; Alexandros G. Dimakis (ISIT, 2011)

Local Interference Can Accelerate Gossip Algorithms. - Bobak Nazer; Alexandros G. Dimakis; Michael Gastpar (IEEE J. Sel. Top. Signal Process., 2011)

SigSag: Iterative Detection Through Soft Message-Passing. - Arash Saber Tehrani; Alexandros G. Dimakis; Michael J. Neely (IEEE J. Sel. Top. Signal Process., 2011)

A Survey on Network Codes for Distributed Storage. - Alexandros G. Dimakis; Kannan Ramchandran; Yunnan Wu; Changho Suh (Proc. IEEE, 2011)

Sparse Recovery of Nonnegative Signals With Minimal Expansion. - M. Amin Khajehnejad; Alexandros G. Dimakis; Weiyu Xu; Babak Hassibi (IEEE Trans. Signal Process., 2011)

Device-to-device communications for wireless video delivery. - Negin Golrezaei; Mingyue Ji; Andreas F. Molisch; Alexandros G. Dimakis; Giuseppe Caire (ACSCC, 2012)

On the mixing time of Markov Chain Monte Carlo for integer least-square problems. - Weiyu Xu; Alexandros G. Dimakis; Babak Hassibi (CDC, 2012)

Device-to-device collaboration through distributed storage. - Negin Golrezaei; Alexandros G. Dimakis; Andreas F. Molisch (GLOBECOM, 2012)

Finding three transmissions is hard. - Arash Saber Tehrani; Alexandros G. Dimakis (GLOBECOM, 2012)

Base-station assisted device-to-device communications for high-throughput wireless video networks. - Negin Golrezaei; Andreas F. Molisch; Alexandros G. Dimakis (ICC, 2012)

Wireless video content delivery through coded distributed caching. - Negin Golrezaei; Karthikeyan Shanmugam; Alexandros G. Dimakis; Andreas F. Molisch; Giuseppe Caire (ICC, 2012)

FemtoCaching: Wireless video content delivery through distributed caching helpers. - Negin Golrezaei; Karthikeyan Shanmugam; Alexandros G. Dimakis; Andreas F. Molisch; Giuseppe Caire (INFOCOM, 2012)

Simple regenerating codes: Network coding for cloud storage. - Dimitris S. Papailiopoulos; Jianqiang Luo; Alexandros G. Dimakis; Cheng Huang 002; Jin Li 001 (INFOCOM, 2012)

Wireless device-to-device communications with distributed caching. - Negin Golrezaei; Alexandros G. Dimakis; Andreas F. Molisch (ISIT, 2012)

Allocations for heterogenous distributed storage. - Vasileios Ntranos; Giuseppe Caire; Alexandros G. Dimakis (ISIT, 2012)

Feedback in the K-user interference channel. - Dimitris S. Papailiopoulos; Changho Suh; Alexandros G. Dimakis (ISIT, 2012)

Bipartite index coding. - Arash Saber Tehrani; Alexandros G. Dimakis; Michael J. Neely (ISIT, 2012)

Scaling Behaviors of Wireless Device-to-Device Communications with Distributed Caching - Negin Golrezaei; Alexandros G. Dimakis; Andreas F. Molisch (CoRR, 2012)

LDPC Codes for Compressed Sensing. - Alexandros G. Dimakis; Roxana Smarandache; Pascal O. Vontobel (IEEE Trans. Inf. Theory, 2012)

Reweighted LP Decoding for LDPC Codes. - M. Amin Khajehnejad; Alexandros G. Dimakis; Babak Hassibi; Benjamin Vigoda; William Bradley (IEEE Trans. Inf. Theory, 2012)

Distributed Storage Allocations. - Derek Leong; Alexandros G. Dimakis; Tracey Ho (IEEE Trans. Inf. Theory, 2012)

The Impact of Mobility on Gossip Algorithms. - Anand D. Sarwate; Alexandros G. Dimakis (IEEE Trans. Inf. Theory, 2012)

Interference Alignment as a Rank Constrained Rank Minimization. - Dimitris S. Papailiopoulos; Alexandros G. Dimakis (IEEE Trans. Signal Process., 2012)

Index coding problem with side information repositories. - Karthikeyan Shanmugam; Alexandros G. Dimakis; Giuseppe Caire (Allerton, 2013)

Availability and locality in distributed storage. - Ankit Singh Rawat; Dimitris S. Papailiopoulos; Alexandros G. Dimakis (GlobalSIP, 2013)

Optimal deterministic compressed sensing matrices. - Arash Saber Tehrani; Alexandros G. Dimakis; Giuseppe Caire (ICASSP, 2013)

Sparse PCA through Low-rank Approximations. - Dimitris S. Papailiopoulos; Alexandros G. Dimakis; Stavros Korokythakis (ICML (3), 2013)

Distributed storage allocations and a hypergraph conjecture of Erdős. - Yi-Hsuan Kao; Alexandros G. Dimakis; Derek Leong; Tracey Ho (ISIT, 2013)

Local graph coloring and index coding. - Karthikeyan Shanmugam; Alexandros G. Dimakis; Michael Langberg (ISIT, 2013)

Optimal measurement matrices for neighbor discovery. - Arash Saber Tehrani; Alexandros G. Dimakis; Giuseppe Caire (ISIT, 2013)

Optimal binary measurement matrices for compressed sensing. - Arash Saber Tehrani; Alexandros G. Dimakis; Giuseppe Caire (ITW, 2013)

Instantly decodable network codes for real-time applications. - Anh Le; Arash Saber Tehrani; Alexandros G. Dimakis; Athina Markopoulou (NetCod, 2013)

Femtocaching and device-to-device collaboration: A new architecture for wireless video distribution. - Negin Golrezaei; Andreas F. Molisch; Alexandros G. Dimakis; Giuseppe Caire (IEEE Commun. Mag., 2013)

XORing Elephants: Novel Erasure Codes for Big Data. - Maheswaran Sathiamoorthy; Megasthenis Asteris; Dimitris S. Papailiopoulos; Alexandros G. Dimakis; Ramkumar Vadali; Scott Chen; Dhruba Borthakur (Proc. VLDB Endow., 2013)

FemtoCaching: Wireless Content Delivery Through Distributed Caching Helpers. - Karthikeyan Shanmugam; Negin Golrezaei; Alexandros G. Dimakis; Andreas F. Molisch; Giuseppe Caire (IEEE Trans. Inf. Theory, 2013)

Combinatorial QPs via a low-dimensional subspace sampling. - Dimitris S. Papailiopoulos; Megasthenis Asteris; Alexandros G. Dimakis (CISS, 2014)

Nonnegative Sparse PCA with Provable Guarantees. - Megasthenis Asteris; Dimitris S. Papailiopoulos; Alexandros G. Dimakis (ICML, 2014)

Finding Dense Subgraphs via Low-Rank Bilinear Optimization. - Dimitris S. Papailiopoulos; Ioannis Mitliagkas; Alexandros G. Dimakis; Constantine Caramanis (ICML, 2014)

On codes with availability for distributed storage. - Ankit Singh Rawat; Dimitris S. Papailiopoulos; Alexandros G. Dimakis; Sriram Vishwanath (ISCCSP, 2014)

Bounding multiple unicasts through index coding and Locally Repairable Codes. - Karthikeyan Shanmugam; Alexandros G. Dimakis (ISIT, 2014)

Graph theory versus minimum rank for index coding. - Karthikeyan Shanmugam; Alexandros G. Dimakis; Michael Langberg (ISIT, 2014)

Sparse Polynomial Learning and Graph Sketching. - Murat Kocaoglu; Karthikeyan Shanmugam; Alexandros G. Dimakis; Adam R. Klivans (NIPS, 2014)

On the Information Theoretic Limits of Learning Ising Models. - Rashish Tandon; Karthikeyan Shanmugam; Pradeep Ravikumar; Alexandros G. Dimakis (NIPS, 2014)

A Smoothed Analysis for Learning Sparse Polynomials. - Alexandros G. Dimakis; Adam R. Klivans; Murat Kocaoglu; Karthikeyan Shanmugam (CoRR, 2014)

Batch Codes through Dense Graphs without Short Cycles. - Alexandros G. Dimakis; Anna Gál; Ankit Singh Rawat; Zhao Song 002 (Electron. Colloquium Comput. Complex., 2014)

Repairable Fountain Codes. - Megasthenis Asteris; Alexandros G. Dimakis (IEEE J. Sel. Areas Commun., 2014)

A Repair Framework for Scalar MDS Codes. - Karthikeyan Shanmugam; Dimitris S. Papailiopoulos; Alexandros G. Dimakis; Giuseppe Caire (IEEE J. Sel. Areas Commun., 2014)

On the Delay Advantage of Coding in Packet Erasure Networks. - Theodoros K. Dikaliotis; Alexandros G. Dimakis; Tracey Ho; Michelle Effros (IEEE Trans. Inf. Theory, 2014)

Scaling Behavior for Device-to-Device Communications With Distributed Caching. - Negin Golrezaei; Alexandros G. Dimakis; Andreas F. Molisch (IEEE Trans. Inf. Theory, 2014)

Locally Repairable Codes. - Dimitris S. Papailiopoulos; Alexandros G. Dimakis (IEEE Trans. Inf. Theory, 2014)

Distributed Storage Codes Reduce Latency in Vehicular Networks. - Maheswaran Sathiamoorthy; Alexandros G. Dimakis; Bhaskar Krishnamachari; Fan Bai 002 (IEEE Trans. Mob. Comput., 2014)

Optimized Markov Chain Monte Carlo for Signal Detection in MIMO Systems: An Analysis of the Stationary Distribution and Mixing Time. - Babak Hassibi; Morten Hansen; Alexandros G. Dimakis; Haider Ali Jasim Alshamary; Weiyu Xu (IEEE Trans. Signal Process., 2014)

Base-Station Assisted Device-to-Device Communications for High-Throughput Wireless Video Networks. - Negin Golrezaei; Parisa Mansourifard; Andreas F. Molisch; Alexandros G. Dimakis (IEEE Trans. Wirel. Commun., 2014)

Understanding contention-based channels and using them for defense. - Casen Hunger; Mikhail Kazdagli; Ankit Singh Rawat; Alexandros G. Dimakis; Sriram Vishwanath; Mohit Tiwari (HPCA, 2015)

Stay on path: PCA along graph paths. - Megasthenis Asteris; Anastasios Kyrillidis; Alexandros G. Dimakis; Han-Gyol Yi; Bharath Chandrasekaran (ICML, 2015)

On approximating the sum-rate for multiple-unicasts. - Karthikeyan Shanmugam; Megasthenis Asteris; Alexandros G. Dimakis (ISIT, 2015)

Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs. - Ethan R. Elenberg; Karthikeyan Shanmugam; Michael Borokhovich; Alexandros G. Dimakis (KDD, 2015)

Orthogonal NMF through Subspace Exploration. - Megasthenis Asteris; Dimitris S. Papailiopoulos; Alexandros G. Dimakis (NIPS, 2015)

Sparse PCA via Bipartite Matchings. - Megasthenis Asteris; Dimitris S. Papailiopoulos; Anastasios Kyrillidis; Alexandros G. Dimakis (NIPS, 2015)

Learning Causal Graphs with Small Interventions. - Karthikeyan Shanmugam; Murat Kocaoglu; Alexandros G. Dimakis; Sriram Vishwanath (NIPS, 2015)

A Perspective on Future Research Directions in Information Theory. - Jeffrey G. Andrews; Alexandros G. Dimakis; Lara Dolecek; Michelle Effros; Muriel Médard; Olgica Milenkovic; Andrea Montanari; Sriram Vishwanath; Edmund M. Yeh; Randall Berry; Ken R. Duffy; Soheil Feizi; et al. (CoRR, 2015)

Index Coding With Coded Side-Information. - Namyoon Lee; Alexandros G. Dimakis; Robert W. Heath Jr. (IEEE Commun. Lett., 2015)

FrogWild! - Fast PageRank Approximations on Graph Engines. - Ioannis Mitliagkas; Michael Borokhovich; Alexandros G. Dimakis; Constantine Caramanis (Proc. VLDB Endow., 2015)

Bipartite Correlation Clustering: Maximizing Agreements. - Megasthenis Asteris; Anastasios Kyrillidis; Dimitris S. Papailiopoulos; Alexandros G. Dimakis (AISTATS, 2016)

Leveraging Sparsity for Efficient Submodular Data Summarization. - Erik M. Lindgren; Shanshan Wu; Alexandros G. Dimakis (NIPS, 2016)

Single Pass PCA of Matrix Products. - Shanshan Wu; Srinadh Bhojanapalli; Sujay Sanghavi; Alexandros G. Dimakis (NIPS, 2016)

Distributed Estimation of Graph 4-Profiles. - Ethan R. Elenberg; Karthikeyan Shanmugam; Michael Borokhovich; Alexandros G. Dimakis (WWW, 2016)

Restricted Strong Convexity Implies Weak Submodularity. - Ethan R. Elenberg; Rajiv Khanna; Alexandros G. Dimakis; Sahand N. Negahban (CoRR, 2016)

Latent Contextual Bandits: A Non-Negative Matrix Factorization Approach. - Rajat Sen; Karthikeyan Shanmugam; Murat Kocaoglu; Alexandros G. Dimakis; Sanjay Shakkottai (CoRR, 2016)

Gradient Coding. - Rashish Tandon; Qi Lei; Alexandros G. Dimakis; Nikos Karampatziakis (CoRR, 2016)

Locality and Availability in Distributed Storage. - Ankit Singh Rawat; Dimitris S. Papailiopoulos; Alexandros G. Dimakis; Sriram Vishwanath (IEEE Trans. Inf. Theory, 2016)

Finite-Length Analysis of Caching-Aided Coded Multicasting. - Karthikeyan Shanmugam; Mingyue Ji; Antonia M. Tulino; Jaime Llorca; Alexandros G. Dimakis (IEEE Trans. Inf. Theory, 2016)

Optimal Locally Repairable Codes and Connections to Matroid Theory. - Itzhak Tamo; Dimitris S. Papailiopoulos; Alexandros G. Dimakis (IEEE Trans. Inf. Theory, 2016)

Auditing for Distributed Storage Systems. - Anh Le; Athina Markopoulou; Alexandros G. Dimakis (IEEE/ACM Trans. Netw., 2016)

Entropic Causal Inference. - Murat Kocaoglu; Alexandros G. Dimakis; Sriram Vishwanath; Babak Hassibi (AAAI, 2017)

A unified Ruzsa-Szemerédi framework for finite-length coded caching. - Karthikeyan Shanmugam; Alexandros G. Dimakis; Jaime Llorca; Antonia M. Tulino (ACSSC, 2017)

Scalable Greedy Feature Selection via Weak Submodularity. - Rajiv Khanna; Ethan R. Elenberg; Alexandros G. Dimakis; Sahand N. Negahban; Joydeep Ghosh (AISTATS, 2017)

Contextual Bandits with Latent Confounders: An NMF Approach. - Rajat Sen; Karthikeyan Shanmugam; Murat Kocaoglu; Alexandros G. Dimakis; Sanjay Shakkottai (AISTATS, 2017)

Compressed Sensing using Generative Models. - Ashish Bora; Ajil Jalal; Eric Price 001; Alexandros G. Dimakis (ICML, 2017)

On Approximation Guarantees for Greedy Low Rank Optimization. - Rajiv Khanna; Ethan R. Elenberg; Alexandros G. Dimakis; Joydeep Ghosh; Sahand N. Negahban (ICML, 2017)

Cost-Optimal Learning of Causal Graphs. - Murat Kocaoglu; Alex Dimakis; Sriram Vishwanath (ICML, 2017)

Exact MAP Inference by Avoiding Fractional Vertices. - Erik M. Lindgren; Alexandros G. Dimakis; Adam R. Klivans (ICML, 2017)

Identifying Best Interventions through Online Importance Sampling. - Rajat Sen; Karthikeyan Shanmugam; Alexandros G. Dimakis; Sanjay Shakkottai (ICML, 2017)

Gradient Coding: Avoiding Stragglers in Distributed Learning. - Rashish Tandon; Qi Lei; Alexandros G. Dimakis; Nikos Karampatziakis (ICML, 2017)

Entropie causality anc greedy minimum entropy coupling. - Murat Kocaoglu; Alexandros G. Dimakis; Sriram Vishwanath; Babak Hassibi (ISIT, 2017)

Coded caching with linear subpacketization is possible using Ruzsa-Szeméredi graphs. - Karthikeyan Shanmugam; Antonia M. Tulino; Alexandros G. Dimakis (ISIT, 2017)

Streaming Weak Submodularity: Interpreting Neural Networks on the Fly. - Ethan R. Elenberg; Alexandros G. Dimakis; Moran Feldman; Amin Karbasi (NIPS, 2017)

Model-Powered Conditional Independence Test. - Rajat Sen; Ananda Theertha Suresh; Karthikeyan Shanmugam; Alexandros G. Dimakis; Sanjay Shakkottai (NIPS, 2017)

On Approximation Guarantees for Greedy Low Rank Optimization. - Rajiv Khanna; Ethan R. Elenberg; Alexandros G. Dimakis; Sahand N. Negahban (CoRR, 2017)

Entropic Causality and Greedy Minimum Entropy Coupling. - Murat Kocaoglu; Alexandros G. Dimakis; Sriram Vishwanath; Babak Hassibi (CoRR, 2017)

Causal Best Intervention Identification via Importance Sampling. - Rajat Sen; Karthikeyan Shanmugam; Alexandros G. Dimakis; Sanjay Shakkottai (CoRR, 2017)

Sparse Quadratic Logistic Regression in Sub-quadratic Time. - Karthikeyan Shanmugam; Murat Kocaoglu; Alexandros G. Dimakis; Sujay Sanghavi (CoRR, 2017)

The Robust Manifold Defense: Adversarial Training using Generative Models. - Andrew Ilyas; Ajil Jalal; Eirini Asteri; Constantinos Daskalakis; Alexandros G. Dimakis (CoRR, 2017)

Recovery of Packet Losses in Wireless Broadcast for Real-Time Applications. - Anh Le; Arash Saber Tehrani; Alexandros G. Dimakis; Athina Markopoulou (IEEE/ACM Trans. Netw., 2017)

AmbientGAN: Generative models from lossy measurements. - Ashish Bora; Eric Price 001; Alexandros G. Dimakis (ICLR, 2018)

CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training. - Murat Kocaoglu; Christopher Snyder; Alexandros G. Dimakis; Sriram Vishwanath (ICLR (Poster), 2018)

Experimental Design for Cost-Aware Learning of Causal Graphs. - Erik M. Lindgren; Murat Kocaoglu; Alexandros G. Dimakis; Sriram Vishwanath (NeurIPS, 2018)

From Centralized to Decentralized Coded Caching. - Yitao Chen; Karthikeyan Shanmugam; Alexandros G. Dimakis (CoRR, 2018)

Compressed Sensing with Deep Image Prior and Learned Regularization. - David Van Veen; Ajil Jalal; Eric Price 001; Sriram Vishwanath; Alexandros G. Dimakis (CoRR, 2018)

The Sparse Recovery Autoencoder. - Shanshan Wu; Alexandros G. Dimakis; Sujay Sanghavi; Felix X. Yu; Daniel Niels Holtmann-Rice; Dmitry Storcheus; Afshin Rostamizadeh; Sanjiv Kumar (CoRR, 2018)

Entropic Latent Variable Discovery. - Murat Kocaoglu; Sanjay Shakkottai; Alexandros G. Dimakis; Constantine Caramanis; Sriram Vishwanath (CoRR, 2018)

Discrete Attacks and Submodular Optimization with Applications to Text Classification. - Qi Lei; Lingfei Wu 001; Pin-Yu Chen; Alexandros G. Dimakis; Inderjit S. Dhillon; Michael Witbrock (CoRR, 2018)

Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling. - Shanshan Wu; Alex Dimakis; Sujay Sanghavi; Felix X. Yu; Daniel Niels Holtmann-Rice; Dmitry Storcheus; Afshin Rostamizadeh; Sanjiv Kumar (ICML, 2019)

Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification. - Qi Lei; Lingfei Wu 001; Pin-Yu Chen; Alex Dimakis; Inderjit S. Dhillon; Michael Witbrock (SysML, 2019)

Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes. - Matt Jordan; Justin Lewis; Alexandros G. Dimakis (NeurIPS, 2019)

Inverting Deep Generative models, One layer at a time. - Qi Lei; Ajil Jalal; Inderjit S. Dhillon; Alexandros G. Dimakis (NeurIPS, 2019)

Primal-Dual Block Generalized Frank-Wolfe. - Qi Lei; Jiacheng Zhuo; Constantine Caramanis; Inderjit S. Dhillon; Alexandros G. Dimakis (NeurIPS, 2019)

Learning Distributions Generated by One-Layer ReLU Networks. - Shanshan Wu; Alexandros G. Dimakis; Sujay Sanghavi (NeurIPS, 2019)

Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models. - Shanshan Wu; Sujay Sanghavi; Alexandros G. Dimakis (NeurIPS, 2019)

Quantifying Perceptual Distortion of Adversarial Examples. - Matt Jordan; Naren Manoj; Surbhi Goel; Alexandros G. Dimakis (CoRR, 2019)

SysML: The New Frontier of Machine Learning Systems. - 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; et al. (CoRR, 2019)

Primal-Dual Block Frank-Wolfe. - Qi Lei; Jiacheng Zhuo; Constantine Caramanis; Inderjit S. Dhillon; Alexandros G. Dimakis (CoRR, 2019)

Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls. - Jiacheng Zhuo; Qi Lei; Alex Dimakis; Constantine Caramanis (AISTATS, 2020)

Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models. - Giannis Daras; Augustus Odena; Han Zhang 010; Alexandros G. Dimakis (CVPR, 2020)

Adversarial Video Compression Guided by Soft Edge Detection. - Sungsoo Kim; Jin Soo Park; Christos G. Bampis; Jaeseong Lee 003; Mia K. Markey; Alexandros G. Dimakis; Alan C. Bovik (ICASSP, 2020)

SGD Learns One-Layer Networks in WGANs. - Qi Lei; Jason D. Lee; Alex Dimakis; Constantinos Daskalakis (ICML, 2020)

SMYRF - Efficient Attention using Asymmetric Clustering. - Giannis Daras; Nikita Kitaev; Augustus Odena; Alexandros G. Dimakis (NeurIPS, 2020)

Robust compressed sensing using generative models. - Ajil Jalal; Liu Liu; Alexandros G. Dimakis; Constantine Caramanis (NeurIPS, 2020)

Exactly Computing the Local Lipschitz Constant of ReLU Networks. - Matt Jordan; Alexandros G. Dimakis (NeurIPS, 2020)

Applications of Common Entropy for Causal Inference. - Murat Kocaoglu; Sanjay Shakkottai; Alexandros G. Dimakis; Constantine Caramanis; Sriram Vishwanath (NeurIPS, 2020)

Conditional Sampling from Invertible Generative Models with Applications to Inverse Problems. - Erik M. Lindgren; Jay Whang; Alexandros G. Dimakis (CoRR, 2020)

Compressed Sensing with Invertible Generative Models and Dependent Noise. - Jay Whang; Qi Lei; Alexandros G. Dimakis (CoRR, 2020)

Robust compressed sensing of generative models. - Ajil Jalal; Liu Liu; Alexandros G. Dimakis; Constantine Caramanis (CoRR, 2020)

Guest Editorial. - Richard G. Baraniuk; Alex Dimakis; Negar Kiyavash; Sewoong Oh; Rebecca Willett (IEEE J. Sel. Areas Inf. Theory, 2020)

Deep Learning Techniques for Inverse Problems in Imaging. - Gregory Ongie; Ajil Jalal; Christopher A. Metzler; Richard G. Baraniuk; Alexandros G. Dimakis; Rebecca Willett (IEEE J. Sel. Areas Inf. Theory, 2020)

Gradient Coding From Cyclic MDS Codes and Expander Graphs. - Netanel Raviv; Itzhak Tamo; Rashish Tandon; Alexandros G. Dimakis (IEEE Trans. Inf. Theory, 2020)

Intermediate Layer Optimization for Inverse Problems using Deep Generative Models. - Giannis Daras; Joseph Dean; Ajil Jalal; Alex Dimakis (ICML, 2021)

Instance-Optimal Compressed Sensing via Posterior Sampling. - Ajil Jalal; Sushrut Karmalkar; Alex Dimakis; Eric Price 001 (ICML, 2021)

Fairness for Image Generation with Uncertain Sensitive Attributes. - Ajil Jalal; Sushrut Karmalkar; Jessica Hoffmann; Alex Dimakis; Eric Price 001 (ICML, 2021)

Provable Lipschitz Certification for Generative Models. - Matt Jordan; Alex Dimakis (ICML, 2021)

Solving Inverse Problems with a Flow-based Noise Model. - Jay Whang; Qi Lei; Alex Dimakis (ICML, 2021)

Composing Normalizing Flows for Inverse Problems. - Jay Whang; Erik M. Lindgren; Alex Dimakis (ICML, 2021)

Robust Compressed Sensing MRI with Deep Generative Priors. - Ajil Jalal; Marius Arvinte; Giannis Daras; Eric Price 001; Alexandros G. Dimakis; Jonathan I. Tamir (NeurIPS, 2021)

Inverse Problems Leveraging Pre-trained Contrastive Representations. - Sriram Ravula; Georgios Smyrnis; Matt Jordan; Alexandros G. Dimakis (NeurIPS, 2021)

Neural Distributed Source Coding. - Jay Whang; Anish Acharya; Hyeji Kim; Alexandros G. Dimakis (CoRR, 2021)

Solving Inverse Problems with NerfGANs. - Giannis Daras; Wen-Sheng Chu; Abhishek Kumar; Dmitry Lagun; Alexandros G. Dimakis (CoRR, 2021)

High Dimensional Channel Estimation Using Deep Generative Networks. - Eren Balevi; Akash S. Doshi; Ajil Jalal; Alexandros G. Dimakis; Jeffrey G. Andrews (IEEE J. Sel. Areas Commun., 2021)

One-dimensional Deep Image Prior for Time Series Inverse Problems. - Sriram Ravula; Alexandros G. Dimakis (IEEECONF, 2022)

Deblurring via Stochastic Refinement. - Jay Whang; Mauricio Delbracio; Hossein Talebi; Chitwan Saharia; Alexandros G. Dimakis; Peyman Milanfar (CVPR, 2022)

Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems. - Giannis Daras; Yuval Dagan; Alex Dimakis; Constantinos Daskalakis (ICML, 2022)

Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve. - Giannis Daras; Negin Raoof; Zoi Gkalitsiou; Alex Dimakis (NeurIPS, 2022)

Zonotope Domains for Lagrangian Neural Network Verification. - Matt Jordan; Jonathan Hayase; Alex Dimakis; Sewoong Oh (NeurIPS, 2022)

Discovering the Hidden Vocabulary of DALLE-2. - Giannis Daras; Alexandros G. Dimakis (CoRR, 2022)

Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems. - Giannis Daras; Yuval Dagan; Alexandros G. Dimakis; Constantinos Daskalakis (CoRR, 2022)

Multiresolution Textual Inversion. - Giannis Daras; Alexandros G. Dimakis (CoRR, 2022)

One-Dimensional Deep Image Prior for Curve Fitting of S-Parameters from Electromagnetic Solvers. - Sriram Ravula; Varun Gorti; Bo Deng; Swagato Chakraborty; James Pingenot; Bhyrav Mutnury; Douglas Wallace; Douglas Winterberg; Adam R. Klivans; Alexandros G. Dimakis (ICCAD, 2023)

HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing. - Tianlong Chen 001; Chengyue Gong; Daniel Jesus Diaz; Xuxi Chen; Jordan Tyler Wells; Qiang Liu 001; Zhangyang Wang; Andrew D. Ellington; Alex Dimakis; Adam R. Klivans (ICLR, 2023)

Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers. - Sitan Chen; Giannis Daras; Alex Dimakis (ICML, 2023)

Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent. - Giannis Daras; Yuval Dagan; Alex Dimakis; Constantinos Daskalakis (NeurIPS, 2023)

Ambient Diffusion: Learning Clean Distributions from Corrupted Data. - Giannis Daras; Kulin Shah; Yuval Dagan; Aravind Gollakota; Alex Dimakis; Adam R. Klivans (NeurIPS, 2023)

DataComp: In search of the next generation of multimodal datasets. - Samir Yitzhak Gadre; Gabriel Ilharco; Alex Fang; Jonathan Hayase; Georgios Smyrnis; Thao Nguyen; Ryan Marten; Mitchell Wortsman; Dhruba Ghosh; Jieyu Zhang 001; Eyal Orgad; Rahim Entezari; et al. (NeurIPS, 2023)

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models. - Litu Rout; Negin Raoof; Giannis Daras; Constantine Caramanis; Alex Dimakis; Sanjay Shakkottai (NeurIPS, 2023)

Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models. - Sriram Ravula; Brett Levac; Ajil Jalal; Jonathan I. Tamir; Alexandros G. Dimakis (CoRR, 2023)

On a Foundation Model for Operating Systems. - Divyanshu Saxena; Nihal Sharma; Donghyun Kim 002; Rohit Dwivedula; Jiayi Chen; Chenxi Yang; Sriram Ravula; Zichao Hu; Aditya Akella; Sebastian Angel; Joydeep Biswas; Swarat Chaudhuri; et al. (CoRR, 2023)

Editorial Special Issue on Causality: Fundamental Limits and Applications. - Negar Kiyavash; Elias Bareinboim; Todd P. Coleman; Alex Dimakis; Bernhard Schlkopf; Peter Spirtes; Kun Zhang 001; Robert Nowak 001 (IEEE J. Sel. Areas Inf. Theory, 2023)

Soft Diffusion: Score Matching with General Corruptions. - Giannis Daras; Mauricio Delbracio; Hossein Talebi; Alex Dimakis; Peyman Milanfar (Trans. Mach. Learn. Res., 2023)

Model-Based Deep Learning. - Nir Shlezinger; Jay Whang; Yonina C. Eldar; Alexandros G. Dimakis (Proc. IEEE, 2023)

4DIFF: 3D-Aware Diffusion Model for Third-to-First Viewpoint Translation. - Feng Cheng; Mi Luo; Huiyu Wang; Alex Dimakis; Lorenzo Torresani; Gedas Bertasius; Kristen Grauman (ECCV (24), 2024)

Put Myself in Your Shoes: Lifting the Egocentric Perspective from Exocentric Videos. - Mi Luo; Zihui Xue; Alex Dimakis; Kristen Grauman (ECCV (38), 2024)

Which questions should I answer? Salience Prediction of Inquisitive Questions. - Yating Wu 002; Ritika Mangla; Alex Dimakis; Greg Durrett; Junyi Jessy Li (EMNLP, 2024)

Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data. - Giannis Daras; Alex Dimakis; Constantinos Daskalakis (ICML, 2024)

Warped Diffusion: Solving Video Inverse Problems with Image Diffusion Models. - Giannis Daras; Weili Nie; Karsten Kreis; Alex Dimakis; Morteza Mardani; Nikola B. Kovachki; Arash Vahdat (NeurIPS, 2024)

DataComp-LM: In search of the next generation of training sets for language models. - Jeffrey Li; Alex Fang; Georgios Smyrnis; Maor Ivgi; Matt Jordan; Samir Yitzhak Gadre; Hritik Bansal; Etash Kumar Guha; Sedrick Scott Keh; Kushal Arora; Saurabh Garg; Rui Xin; et al. (NeurIPS, 2024)

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. - Vijay Lingam; Atula Neerkaje; Aditya Vavre; Aneesh Shetty; Gautham Krishna Gudur; Joydeep Ghosh; Eunsol Choi; Alex Dimakis; Aleksandar Bojchevski; Sujay Sanghavi (NeurIPS, 2024)

Self-Supervised Speech Models For Word-Level Stuttered Speech Detection. - Yi-Jen Shih; Zoi Gkalitsiou; Alexandros G. Dimakis; David Harwath (SLT, 2024)

Institute for Foundations of Machine Learning (IFML): Advancing AI systems that will transform our world. - Adam R. Klivans; Alexandros G. Dimakis; Kristen Grauman; Jonathan I. Tamir; Daniel Jesus Diaz; Karen Davidson (AI Mag., 2024)

Language models scale reliably with over-training and on downstream tasks. - Samir Yitzhak Gadre; Georgios Smyrnis; Vaishaal Shankar; Suchin Gururangan; Mitchell Wortsman; Rulin Shao; Jean Mercat; Alex Fang; Jeffrey Li; Sedrick Keh; Rui Xin; Marianna Nezhurina; et al. (CoRR, 2024)

Pre-training Small Base LMs with Fewer Tokens. - Sunny Sanyal; Sujay Sanghavi; Alexandros G. Dimakis (CoRR, 2024)

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors. - Vijay Lingam; Atula Tejaswi; Aditya Vavre; Aneesh Shetty; Gautham Krishna Gudur; Joydeep Ghosh; Alex Dimakis; Eunsol Choi; Aleksandar Bojchevski; Sujay Sanghavi (CoRR, 2024)

A Survey on Diffusion Models for Inverse Problems. - Giannis Daras; Hyungjin Chung; Chieh-Hsin Lai; Yuki Mitsufuji; Jong Chul Ye; Peyman Milanfar; Alexandros G. Dimakis; Mauricio Delbracio (CoRR, 2024)

Neural Distributed Source Coding. - Jay Whang; Alliot Nagle; Anish Acharya; Hyeji Kim; Alexandros G. Dimakis (IEEE J. Sel. Areas Inf. Theory, 2024)

Viewpoint Rosetta Stone: Unlocking Unpaired Ego-Exo Videos for View-invariant Representation Learning. - Mi Luo; Zihui Xue; Alex Dimakis; Kristen Grauman (CVPR, 2025)

Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models Trained on Corrupted Data. - Asad Aali; Giannis Daras; Brett Levac; Sidharth Kumar; Alex Dimakis; Jonathan I. Tamir (ICLR, 2025)

Language models scale reliably with over-training and on downstream tasks. - Samir Yitzhak Gadre; Georgios Smyrnis; Vaishaal Shankar; Suchin Gururangan; Mitchell Wortsman; Rulin Shao; Jean Mercat; Alex Fang; Jeffrey Li; Sedrick Keh; Rui Xin; Marianna Nezhurina; et al. (ICLR, 2025)

Infilling Score: A Pretraining Data Detection Algorithm for Large Language Models. - Negin Raoof; Litu Rout; Giannis Daras; Sujay Sanghavi; Constantine Caramanis; Sanjay Shakkottai; Alex Dimakis (ICLR, 2025)

Large Language Models as Realistic Microservice Trace Generators. - Donghyun Kim 002; Sriram Ravula; Taemin Ha; Alexandros G. Dimakis; Daehyeok Kim; Aditya Akella (CoRR, 2025)

Geometric Median Matching for Robust k-Subset Selection from Noisy Data. - Anish Acharya; Sujay Sanghavi; Alexandros G. Dimakis; Inderjit S. Dhillon (CoRR, 2025)

OpenThoughts: Data Recipes for Reasoning Models. - Etash Kumar Guha; Ryan Marten; Sedrick Keh; Negin Raoof; Georgios Smyrnis; Hritik Bansal; Marianna Nezhurina; Jean Mercat; Trung Vu 002; Zayne Sprague; Ashima Suvarna; Benjamin Feuer; et al. (CoRR, 2025)

GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning. - Lakshya A. Agrawal; Shangyin Tan; Dilara Soylu; Noah Ziems; Rishi Khare; Krista Opsahl-Ong; Arnav Singhvi; Herumb Shandilya; Michael J. Ryan; Meng Jiang; Christopher Potts; Koushik Sen; et al. (CoRR, 2025)

Guest Editorial: Rethinking the Information Identification, Representation, and Transmission Pipeline: New Approaches to Data Compression and Communication. - Jun Chen 005; Alexandros G. Dimakis; Yong Fang 001; Ashish Khisti; Ayfer Özgür; Nir Shlezinger (IEEE J. Sel. Areas Commun., 2025)