Todd P. Coleman

119 papers B 33C 4Misc 6Journal 54Unranked 21

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Broadcasting Bits Through Discrete-Time Queues. ISIT Andrew S. Perley, Todd P. Coleman
2025	J	`jnl`	Graphical Models and Efficient Inference Methods for Multivariate Phase Probability Distributions. CoRR Andrew S. Perley, Todd P. Coleman
2025	B	`conf`	Inferring Dynamic Delays Using a Sample Path Causal Measure. ISIT Sabrina Liu, Todd P. Coleman
2025	J	`jnl`	Machine Learning Methods to Track Dynamic Facial Function in Facial Palsy. IEEE Trans. Biomed. Eng. Akshita A. Rao, Jacqueline J. Greene, Todd P. Coleman
2024	J	`jnl`	A mutual information measure of phase-amplitude coupling using gamma generalized linear models. Frontiers Comput. Neurosci. Andrew Perley, Todd P. Coleman
2024	—	`conf`	An Efficient Framework for Solving a Convex, State-Space Heartbeat Dynamics Model. EMBC Sabrina Liu, Andrew S. Perley, Todd P. Coleman
2024	J	`jnl`	Machine learning based DNA melt curve profiling enables automated novel genotype detection. BMC Bioinform. 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
2023	C	`conf`	A Convex Formulation of Point Process Heartbeat Dynamics using a Gamma Generalized Linear Model. BSN Andrew Perley, Sandya Subramanian, Todd P. Coleman
2023	J	`jnl`	Editorial Special Issue on Causality: Fundamental Limits and Applications. IEEE J. Sel. Areas Inf. Theory Negar Kiyavash, Elias Bareinboim, Todd P. Coleman, Alex Dimakis, Bernhard Schlkopf, Peter Spirtes, Kun Zhang, Robert Nowak
2023	J	`jnl`	Exploring the Gut-Brain Connection in Gastroparesis With Autonomic and Gastric Myoelectric Monitoring. IEEE Trans. Biomed. Eng. Sandya Subramanian, David C. Kunkel, Linda Nguyen, Todd P. Coleman
2023	—	`conf`	Exploring the aperiodic nature of parasympathetic activity during sleep in idiopathic gastroparesis. EMBC Sandya Subramanian, David C. Kunkel, Todd P. Coleman
2022	—	`conf`	A Mutual Information Measure of Phase-Amplitude Coupling using High Dimensional Sparse Models. EMBC Andrew Perley, Todd P. Coleman
2022	—	`conf`	Automated classification of sleep and wake from single day triaxial accelerometer data. EMBC Sandya Subramanian, Todd P. Coleman
2022	J	`jnl`	Robust Regression and Optimal Transport Methods to Predict Gastrointestinal Disease Etiology From High Resolution EGG and Symptom Severity. IEEE Trans. Biomed. Eng. Anjulie S. Agrusa, David C. Kunkel, Todd P. Coleman
2022	J	`jnl`	Simultaneous Gut-Brain Electrophysiology Shows Cognition and Satiety Specific Coupling. Sensors Pragathi Priyadharsini Balasubramani, Anuja Walke, Gillian Grennan, Andrew Perley, Suzanna Purpura, Dhakshin Ramanathan, Todd P. Coleman, Jyoti Mishra
2022	J	`jnl`	Wireless Heart Sensor for Capturing Cardiac Orienting Response for Prediction of Neurodevelopmental Delay in Infants. Sensors Marcelo Aguilar-Rivera, Julie A. Kable, Lyubov Yevtushok, Yaroslav Kulikovsky, Natalya Zymak-Zakutnya, Iryna Dubchak, Diana Akhmedzhanova, Wladimir Wertelecki, Christina Chambers, Todd P. Coleman
2021	J	`jnl`	Data-driven noise modeling of digital DNA melting analysis enables prediction of sequence discriminating power. Bioinform. Lennart Langouche, April Joy C. Aralar, Mridu Sinha, Shelley M. Lawrence, Stephanie I Fraley, Todd P. Coleman
2021	—	`conf`	Sampling, variational Bayesian inference, and conditioned stochastic differential equations. CDC Todd P. Coleman, Maxim Raginsky
2021	J	`jnl`	Statistical uncertainty quantification to augment clinical decision support: a first implementation in sleep medicine. npj Digit. Medicine Dae Y. Kang, Pamela N. DeYoung, Justin Tantiongloc, Todd P. Coleman, Robert L. Owens
2020	J	`jnl`	A Deep Convolutional Neural Network Approach to Classify Normal and Abnormal Gastric Slow Wave Initiation From the High Resolution Electrogastrogram. IEEE Trans. Biomed. Eng. Anjulie S. Agrusa, Armen A. Gharibans, Alexis A. Allegra, David C. Kunkel, Todd P. Coleman
2020	J	`jnl`	Direct and Indirect Effects - An Information Theoretic Perspective. Entropy Gabriel Schamberg, William Chapman, Shang-Ping Xie, Todd P. Coleman
2020	J	`jnl`	Measuring Sample Path Causal Influences With Relative Entropy. IEEE Trans. Inf. Theory Gabriel Schamberg, Todd P. Coleman
2020	—	`conf`	Robust Methods to Detect Abnormal Initiation in the Gastric Slow Wave from Cutaneous Recordings. EMBC Anjulie S. Agrusa, Alexis B. Allegra, David C. Kunkel, Todd P. Coleman
2020	J	`jnl`	Smart Electronic Eyedrop Bottle for Unobtrusive Monitoring of Glaucoma Medication Adherence. Sensors Marcelo Aguilar-Rivera, Dieanira T. Erudaitius, Vincent M. Wu, Justin Tantiongloc, Dae Y. Kang, Todd P. Coleman, Sally L. Baxter, Robert N. Weinreb
2019	J	`jnl`	A Distributed Framework for the Construction of Transport Maps. Neural Comput. Diego A. Mesa, Justin Tantiongloc, Marcela Mendoza, Sanggyun Kim, Todd P. Coleman
2019	J	`jnl`	Construction and Analysis of Posterior Matching in Arbitrary Dimensions via Optimal Transport. CoRR Diego A. Mesa, Rui Ma, Siva K. Gorantla, Todd P. Coleman
2019	J	`jnl`	Direct and Indirect Effects - An Information Theoretic Perspective. CoRR Gabriel Schamberg, William Chapman, Shang-Ping Xie, Todd P. Coleman
2019	B	`conf`	On the Bias of Directed Information Estimators. ISIT Gabriel Schamberg, Todd P. Coleman
2019	J	`jnl`	On the Bias of Directed Information Estimators. CoRR Gabriel Schamberg, Todd P. Coleman
2018	J	`jnl`	A Modularized Efficient Framework for Non-Markov Time Series Estimation. IEEE Trans. Signal Process. Gabriel Schamberg, Demba E. Ba, Todd P. Coleman
2018	B	`conf`	A Sample Path Measure of Causal Influence. ISIT Gabriel Schamberg, Todd P. Coleman
2018	J	`jnl`	A Sample Path Measure of Causal Influence. CoRR Gabriel Schamberg, Todd P. Coleman
2018	J	`jnl`	A State Space and Density Estimation Framework for Sleep Staging in Obstructive Sleep Apnea. IEEE Trans. Biomed. Eng. Dae Y. Kang, Pamela N. DeYoung, Atul Malhotra, Robert L. Owens, Todd P. Coleman
2018	J	`jnl`	Epidermal Electrode Technology for Detecting Ultrasonic Perturbation of Sensory Brain Activity. IEEE Trans. Biomed. Eng. Stanley Huang, Jonathan A. N. Fisher, Meijun Ye, Yun-Soung Kim, Rui Ma, Marjan Nabili, Victor Krauthamer, Matthew R. Myers, Todd P. Coleman, Cristin G. Welle
2018	J	`jnl`	Measuring Sample Path Causal Influences with Relative Entropy. CoRR Gabriel Schamberg, Todd P. Coleman
2017	J	`jnl`	A Modularized Efficient Framework for Non-Markov Time Series Estimation. CoRR Gabriel Schamberg, Demba E. Ba, Todd P. Coleman
2017	J	`jnl`	An Information and Control Framework for Optimizing User-Compliant Human-Computer Interfaces. Proc. IEEE Justin Tantiongloc, Diego Mesa, Rui Ma, Sanggyun Kim, Cristian H. Alzate, Jaime J. Camacho, Vidya B. Manian, Todd P. Coleman
2017	B	`conf`	Dynamical systems, ergodicity, and posterior matching. ISIT Todd P. Coleman
2017	J	`jnl`	High-Resolution Electrogastrogram: A Novel, Noninvasive Method for Determining Gastric Slow-Wave Direction and Speed. IEEE Trans. Biomed. Eng. Armen A. Gharibans, Sanggyun Kim, David C. Kunkel, Todd P. Coleman
2016	—	`conf`	Diffeomorphism learning via relative entropy constrained optimal transport. GlobalSIP Todd P. Coleman, Justin Tantiongloc, Alexis A. Allegra, Diego Mesa, Dae Y. Kang, Marcela Mendoza
2016	—	`conf`	Efficient low-rank spectrotemporal decomposition using ADMM. SSP Gabriel Schamberg, Demba E. Ba, Mark Wagner, Todd P. Coleman
2016	J	`jnl`	Learning Minimal Latent Directed Information Polytrees. Neural Comput. Jalal Etesami, Negar Kiyavash, Todd P. Coleman
2016	J	`jnl`	Timing Channel: Achievable Rate in the Finite Block-Length Regime. CoRR Thomas J. Riedl, Todd P. Coleman, Andrew C. Singer
2015	B	`conf`	A scalable framework to transform samples from one continuous distribution to another. ISIT Diego Mesa, Sanggyun Kim, Todd P. Coleman
2015	J	`jnl`	An Optimizer's Approach to Stochastic Control Problems With Nonclassical Information Structures. IEEE Trans. Autom. Control. Ankur A. Kulkarni, Todd P. Coleman
2015	—	`conf`	Bayesian LASSO in a distributed architecture. GlobalSIP Marcela Mendoza, Sanggyun Kim, Todd P. Coleman
2015	J	`jnl`	Directed Information Graphs. IEEE Trans. Inf. Theory Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2015	B	`conf`	Efficient total probability prediction via convex optimization and optimal transport. ISIT Sanggyun Kim, Diego Mesa, Todd P. Coleman
2015	J	`jnl`	Scalable Microfabrication Procedures for Adhesive-Integrated Flexible and Stretchable Electronic Sensors. Sensors Dae Y. Kang, Yun-Soung Kim, Gladys Ornelas, Mridu Sinha, Keerthiga Naidu, Todd P. Coleman
2014	J	`jnl`	Dynamic and Succinct Statistical Analysis of Neuroscience Data. Proc. IEEE Sanggyun Kim, Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2014	B	`conf`	Necessary and sufficient conditions for reliability of posterior matching in arbitrary dimensions. ISIT Rui Ma, Todd P. Coleman
2013	J	`jnl`	A Timing Channel Spyware for the CSMA/CA Protocol. IEEE Trans. Inf. Forensics Secur. Negar Kiyavash, Farinaz Koushanfar, Todd P. Coleman, Mavis Rodrigues
2013	J	`jnl`	An Optimizer's Approach to Stochastic Control Problems with Nonclassical Information Structures. CoRR Ankur A. Kulkarni, Todd P. Coleman
2013	J	`jnl`	Bit-Wise Unequal Error Protection for Variable-Length Block Codes With Feedback. IEEE Trans. Inf. Theory Baris Nakiboglu, Siva K. Gorantla, Lizhong Zheng, Todd P. Coleman
2013	B	`conf`	Efficient Bayesian inference methods via convex optimization and optimal transport. ISIT Sanggyun Kim, Rui Ma, Diego Mesa, Todd P. Coleman
2013	J	`jnl`	Efficient Methods to Compute Optimal Tree Approximations of Directed Information Graphs. IEEE Trans. Signal Process. Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2013	J	`jnl`	Grand Challenges in Mapping the Human Brain: NSF Workshop Report. IEEE Trans. Biomed. Eng. Bin He, Todd P. Coleman, Guy M. Genin, Gary Glover, Xiaoping Hu, Nessa Johnson, Tianming Liu, Scott Makeig, Paul Sajda, Kaiming Ye
2013	B	`conf`	Robust directed tree approximations for networks of stochastic processes. ISIT Christopher J. Quinn, Jalal Etesami, Negar Kiyavash, Todd P. Coleman
2012	—	`conf`	An optimizer's approach to stochastic control problems with nonclassical information structures. CDC Ankur A. Kulkarni, Todd P. Coleman
2012	J	`jnl`	Characterizing the Efficacy of the NRL Network Pump in Mitigating Covert Timing Channels. IEEE Trans. Inf. Forensics Secur. Siva K. Gorantla, Sachin Kadloor, Negar Kiyavash, Todd P. Coleman, Ira S. Moskowitz, Myong H. Kang
2012	—	`conf`	Clustering large networks of parametric dynamic generative models. CDC Yunwen Xu, Sanggyun Kim, Srinivasa M. Salapaka, Carolyn L. Beck, Todd P. Coleman
2012	J	`jnl`	Directed Information Graphs CoRR Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2012	—	`conf`	Granger causality analysis of functional connectivity of spiking neurons in orofacial motor cortex during chewing and swallowing. EMBC Kazutaka Takahashi, Lorenzo L. Pesce, Jose Iriarte-Diaz, Sanggyun Kim, Todd P. Coleman, Nicholas G. Hatsopoulos, Callum F. Ross
2012	—	`conf`	Granger causality analysis of state dependent functional connectivity of neurons in orofacial motor cortex during chewing and swallowing. SCIS&ISIS Kazutaka Takahashi, Lorenzo L. Pesce, Jose Iriarte-Diaz, Matthew D. Best, Sanggyun Kim, Todd P. Coleman, Nicholas G. Hatsopoulos, Callum F. Ross
2012	B	`conf`	Learning minimal latent directed information trees. ISIT Jalal Etesami, Negar Kiyavash, Todd P. Coleman
2012	Misc	`conf`	Practical sensor management for an energy-limited detection system. ICASSP David M. Jun, Douglas L. Jones, Todd P. Coleman, Wendy J. Leonard, Rama Ratnam
2011	J	`jnl`	A Feedback Information-Theoretic Approach to the Design of Brain-Computer Interfaces. Int. J. Hum. Comput. Interact. Cyrus Omar, Abdullah Akce, Miles Johnson, Timothy Bretl, Rui Ma, Edward L. Maclin, Martin McCormick, Todd P. Coleman
2011	J	`jnl`	A Message-Passing Approach to Combating Desynchronization Attacks. IEEE Trans. Inf. Forensics Secur. Shankar Sadasivam, Pierre Moulin, Todd P. Coleman
2011	B	`conf`	A memoryless channel coding methodology for infinite-memory queuing timing channels. ISIT Christopher Li, Tong Cheng, Todd P. Coleman
2011	—	`conf`	A minimal approach to causal inference on topologies with bounded indegree. CDC/ECC Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2011	J	`jnl`	Causal Dependence Tree Approximations of Joint Distributions for Multiple Random Processes CoRR Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash
2011	B	`conf`	Equivalence between minimal generative model graphs and directed information graphs. ISIT Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
2011	B	`conf`	Equivalence between reliable feedback communication and nonlinear filter stability. ISIT Siva K. Gorantla, Todd P. Coleman
2011	J	`jnl`	Estimating the directed information to infer causal relationships in ensemble neural spike train recordings. J. Comput. Neurosci. Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash, Nicholas G. Hatsopoulos
2011	B	`conf`	Finite block-length achievable rates for queuing timing channels. ITW Thomas J. Riedl, Todd P. Coleman, Andrew C. Singer
2011	—	`conf`	Generalizing the Posterior Matching Scheme to higher dimensions via optimal transportation. Allerton Rui Ma, Todd P. Coleman
2011	—	`conf`	Information transfer between neurons in the motor cortex triggered by visual cues. EMBC Sanggyun Kim, Kazutaka Takahashi, Nicholas G. Hatsopoulos, Todd P. Coleman
2011	J	`jnl`	Information-Theoretic Viewpoints on Optimal Causal Coding-Decoding Problems CoRR Siva K. Gorantla, Todd P. Coleman
2011	J	`jnl`	Multi-layer Bit-wise Unequal Error Protection for Variable Length Blockcodes with Feedback CoRR Siva K. Gorantla, Baris Nakiboglu, Todd P. Coleman, Lizhong Zheng
2011	B	`conf`	Special session on information theory and neuroscience at ISIT 2011. ISIT Todd P. Coleman, Aurel A. Lazar
2010	J	`jnl`	A Computationally Efficient Method for Nonparametric Modeling of Neural Spiking Activity with Point Processes. Neural Comput. Todd P. Coleman, Sridevi S. Sarma
2010	J	`jnl`	A dynamical point process model of auditory nerve spiking in response to complex sounds. J. Comput. Neurosci. Andrea Trevino, Todd P. Coleman, Jont B. Allen
2010	—	`conf`	A stochastic control approach to coding with feedback over degraded broadcast channels. CDC Siva K. Gorantla, Todd P. Coleman
2010	Misc	`conf`	An analytic spatial filter and a hidden Markov model for enhanced information transfer rate in EEG-based brain computer interfaces. ICASSP Martin McCormick, Rui Ma, Todd P. Coleman
2010	C	`conf`	Approximating discrete probability distributions with causal dependence trees. ISITA Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash
2010	B	`conf`	Bit-wise unequal error protection for variable length blockcodes with feedback. ISIT Siva K. Gorantla, Baris Nakiboglu, Todd P. Coleman, Lizhong Zheng
2010	C	`conf`	Directed information and the NRL Network Pump. ISITA Siva K. Gorantla, Sachin Kadloor, Todd P. Coleman, Negar Kiyavash, Ira S. Moskowitz, Myong H. Kang
2010	J	`jnl`	Introduction to the special issue on information theory in molecular biology and neuroscience. IEEE Trans. Inf. Theory Olgica Milenkovic, Gil Alterovitz, Gerard Battail, Todd P. Coleman, Joachim Hagenauer, Sean P. Meyn, Nathan D. Price, Marco Ramoni, Ilya Shmulevich, Wojciech Szpankowski
2010	B	`conf`	Mutual information saddle points in channels of exponential family type. ISIT Todd P. Coleman, Maxim Raginsky
2010	B	`conf`	On reversible Markov chains and maximization of directed information. ISIT Siva K. Gorantla, Todd P. Coleman
2010	B	`conf`	Source coding with feedforward using the posterior matching scheme. ISIT Hani-James Ebeid, Todd P. Coleman
2009	J	`jnl`	A low-complexity universal scheme for rate-constrained distributed regression using a wireless sensor network. IEEE Trans. Signal Process. Avon L. Fernandes, Maxim Raginsky, Todd P. Coleman
2009	B	`conf`	A simple memoryless proof of the capacity of the exponential server timing channel. ITW Todd P. Coleman
2009	B	`conf`	A stochastic control viewpoint on 'Posterior Matching'-style feedback communication schemes. ISIT Todd P. Coleman
2009	Misc	`conf`	Covert timing channels codes for communication over interactive traffic. ICASSP Negar Kiyavash, Todd P. Coleman
2009	J	`jnl`	Joint source-channel coding for transmitting correlated sources over broadcast networks. IEEE Trans. Inf. Theory Todd P. Coleman, Emin Martinian, Erik Ordentlich
2009	—	`conf`	Novel Shaping and Complexity-Reduction Techniques for Approaching Capacity over Queuing Timing Channels. ICC Negar Kiyavash, Todd P. Coleman, Mavis Rodrigues
2009	—	`conf`	The parabigeminal nucleus as a recursive estimator. CDC Rui Ma, Todd P. Coleman, Joseph G. Malpeli
2008	Misc	`conf`	A low-complexity universal scheme for rate-constrained distributed regression using a wireless sensor network. ICASSP Avon L. Fernandes, Maxim Raginsky, Todd P. Coleman
2008	C	`conf`	Policies for neural prosthetic control: Initial experiments with a text interface. ACC Cyrus Omar, Miles Johnson, Timothy Bretl, Todd P. Coleman
2008	B	`conf`	Practical codes for queueing channels: An algebraic, state-space, message-passing approach. ITW Todd P. Coleman, Negar Kiyavash
2008	Misc	`conf`	Querying the user properly for high-performance brain-machine interfaces: Recursive estimation, control, and feedback information-theoretic perspectives. ICASSP Cyrus Omar, Miles Johnson, Timothy Bretl, Todd P. Coleman
2008	Misc	`conf`	Sparse graph codes and practical decoding algorithms for communicating over packet timings in networks. CISS Todd P. Coleman, Negar Kiyavash
2008	B	`conf`	The Rate-Distortion Function of a Poisson Process with a Queueing Distortion Measure. DCC Todd P. Coleman, Negar Kiyavash, Vijay G. Subramanian
2008	B	`conf`	Using stochastic control with data compression perspectives to enhance P300 Neural Communication Prostheses. ITW Julian Jarzebowski, Lakshminarayan Srinivasan, Todd P. Coleman
2007	—	`conf`	A computationally efficient method for modeling neural spiking activity with point processes nonparametrically. CDC Todd P. Coleman, Sridevi S. Sarma
2007	B	`conf`	Using Convex Optimization for Nonparametric Statistical Analysis of Point Processes. ISIT Todd P. Coleman, Sridevi S. Sarma
2006	B	`conf`	Joint Source-Channel Decoding for Transmitting Correlated Sources over Broadcast Networks. ISIT Todd P. Coleman, Emin Martinian, Erik Ordentlich
2006	J	`jnl`	Low-Complexity Approaches to Slepian-Wolf Near-Lossless Distributed Data Compression. IEEE Trans. Inf. Theory Todd P. Coleman, Anna H. Lee, Muriel Médard, Michelle Effros
2006	—	`—`	Low-complexity approaches to distributed data dissemination. Todd P. Coleman
2006	B	`conf`	Time-Sharing Vs. Source-Splitting in the Slepian-Wolf Problem: Error Exponents Analysis. DCC Todd P. Coleman, Muriel Médard, Michelle Effros
2005	B	`conf`	Interference management via capacity-achieving codes for the deterministic broadcast channel. ITW Todd P. Coleman, Emin Martinian, Michelle Effros, Muriel Médard
2005	B	`conf`	Rate-splitting for the deterministic broadcast channel. ISIT Todd P. Coleman, Michelle Effros, Emin Martinian, Muriel Médard
2005	B	`conf`	Towards Practical Minimum-Entropy Universal Decoding. DCC Todd P. Coleman, Muriel Médard, Michelle Effros
2005	—	`conf`	Towards bridging the gap between theory and practice for the Slepian-Wolf problem. ICASSP (5) Todd P. Coleman, Muriel Médard, Michelle Effros
2004	J	`jnl`	A distributed scheme for achieving energy-delay tradeoffs with multiple service classes over a dynamically varying network. IEEE J. Sel. Areas Commun. Todd P. Coleman, Muriel Médard
2004	B	`conf`	A new source-splitting approach to the slepian-wolf problem. ISIT Todd P. Coleman, Anna H. Lee, Muriel Médard, Michelle Effros
2004	J	`jnl`	Capacity of time-slotted ALOHA packetized multiple-access systems over the AWGN channel. IEEE Trans. Wirel. Commun. Muriel Médard, Jianyi Huang, Andrea J. Goldsmith, Sean P. Meyn, Todd P. Coleman
2004	B	`conf`	On Some New Approaches to Practical Slepian-Wolf Compression Inspired by Channel Coding. Data Compression Conference Todd P. Coleman, Anna H. Lee, Muriel Médard, Michelle Effros