On Some New Approaches to Practical Slepian-Wolf Compression Inspired by Channel Coding. - Todd P. Coleman; Anna H. Lee; Muriel Médard; Michelle Effros (Data Compression Conference, 2004)

A new source-splitting approach to the slepian-wolf problem. - Todd P. Coleman; Anna H. Lee; Muriel Médard; Michelle Effros (ISIT, 2004)

A distributed scheme for achieving energy-delay tradeoffs with multiple service classes over a dynamically varying network. - Todd P. Coleman; Muriel Médard (IEEE J. Sel. Areas Commun., 2004)

Capacity of time-slotted ALOHA packetized multiple-access systems over the AWGN channel. - Muriel Médard; Jianyi Huang; Andrea J. Goldsmith; Sean P. Meyn; Todd P. Coleman (IEEE Trans. Wirel. Commun., 2004)

Towards Practical Minimum-Entropy Universal Decoding. - Todd P. Coleman; Muriel Médard; Michelle Effros (DCC, 2005)

Towards bridging the gap between theory and practice for the Slepian-Wolf problem. - Todd P. Coleman; Muriel Médard; Michelle Effros (ICASSP (5), 2005)

Rate-splitting for the deterministic broadcast channel. - Todd P. Coleman; Michelle Effros; Emin Martinian; Muriel Médard (ISIT, 2005)

Interference management via capacity-achieving codes for the deterministic broadcast channel. - Todd P. Coleman; Emin Martinian; Michelle Effros; Muriel Médard (ITW, 2005)

Time-Sharing Vs. Source-Splitting in the Slepian-Wolf Problem: Error Exponents Analysis. - Todd P. Coleman; Muriel Médard; Michelle Effros (DCC, 2006)

Joint Source-Channel Decoding for Transmitting Correlated Sources over Broadcast Networks. - Todd P. Coleman; Emin Martinian; Erik Ordentlich (ISIT, 2006)

Low-Complexity Approaches to Slepian-Wolf Near-Lossless Distributed Data Compression. - Todd P. Coleman; Anna H. Lee; Muriel Médard; Michelle Effros (IEEE Trans. Inf. Theory, 2006)

Low-complexity approaches to distributed data dissemination. - Todd P. Coleman (2006)

A computationally efficient method for modeling neural spiking activity with point processes nonparametrically. - Todd P. Coleman; Sridevi S. Sarma (CDC, 2007)

Using Convex Optimization for Nonparametric Statistical Analysis of Point Processes. - Todd P. Coleman; Sridevi S. Sarma (ISIT, 2007)

Policies for neural prosthetic control: Initial experiments with a text interface. - Cyrus Omar; Miles Johnson; Timothy Bretl; Todd P. Coleman (ACC, 2008)

Sparse graph codes and practical decoding algorithms for communicating over packet timings in networks. - Todd P. Coleman; Negar Kiyavash (CISS, 2008)

The Rate-Distortion Function of a Poisson Process with a Queueing Distortion Measure. - Todd P. Coleman; Negar Kiyavash; Vijay G. Subramanian (DCC, 2008)

Querying the user properly for high-performance brain-machine interfaces: Recursive estimation, control, and feedback information-theoretic perspectives. - Cyrus Omar; Miles Johnson; Timothy Bretl; Todd P. Coleman (ICASSP, 2008)

Practical codes for queueing channels: An algebraic, state-space, message-passing approach. - Todd P. Coleman; Negar Kiyavash (ITW, 2008)

Using stochastic control with data compression perspectives to enhance P300 Neural Communication Prostheses. - Julian Jarzebowski; Lakshminarayan Srinivasan; Todd P. Coleman (ITW, 2008)

The parabigeminal nucleus as a recursive estimator. - Rui Ma 002; Todd P. Coleman; Joseph G. Malpeli (CDC, 2009)

Covert timing channels codes for communication over interactive traffic. - Negar Kiyavash; Todd P. Coleman (ICASSP, 2009)

Novel Shaping and Complexity-Reduction Techniques for Approaching Capacity over Queuing Timing Channels. - Negar Kiyavash; Todd P. Coleman; Mavis Rodrigues (ICC, 2009)

A stochastic control viewpoint on 'Posterior Matching'-style feedback communication schemes. - Todd P. Coleman (ISIT, 2009)

A simple memoryless proof of the capacity of the exponential server timing channel. - Todd P. Coleman (ITW, 2009)

Joint source-channel coding for transmitting correlated sources over broadcast networks. - Todd P. Coleman; Emin Martinian; Erik Ordentlich (IEEE Trans. Inf. Theory, 2009)

A low-complexity universal scheme for rate-constrained distributed regression using a wireless sensor network. - Avon L. Fernandes; Maxim Raginsky; Todd P. Coleman (IEEE Trans. Signal Process., 2009)

A stochastic control approach to coding with feedback over degraded broadcast channels. - Siva K. Gorantla; Todd P. Coleman (CDC, 2010)

An analytic spatial filter and a hidden Markov model for enhanced information transfer rate in EEG-based brain computer interfaces. - Martin McCormick; Rui Ma 002; Todd P. Coleman (ICASSP, 2010)

Mutual information saddle points in channels of exponential family type. - Todd P. Coleman; Maxim Raginsky (ISIT, 2010)

Source coding with feedforward using the posterior matching scheme. - Hani-James Ebeid; Todd P. Coleman (ISIT, 2010)

On reversible Markov chains and maximization of directed information. - Siva K. Gorantla; Todd P. Coleman (ISIT, 2010)

Bit-wise unequal error protection for variable length blockcodes with feedback. - Siva K. Gorantla; Baris Nakiboglu; Todd P. Coleman; Lizhong Zheng (ISIT, 2010)

Directed information and the NRL Network Pump. - Siva K. Gorantla; Sachin Kadloor; Todd P. Coleman; Negar Kiyavash; Ira S. Moskowitz; Myong H. Kang (ISITA, 2010)

Approximating discrete probability distributions with causal dependence trees. - Christopher J. Quinn; Todd P. Coleman; Negar Kiyavash (ISITA, 2010)

A dynamical point process model of auditory nerve spiking in response to complex sounds. - Andrea Trevino; Todd P. Coleman; Jont B. Allen (J. Comput. Neurosci., 2010)

A Computationally Efficient Method for Nonparametric Modeling of Neural Spiking Activity with Point Processes. - Todd P. Coleman; Sridevi S. Sarma (Neural Comput., 2010)

Introduction to the special issue on information theory in molecular biology and neuroscience. - Olgica Milenkovic; Gil Alterovitz; Gerard Battail; Todd P. Coleman; Joachim Hagenauer; Sean P. Meyn; Nathan D. Price 001; Marco Ramoni; Ilya Shmulevich; Wojciech Szpankowski (IEEE Trans. Inf. Theory, 2010)

Generalizing the Posterior Matching Scheme to higher dimensions via optimal transportation. - Rui Ma 002; Todd P. Coleman (Allerton, 2011)

A minimal approach to causal inference on topologies with bounded indegree. - Christopher J. Quinn; Negar Kiyavash; Todd P. Coleman (CDC/ECC, 2011)

Information transfer between neurons in the motor cortex triggered by visual cues. - Sanggyun Kim; Kazutaka Takahashi 001; Nicholas G. Hatsopoulos; Todd P. Coleman (EMBC, 2011)

Special session on information theory and neuroscience at ISIT 2011. - Todd P. Coleman; Aurel A. Lazar (ISIT, 2011)

Equivalence between reliable feedback communication and nonlinear filter stability. - Siva K. Gorantla; Todd P. Coleman (ISIT, 2011)

A memoryless channel coding methodology for infinite-memory queuing timing channels. - Christopher Li; Tong Cheng; Todd P. Coleman (ISIT, 2011)

Equivalence between minimal generative model graphs and directed information graphs. - Christopher J. Quinn; Negar Kiyavash; Todd P. Coleman (ISIT, 2011)

Finite block-length achievable rates for queuing timing channels. - Thomas J. Riedl; Todd P. Coleman; Andrew C. Singer (ITW, 2011)

Multi-layer Bit-wise Unequal Error Protection for Variable Length Blockcodes with Feedback - Siva K. Gorantla; Baris Nakiboglu; Todd P. Coleman; Lizhong Zheng (CoRR, 2011)

Causal Dependence Tree Approximations of Joint Distributions for Multiple Random Processes - Christopher J. Quinn; Todd P. Coleman; Negar Kiyavash (CoRR, 2011)

Information-Theoretic Viewpoints on Optimal Causal Coding-Decoding Problems - Siva K. Gorantla; Todd P. Coleman (CoRR, 2011)

A Feedback Information-Theoretic Approach to the Design of Brain-Computer Interfaces. - Cyrus Omar; Abdullah Akce; Miles Johnson; Timothy Bretl; Rui Ma 002; Edward L. Maclin; Martin McCormick; Todd P. Coleman (Int. J. Hum. Comput. Interact., 2011)

Estimating the directed information to infer causal relationships in ensemble neural spike train recordings. - Christopher J. Quinn; Todd P. Coleman; Negar Kiyavash; Nicholas G. Hatsopoulos (J. Comput. Neurosci., 2011)

A Message-Passing Approach to Combating Desynchronization Attacks. - Shankar Sadasivam; Pierre Moulin; Todd P. Coleman (IEEE Trans. Inf. Forensics Secur., 2011)

Clustering large networks of parametric dynamic generative models. - Yunwen Xu; Sanggyun Kim; Srinivasa M. Salapaka; Carolyn L. Beck; Todd P. Coleman (CDC, 2012)

Granger causality analysis of functional connectivity of spiking neurons in orofacial motor cortex during chewing and swallowing. - Kazutaka Takahashi 001; Lorenzo L. Pesce; Jose Iriarte-Diaz; Sanggyun Kim; Todd P. Coleman; Nicholas G. Hatsopoulos; Callum F. Ross (EMBC, 2012)

Practical sensor management for an energy-limited detection system. - David M. Jun; Douglas L. Jones; Todd P. Coleman; Wendy J. Leonard; Rama Ratnam (ICASSP, 2012)

Learning minimal latent directed information trees. - Jalal Etesami; Negar Kiyavash; Todd P. Coleman (ISIT, 2012)

Granger causality analysis of state dependent functional connectivity of neurons in orofacial motor cortex during chewing and swallowing. - Kazutaka Takahashi 001; Lorenzo L. Pesce; Jose Iriarte-Diaz; Matthew D. Best; Sanggyun Kim; Todd P. Coleman; Nicholas G. Hatsopoulos; Callum F. Ross (SCIS&ISIS, 2012)

Characterizing the Efficacy of the NRL Network Pump in Mitigating Covert Timing Channels. - Siva K. Gorantla; Sachin Kadloor; Negar Kiyavash; Todd P. Coleman; Ira S. Moskowitz; Myong H. Kang (IEEE Trans. Inf. Forensics Secur., 2012)

Efficient Bayesian inference methods via convex optimization and optimal transport. - Sanggyun Kim; Rui Ma 002; Diego Mesa; Todd P. Coleman (ISIT, 2013)

Robust directed tree approximations for networks of stochastic processes. - Christopher J. Quinn; Jalal Etesami; Negar Kiyavash; Todd P. Coleman (ISIT, 2013)

Grand Challenges in Mapping the Human Brain: NSF Workshop Report. - Bin He 002; Todd P. Coleman; Guy M. Genin; Gary Glover; Xiaoping Hu 001; Nessa Johnson; Tianming Liu 001; Scott Makeig; Paul Sajda; Kaiming Ye (IEEE Trans. Biomed. Eng., 2013)

A Timing Channel Spyware for the CSMA/CA Protocol. - Negar Kiyavash; Farinaz Koushanfar; Todd P. Coleman; Mavis Rodrigues (IEEE Trans. Inf. Forensics Secur., 2013)

Bit-Wise Unequal Error Protection for Variable-Length Block Codes With Feedback. - Baris Nakiboglu; Siva K. Gorantla; Lizhong Zheng; Todd P. Coleman (IEEE Trans. Inf. Theory, 2013)

Efficient Methods to Compute Optimal Tree Approximations of Directed Information Graphs. - Christopher J. Quinn; Negar Kiyavash; Todd P. Coleman (IEEE Trans. Signal Process., 2013)

Necessary and sufficient conditions for reliability of posterior matching in arbitrary dimensions. - Rui Ma 002; Todd P. Coleman (ISIT, 2014)

Dynamic and Succinct Statistical Analysis of Neuroscience Data. - Sanggyun Kim; Christopher J. Quinn; Negar Kiyavash; Todd P. Coleman (Proc. IEEE, 2014)

Bayesian LASSO in a distributed architecture. - Marcela Mendoza; Sanggyun Kim; Todd P. Coleman (GlobalSIP, 2015)

Efficient total probability prediction via convex optimization and optimal transport. - Sanggyun Kim; Diego Mesa; Todd P. Coleman (ISIT, 2015)

A scalable framework to transform samples from one continuous distribution to another. - Diego Mesa; Sanggyun Kim; Todd P. Coleman (ISIT, 2015)

Scalable Microfabrication Procedures for Adhesive-Integrated Flexible and Stretchable Electronic Sensors. - Dae Y. Kang; Yun-Soung Kim; Gladys Ornelas; Mridu Sinha; Keerthiga Naidu; Todd P. Coleman (Sensors, 2015)

An Optimizer's Approach to Stochastic Control Problems With Nonclassical Information Structures. - Ankur A. Kulkarni; Todd P. Coleman (IEEE Trans. Autom. Control., 2015)

Directed Information Graphs. - Christopher J. Quinn; Negar Kiyavash; Todd P. Coleman (IEEE Trans. Inf. Theory, 2015)

Diffeomorphism learning via relative entropy constrained optimal transport. - Todd P. Coleman; Justin Tantiongloc; Alexis A. Allegra; Diego Mesa; Dae Y. Kang; Marcela Mendoza (GlobalSIP, 2016)

Efficient low-rank spectrotemporal decomposition using ADMM. - Gabriel Schamberg; Demba E. Ba; Mark Wagner; Todd P. Coleman (SSP, 2016)

Timing Channel: Achievable Rate in the Finite Block-Length Regime. - Thomas J. Riedl; Todd P. Coleman; Andrew C. Singer (CoRR, 2016)

Learning Minimal Latent Directed Information Polytrees. - Jalal Etesami; Negar Kiyavash; Todd P. Coleman (Neural Comput., 2016)

Dynamical systems, ergodicity, and posterior matching. - Todd P. Coleman (ISIT, 2017)

An Information and Control Framework for Optimizing User-Compliant Human-Computer Interfaces. - Justin Tantiongloc; Diego Mesa; Rui Ma 002; Sanggyun Kim; Cristian H. Alzate; Jaime J. Camacho; Vidya B. Manian; Todd P. Coleman (Proc. IEEE, 2017)

High-Resolution Electrogastrogram: A Novel, Noninvasive Method for Determining Gastric Slow-Wave Direction and Speed. - Armen A. Gharibans; Sanggyun Kim; David C. Kunkel; Todd P. Coleman (IEEE Trans. Biomed. Eng., 2017)

A Sample Path Measure of Causal Influence. - Gabriel Schamberg; Todd P. Coleman (ISIT, 2018)

Epidermal Electrode Technology for Detecting Ultrasonic Perturbation of Sensory Brain Activity. - Stanley Huang; Jonathan A. N. Fisher; Meijun Ye; Yun-Soung Kim; Rui Ma 002; Marjan Nabili; Victor Krauthamer; Matthew R. Myers; Todd P. Coleman; Cristin G. Welle (IEEE Trans. Biomed. Eng., 2018)

A State Space and Density Estimation Framework for Sleep Staging in Obstructive Sleep Apnea. - Dae Y. Kang; Pamela N. DeYoung; Atul Malhotra; Robert L. Owens; Todd P. Coleman (IEEE Trans. Biomed. Eng., 2018)

A Modularized Efficient Framework for Non-Markov Time Series Estimation. - Gabriel Schamberg; Demba E. Ba; Todd P. Coleman (IEEE Trans. Signal Process., 2018)

On the Bias of Directed Information Estimators. - Gabriel Schamberg; Todd P. Coleman (ISIT, 2019)

Construction and Analysis of Posterior Matching in Arbitrary Dimensions via Optimal Transport. - Diego A. Mesa; Rui Ma 002; Siva K. Gorantla; Todd P. Coleman (CoRR, 2019)

A Distributed Framework for the Construction of Transport Maps. - Diego A. Mesa; Justin Tantiongloc; Marcela Mendoza; Sanggyun Kim; Todd P. Coleman (Neural Comput., 2019)

Robust Methods to Detect Abnormal Initiation in the Gastric Slow Wave from Cutaneous Recordings. - Anjulie S. Agrusa; Alexis B. Allegra; David C. Kunkel; Todd P. Coleman (EMBC, 2020)

Direct and Indirect Effects - An Information Theoretic Perspective. - Gabriel Schamberg; William Chapman; Shang-Ping Xie; Todd P. Coleman (Entropy, 2020)

Smart Electronic Eyedrop Bottle for Unobtrusive Monitoring of Glaucoma Medication Adherence. - Marcelo Aguilar-Rivera; Dieanira T. Erudaitius; Vincent M. Wu; Justin Tantiongloc; Dae Y. Kang; Todd P. Coleman; Sally L. Baxter; Robert N. Weinreb (Sensors, 2020)

A Deep Convolutional Neural Network Approach to Classify Normal and Abnormal Gastric Slow Wave Initiation From the High Resolution Electrogastrogram. - Anjulie S. Agrusa; Armen A. Gharibans; Alexis A. Allegra; David C. Kunkel; Todd P. Coleman (IEEE Trans. Biomed. Eng., 2020)

Measuring Sample Path Causal Influences With Relative Entropy. - Gabriel Schamberg; Todd P. Coleman (IEEE Trans. Inf. Theory, 2020)

Sampling, variational Bayesian inference, and conditioned stochastic differential equations. - Todd P. Coleman; Maxim Raginsky (CDC, 2021)

Data-driven noise modeling of digital DNA melting analysis enables prediction of sequence discriminating power. - Lennart Langouche; April Joy C. Aralar; Mridu Sinha; Shelley M. Lawrence; Stephanie I Fraley; Todd P. Coleman (Bioinform., 2021)

Statistical uncertainty quantification to augment clinical decision support: a first implementation in sleep medicine. - Dae Y. Kang; Pamela N. DeYoung; Justin Tantiongloc; Todd P. Coleman; Robert L. Owens (npj Digit. Medicine, 2021)

A Mutual Information Measure of Phase-Amplitude Coupling using High Dimensional Sparse Models. - Andrew Perley; Todd P. Coleman (EMBC, 2022)

Automated classification of sleep and wake from single day triaxial accelerometer data. - Sandya Subramanian; Todd P. Coleman (EMBC, 2022)

Wireless Heart Sensor for Capturing Cardiac Orienting Response for Prediction of Neurodevelopmental Delay in Infants. - Marcelo Aguilar-Rivera; Julie A. Kable; Lyubov Yevtushok; Yaroslav Kulikovsky; Natalya Zymak-Zakutnya; Iryna Dubchak; Diana Akhmedzhanova; Wladimir Wertelecki; Christina Chambers; Todd P. Coleman (Sensors, 2022)

Simultaneous Gut-Brain Electrophysiology Shows Cognition and Satiety Specific Coupling. - Pragathi Priyadharsini Balasubramani; Anuja Walke; Gillian Grennan; Andrew Perley; Suzanna Purpura; Dhakshin Ramanathan; Todd P. Coleman; Jyoti Mishra (Sensors, 2022)

Robust Regression and Optimal Transport Methods to Predict Gastrointestinal Disease Etiology From High Resolution EGG and Symptom Severity. - Anjulie S. Agrusa; David C. Kunkel; Todd P. Coleman (IEEE Trans. Biomed. Eng., 2022)

A Convex Formulation of Point Process Heartbeat Dynamics using a Gamma Generalized Linear Model. - Andrew Perley; Sandya Subramanian; Todd P. Coleman (BSN, 2023)

Exploring the aperiodic nature of parasympathetic activity during sleep in idiopathic gastroparesis. - Sandya Subramanian; David C. Kunkel; Todd P. Coleman (EMBC, 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)

Exploring the Gut-Brain Connection in Gastroparesis With Autonomic and Gastric Myoelectric Monitoring. - Sandya Subramanian; David C. Kunkel; Linda Nguyen; Todd P. Coleman (IEEE Trans. Biomed. Eng., 2023)

An Efficient Framework for Solving a Convex, State-Space Heartbeat Dynamics Model. - Sabrina Liu; Andrew S. Perley; Todd P. Coleman (EMBC, 2024)

A mutual information measure of phase-amplitude coupling using gamma generalized linear models. - Andrew Perley; Todd P. Coleman (Frontiers Comput. Neurosci., 2024)

Machine learning based DNA melt curve profiling enables automated novel genotype detection. - Aaron Boussina; Lennart Langouche; Augustine C. Obirieze; Mridu Sinha; Hannah Mack; William Leineweber; April Joy C. Aralar; David T. Pride; Todd P. Coleman; Stephanie I Fraley (BMC Bioinform., 2024)

Graphical Models and Efficient Inference Methods for Multivariate Phase Probability Distributions. - Andrew S. Perley; Todd P. Coleman (CoRR, 2025)