Alexandros G. Dimakis

Orcid: 0000-0002-4244-7033

Affiliations:
  • University of Texas at Austin, USA
  • University of Southern California, Los Angeles, USA


According to our database1, Alexandros G. Dimakis authored at least 213 papers between 2002 and 2024.

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Bibliography

2024
Neural Distributed Source Coding.
IEEE J. Sel. Areas Inf. Theory, 2024

A Survey on Diffusion Models for Inverse Problems.
CoRR, 2024

Self-supervised Speech Models for Word-Level Stuttered Speech Detection.
CoRR, 2024

DataComp-LM: In search of the next generation of training sets for language models.
CoRR, 2024

SVFT: Parameter-Efficient Fine-Tuning with Singular Vectors.
CoRR, 2024

Pre-training Small Base LMs with Fewer Tokens.
CoRR, 2024

Ambient Diffusion Posterior Sampling: Solving Inverse Problems with Diffusion Models trained on Corrupted Data.
CoRR, 2024

Language models scale reliably with over-training and on downstream tasks.
CoRR, 2024

Institute for Foundations of Machine Learning (IFML): Advancing AI systems that will transform our world.
AI Mag., 2024

Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Which questions should I answer? Salience Prediction of Inquisitive Questions.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Put Myself in Your Shoes: Lifting the Egocentric Perspective from Exocentric Videos.
Proceedings of the Computer Vision - ECCV 2024, 2024

4DIFF: 3D-Aware Diffusion Model for Third-to-First Viewpoint Translation.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Model-Based Deep Learning.
Proc. IEEE, May, 2023

Soft Diffusion: Score Matching with General Corruptions.
Trans. Mach. Learn. Res., 2023

Editorial Special Issue on Causality: Fundamental Limits and Applications.
IEEE J. Sel. Areas Inf. Theory, 2023

On a Foundation Model for Operating Systems.
CoRR, 2023

Optimizing Sampling Patterns for Compressed Sensing MRI with Diffusion Generative Models.
CoRR, 2023

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023


Ambient Diffusion: Learning Clean Distributions from Corrupted Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Consistent Diffusion Models: Mitigating Sampling Drift by Learning to be Consistent.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Restoration-Degradation Beyond Linear Diffusions: A Non-Asymptotic Analysis For DDIM-type Samplers.
Proceedings of the International Conference on Machine Learning, 2023

HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

One-Dimensional Deep Image Prior for Curve Fitting of S-Parameters from Electromagnetic Solvers.
Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

2022
Multiresolution Textual Inversion.
CoRR, 2022

Score-Guided Intermediate Layer Optimization: Fast Langevin Mixing for Inverse Problems.
CoRR, 2022

Discovering the Hidden Vocabulary of DALLE-2.
CoRR, 2022

Zonotope Domains for Lagrangian Neural Network Verification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multitasking Models are Robust to Structural Failure: A Neural Model for Bilingual Cognitive Reserve.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Score-Guided Intermediate Level Optimization: Fast Langevin Mixing for Inverse Problems.
Proceedings of the International Conference on Machine Learning, 2022

Deblurring via Stochastic Refinement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

One-dimensional Deep Image Prior for Time Series Inverse Problems.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
High Dimensional Channel Estimation Using Deep Generative Networks.
IEEE J. Sel. Areas Commun., 2021

Solving Inverse Problems with NerfGANs.
CoRR, 2021

Neural Distributed Source Coding.
CoRR, 2021

Inverse Problems Leveraging Pre-trained Contrastive Representations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Compressed Sensing MRI with Deep Generative Priors.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Composing Normalizing Flows for Inverse Problems.
Proceedings of the 38th International Conference on Machine Learning, 2021

Solving Inverse Problems with a Flow-based Noise Model.
Proceedings of the 38th International Conference on Machine Learning, 2021

Provable Lipschitz Certification for Generative Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

Fairness for Image Generation with Uncertain Sensitive Attributes.
Proceedings of the 38th International Conference on Machine Learning, 2021

Instance-Optimal Compressed Sensing via Posterior Sampling.
Proceedings of the 38th International Conference on Machine Learning, 2021

Intermediate Layer Optimization for Inverse Problems using Deep Generative Models.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Gradient Coding From Cyclic MDS Codes and Expander Graphs.
IEEE Trans. Inf. Theory, 2020

Deep Learning Techniques for Inverse Problems in Imaging.
IEEE J. Sel. Areas Inf. Theory, 2020

Guest Editorial.
IEEE J. Sel. Areas Inf. Theory, 2020

Robust compressed sensing of generative models.
CoRR, 2020

Compressed Sensing with Invertible Generative Models and Dependent Noise.
CoRR, 2020

Conditional Sampling from Invertible Generative Models with Applications to Inverse Problems.
CoRR, 2020

Applications of Common Entropy for Causal Inference.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Exactly Computing the Local Lipschitz Constant of ReLU Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Robust compressed sensing using generative models.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SMYRF - Efficient Attention using Asymmetric Clustering.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

SGD Learns One-Layer Networks in WGANs.
Proceedings of the 37th International Conference on Machine Learning, 2020

Adversarial Video Compression Guided by Soft Edge Detection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Primal-Dual Block Frank-Wolfe.
CoRR, 2019

SysML: The New Frontier of Machine Learning Systems.
CoRR, 2019

Quantifying Perceptual Distortion of Adversarial Examples.
CoRR, 2019

Sparse Logistic Regression Learns All Discrete Pairwise Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Learning Distributions Generated by One-Layer ReLU Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Primal-Dual Block Generalized Frank-Wolfe.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Inverting Deep Generative models, One layer at a time.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Provable Certificates for Adversarial Examples: Fitting a Ball in the Union of Polytopes.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification.
Proceedings of the Second Conference on Machine Learning and Systems, SysML 2019, 2019

Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling.
Proceedings of the 36th International Conference on Machine Learning, 2019

2018
Discrete Attacks and Submodular Optimization with Applications to Text Classification.
CoRR, 2018

Entropic Latent Variable Discovery.
CoRR, 2018

The Sparse Recovery Autoencoder.
CoRR, 2018

Compressed Sensing with Deep Image Prior and Learned Regularization.
CoRR, 2018

From Centralized to Decentralized Coded Caching.
CoRR, 2018

Experimental Design for Cost-Aware Learning of Causal Graphs.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training.
Proceedings of the 6th International Conference on Learning Representations, 2018

AmbientGAN: Generative models from lossy measurements.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Recovery of Packet Losses in Wireless Broadcast for Real-Time Applications.
IEEE/ACM Trans. Netw., 2017

The Robust Manifold Defense: Adversarial Training using Generative Models.
CoRR, 2017

Sparse Quadratic Logistic Regression in Sub-quadratic Time.
CoRR, 2017

Causal Best Intervention Identification via Importance Sampling.
CoRR, 2017

Entropic Causality and Greedy Minimum Entropy Coupling.
CoRR, 2017

On Approximation Guarantees for Greedy Low Rank Optimization.
CoRR, 2017

Model-Powered Conditional Independence Test.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Streaming Weak Submodularity: Interpreting Neural Networks on the Fly.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Coded caching with linear subpacketization is possible using Ruzsa-Szeméredi graphs.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Entropie causality anc greedy minimum entropy coupling.
Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Gradient Coding: Avoiding Stragglers in Distributed Learning.
Proceedings of the 34th International Conference on Machine Learning, 2017

Identifying Best Interventions through Online Importance Sampling.
Proceedings of the 34th International Conference on Machine Learning, 2017

Exact MAP Inference by Avoiding Fractional Vertices.
Proceedings of the 34th International Conference on Machine Learning, 2017

Cost-Optimal Learning of Causal Graphs.
Proceedings of the 34th International Conference on Machine Learning, 2017

On Approximation Guarantees for Greedy Low Rank Optimization.
Proceedings of the 34th International Conference on Machine Learning, 2017

Compressed Sensing using Generative Models.
Proceedings of the 34th International Conference on Machine Learning, 2017

Contextual Bandits with Latent Confounders: An NMF Approach.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

Scalable Greedy Feature Selection via Weak Submodularity.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

A unified Ruzsa-Szemerédi framework for finite-length coded caching.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Entropic Causal Inference.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Auditing for Distributed Storage Systems.
IEEE/ACM Trans. Netw., 2016

Optimal Locally Repairable Codes and Connections to Matroid Theory.
IEEE Trans. Inf. Theory, 2016

Finite-Length Analysis of Caching-Aided Coded Multicasting.
IEEE Trans. Inf. Theory, 2016

Locality and Availability in Distributed Storage.
IEEE Trans. Inf. Theory, 2016

Gradient Coding.
CoRR, 2016

Latent Contextual Bandits: A Non-Negative Matrix Factorization Approach.
CoRR, 2016

Restricted Strong Convexity Implies Weak Submodularity.
CoRR, 2016

Distributed Estimation of Graph 4-Profiles.
Proceedings of the 25th International Conference on World Wide Web, 2016

Single Pass PCA of Matrix Products.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Leveraging Sparsity for Efficient Submodular Data Summarization.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Bipartite Correlation Clustering: Maximizing Agreements.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
FrogWild! - Fast PageRank Approximations on Graph Engines.
Proc. VLDB Endow., 2015

Index Coding With Coded Side-Information.
IEEE Commun. Lett., 2015

A Perspective on Future Research Directions in Information Theory.
CoRR, 2015

Learning Causal Graphs with Small Interventions.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Sparse PCA via Bipartite Matchings.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Orthogonal NMF through Subspace Exploration.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Beyond Triangles: A Distributed Framework for Estimating 3-profiles of Large Graphs.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

On approximating the sum-rate for multiple-unicasts.
Proceedings of the IEEE International Symposium on Information Theory, 2015

Stay on path: PCA along graph paths.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Understanding contention-based channels and using them for defense.
Proceedings of the 21st IEEE International Symposium on High Performance Computer Architecture, 2015

2014
Base-Station Assisted Device-to-Device Communications for High-Throughput Wireless Video Networks.
IEEE Trans. Wirel. Commun., 2014

Optimized Markov Chain Monte Carlo for Signal Detection in MIMO Systems: An Analysis of the Stationary Distribution and Mixing Time.
IEEE Trans. Signal Process., 2014

Distributed Storage Codes Reduce Latency in Vehicular Networks.
IEEE Trans. Mob. Comput., 2014

Locally Repairable Codes.
IEEE Trans. Inf. Theory, 2014

Scaling Behavior for Device-to-Device Communications With Distributed Caching.
IEEE Trans. Inf. Theory, 2014

On the Delay Advantage of Coding in Packet Erasure Networks.
IEEE Trans. Inf. Theory, 2014

A Repair Framework for Scalar MDS Codes.
IEEE J. Sel. Areas Commun., 2014

Repairable Fountain Codes.
IEEE J. Sel. Areas Commun., 2014

Batch Codes through Dense Graphs without Short Cycles.
Electron. Colloquium Comput. Complex., 2014

A Smoothed Analysis for Learning Sparse Polynomials.
CoRR, 2014

On the Information Theoretic Limits of Learning Ising Models.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Sparse Polynomial Learning and Graph Sketching.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Graph theory versus minimum rank for index coding.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

Bounding multiple unicasts through index coding and Locally Repairable Codes.
Proceedings of the 2014 IEEE International Symposium on Information Theory, Honolulu, HI, USA, June 29, 2014

On codes with availability for distributed storage.
Proceedings of the 6th International Symposium on Communications, 2014

Finding Dense Subgraphs via Low-Rank Bilinear Optimization.
Proceedings of the 31th International Conference on Machine Learning, 2014

Nonnegative Sparse PCA with Provable Guarantees.
Proceedings of the 31th International Conference on Machine Learning, 2014

Combinatorial QPs via a low-dimensional subspace sampling.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

2013
FemtoCaching: Wireless Content Delivery Through Distributed Caching Helpers.
IEEE Trans. Inf. Theory, 2013

XORing Elephants: Novel Erasure Codes for Big Data.
Proc. VLDB Endow., 2013

Femtocaching and device-to-device collaboration: A new architecture for wireless video distribution.
IEEE Commun. Mag., 2013

Instantly decodable network codes for real-time applications.
Proceedings of the International Symposium on Network Coding, 2013

Optimal binary measurement matrices for compressed sensing.
Proceedings of the 2013 IEEE Information Theory Workshop, 2013

Optimal measurement matrices for neighbor discovery.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Local graph coloring and index coding.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Distributed storage allocations and a hypergraph conjecture of Erdős.
Proceedings of the 2013 IEEE International Symposium on Information Theory, 2013

Sparse PCA through Low-rank Approximations.
Proceedings of the 30th International Conference on Machine Learning, 2013

Optimal deterministic compressed sensing matrices.
Proceedings of the IEEE International Conference on Acoustics, 2013

Availability and locality in distributed storage.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Index coding problem with side information repositories.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Interference Alignment as a Rank Constrained Rank Minimization.
IEEE Trans. Signal Process., 2012

The Impact of Mobility on Gossip Algorithms.
IEEE Trans. Inf. Theory, 2012

Distributed Storage Allocations.
IEEE Trans. Inf. Theory, 2012

Reweighted LP Decoding for LDPC Codes.
IEEE Trans. Inf. Theory, 2012

LDPC Codes for Compressed Sensing.
IEEE Trans. Inf. Theory, 2012

Scaling Behaviors of Wireless Device-to-Device Communications with Distributed Caching
CoRR, 2012

Bipartite index coding.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Feedback in the K-user interference channel.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Allocations for heterogenous distributed storage.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Wireless device-to-device communications with distributed caching.
Proceedings of the 2012 IEEE International Symposium on Information Theory, 2012

Simple regenerating codes: Network coding for cloud storage.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

FemtoCaching: Wireless video content delivery through distributed caching helpers.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Wireless video content delivery through coded distributed caching.
Proceedings of IEEE International Conference on Communications, 2012

Base-station assisted device-to-device communications for high-throughput wireless video networks.
Proceedings of IEEE International Conference on Communications, 2012

Finding three transmissions is hard.
Proceedings of the 2012 IEEE Global Communications Conference, 2012

Device-to-device collaboration through distributed storage.
Proceedings of the 2012 IEEE Global Communications Conference, 2012

On the mixing time of Markov Chain Monte Carlo for integer least-square problems.
Proceedings of the 51th IEEE Conference on Decision and Control, 2012

Device-to-device communications for wireless video delivery.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Sparse Recovery of Nonnegative Signals With Minimal Expansion.
IEEE Trans. Signal Process., 2011

A Survey on Network Codes for Distributed Storage.
Proc. IEEE, 2011

SigSag: Iterative Detection Through Soft Message-Passing.
IEEE J. Sel. Top. Signal Process., 2011

Local Interference Can Accelerate Gossip Algorithms.
IEEE J. Sel. Top. Signal Process., 2011

Distributed storage codes through Hadamard designs.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Distributed storage allocations for optimal delay.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Explicit matrices for sparse approximation.
Proceedings of the 2011 IEEE International Symposium on Information Theory Proceedings, 2011

Repair optimal erasure codes through hadamard designs.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

Level estimation for sparse reconstruction in discrete tomography.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Wireless video content delivery through distributed caching and peer-to-peer gossiping.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Session TP4b: Distributed storage systems.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Network coding for distributed storage systems.
IEEE Trans. Inf. Theory, 2010

Order-optimal consensus through randomized path averaging.
IEEE Trans. Inf. Theory, 2010

Gossip Algorithms for Distributed Signal Processing.
Proc. IEEE, 2010

Rebuilding for Array Codes in Distributed Storage Systems
CoRR, 2010

Security in distributed storage systems by communicating a logarithmic number of bits.
Proceedings of the IEEE International Symposium on Information Theory, 2010

Sparse recovery for discrete tomography.
Proceedings of the International Conference on Image Processing, 2010

Distributed Storage Allocation for High Reliability.
Proceedings of IEEE International Conference on Communications, 2010

Symmetric Allocations for Distributed Storage.
Proceedings of the Global Communications Conference, 2010

Distributed storage codes meet multiple-access wiretap channels.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

Reweighted LP decoding for LDPC codes.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

MCMC methods for integer least-squares problems.
Proceedings of the 48th Annual Allerton Conference on Communication, 2010

2009
Guessing facets: polytope structure and improved LP decoder.
IEEE Trans. Inf. Theory, 2009

Searching for Minimum Storage Regenerating Codes
CoRR, 2009

Sparse Recovery of Positive Signals with Minimal Expansion
CoRR, 2009

Reducing repair traffic for erasure coding-based storage via interference alignment.
Proceedings of the IEEE International Symposium on Information Theory, 2009

On the delay of network coding over line networks.
Proceedings of the IEEE International Symposium on Information Theory, 2009

Neighborhood gossip: Concurrent averaging through local interference.
Proceedings of the IEEE International Conference on Acoustics, 2009

Near-Optimal Detection in MIMO Systems Using Gibbs Sampling.
Proceedings of the Global Communications Conference, 2009. GLOBECOM 2009, Honolulu, Hawaii, USA, 30 November, 2009

LP decoding meets LP decoding: A connection between channel coding and compressed sensing.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

Reaching consensus in wireless networks with probabilistic broadcast.
Proceedings of the 47th Annual Allerton Conference on Communication, 2009

2008
Geographic Gossip: Efficient Averaging for Sensor Networks.
IEEE Trans. Signal Process., 2008

Probabilistic Analysis of Linear Programming Decoding.
IEEE Trans. Inf. Theory, 2008

Lower Bounds on the Rate-Distortion Function of LDGM Codes
CoRR, 2008

2007
Connectivity and Equilibrium in Random Games
CoRR, 2007

Guessing Facets: Polytope Structure and Improved LP Decoding
CoRR, 2007

Unequal Growth Codes: Intermediate Performance and Unequal Error Protection for Video Streaming.
Proceedings of the IEEE 9th Workshop on Multimedia Signal Processing, 2007

Robust message-passing for statistical inference in sensor networks.
Proceedings of the 6th International Conference on Information Processing in Sensor Networks, 2007

Network Coding for Distributed Storage Systems.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

2006
Decentralized erasure codes for distributed networked storage.
IEEE Trans. Inf. Theory, 2006

From Dumb Wireless Sensors to Smart Networks using Network Coding
CoRR, 2006

Guessing Facets: Polytope Structure and Improved LP Decoder.
Proceedings of the Proceedings 2006 IEEE International Symposium on Information Theory, 2006

Geographic gossip: efficient aggregation for sensor networks.
Proceedings of the Fifth International Conference on Information Processing in Sensor Networks, 2006

Distributed Fountain Codes for Networked Storage.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2005
Phase-modulated resonances modeled as self-similar processes with application to turbulent sounds.
IEEE Trans. Signal Process., 2005

Ubiquitous access to distributed data in large-scale sensor networks through decentralized erasure codes.
Proceedings of the Fourth International Symposium on Information Processing in Sensor Networks, 2005

2004
Modeling resonances with phase modulated self-similar processes [speech processing example].
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2002
Some advances in nonlinear speech modeling using modulations, fractals, and chaos.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002


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