Todd P. Coleman

ORCID

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 37

Top Venues

CoRR

ISIT

IEEE Trans. Biomed. Eng.

Sensors

Massachusetts Institute of Technology, Cambridge, MA, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, MA, USA

PHD

Publications

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
Machine learning based DNA melt curve profiling enables automated novel genotype detection. BMC Bioinform. 25 (1) (2024)
Negar Kiyavash, Elias Bareinboim, Todd P. Coleman, Alex Dimakis, Bernhard Schlkopf, Peter Spirtes, Kun Zhang, Robert Nowak
Editorial Special Issue on Causality: Fundamental Limits and Applications. IEEE J. Sel. Areas Inf. Theory 4 (2023)
Sandya Subramanian, David C. Kunkel, Linda Nguyen, Todd P. Coleman
Exploring the Gut-Brain Connection in Gastroparesis With Autonomic and Gastric Myoelectric Monitoring. IEEE Trans. Biomed. Eng. 70 (12) (2023)
Andrew Perley, Sandya Subramanian, Todd P. Coleman
A Convex Formulation of Point Process Heartbeat Dynamics using a Gamma Generalized Linear Model. BSN (2023)
Sandya Subramanian, David C. Kunkel, Todd P. Coleman
Exploring the aperiodic nature of parasympathetic activity during sleep in idiopathic gastroparesis. EMBC (2023)
Andrew Perley, Todd P. Coleman
A Mutual Information Measure of Phase-Amplitude Coupling using High Dimensional Sparse Models. EMBC (2022)
Anjulie S. Agrusa, David C. Kunkel, Todd P. Coleman
Robust Regression and Optimal Transport Methods to Predict Gastrointestinal Disease Etiology From High Resolution EGG and Symptom Severity. IEEE Trans. Biomed. Eng. 69 (11) (2022)
Pragathi Priyadharsini Balasubramani, Anuja Walke, Gillian Grennan, Andrew Perley, Suzanna Purpura, Dhakshin Ramanathan, Todd P. Coleman, Jyoti Mishra
Simultaneous Gut-Brain Electrophysiology Shows Cognition and Satiety Specific Coupling. Sensors 22 (23) (2022)
Sandya Subramanian, Todd P. Coleman
Automated classification of sleep and wake from single day triaxial accelerometer data. EMBC (2022)
Marcelo Aguilar-Rivera, Julie A. Kable, Lyubov Yevtushok, Yaroslav Kulikovsky, Natalya Zymak-Zakutnya, Iryna Dubchak, Diana Akhmedzhanova, Wladimir Wertelecki, Christina Chambers, Todd P. Coleman
Wireless Heart Sensor for Capturing Cardiac Orienting Response for Prediction of Neurodevelopmental Delay in Infants. Sensors 22 (23) (2022)
Lennart Langouche, April Joy C. Aralar, Mridu Sinha, Shelley M. Lawrence, Stephanie I Fraley, Todd P. Coleman
Data-driven noise modeling of digital DNA melting analysis enables prediction of sequence discriminating power. Bioinform. 36 (22-23) (2021)
Todd P. Coleman, Maxim Raginsky
Sampling, variational Bayesian inference, and conditioned stochastic differential equations. CDC (2021)
Dae Y. Kang, Pamela N. DeYoung, Justin Tantiongloc, Todd P. Coleman, Robert L. Owens
Statistical uncertainty quantification to augment clinical decision support: a first implementation in sleep medicine. npj Digit. Medicine 4 (2021)
Gabriel Schamberg, Todd P. Coleman
Measuring Sample Path Causal Influences With Relative Entropy. IEEE Trans. Inf. Theory 66 (5) (2020)
Anjulie S. Agrusa, Armen A. Gharibans, Alexis A. Allegra, David C. Kunkel, Todd P. Coleman
A Deep Convolutional Neural Network Approach to Classify Normal and Abnormal Gastric Slow Wave Initiation From the High Resolution Electrogastrogram. IEEE Trans. Biomed. Eng. 67 (3) (2020)
Gabriel Schamberg, William Chapman, Shang-Ping Xie, Todd P. Coleman
Direct and Indirect Effects - An Information Theoretic Perspective. Entropy 22 (8) (2020)
Anjulie S. Agrusa, Alexis B. Allegra, David C. Kunkel, Todd P. Coleman
Robust Methods to Detect Abnormal Initiation in the Gastric Slow Wave from Cutaneous Recordings. EMBC (2020)
Marcelo Aguilar-Rivera, Dieanira T. Erudaitius, Vincent M. Wu, Justin Tantiongloc, Dae Y. Kang, Todd P. Coleman, Sally L. Baxter, Robert N. Weinreb
Smart Electronic Eyedrop Bottle for Unobtrusive Monitoring of Glaucoma Medication Adherence. Sensors 20 (9) (2020)
Gabriel Schamberg, Todd P. Coleman
On the Bias of Directed Information Estimators. ISIT (2019)
Gabriel Schamberg, Todd P. Coleman
On the Bias of Directed Information Estimators. CoRR (2019)
Diego A. Mesa, Justin Tantiongloc, Marcela Mendoza, Sanggyun Kim, Todd P. Coleman
A Distributed Framework for the Construction of Transport Maps. Neural Comput. 31 (4) (2019)
Gabriel Schamberg, William Chapman, Shang-Ping Xie, Todd P. Coleman
Direct and Indirect Effects - An Information Theoretic Perspective. CoRR (2019)
Diego A. Mesa, Rui Ma, Siva K. Gorantla, Todd P. Coleman
Construction and Analysis of Posterior Matching in Arbitrary Dimensions via Optimal Transport. CoRR (2019)
Gabriel Schamberg, Todd P. Coleman
A Sample Path Measure of Causal Influence. CoRR (2018)
Dae Y. Kang, Pamela N. DeYoung, Atul Malhotra, Robert L. Owens, Todd P. Coleman
A State Space and Density Estimation Framework for Sleep Staging in Obstructive Sleep Apnea. IEEE Trans. Biomed. Eng. 65 (6) (2018)
Gabriel Schamberg, Todd P. Coleman
A Sample Path Measure of Causal Influence. ISIT (2018)
Gabriel Schamberg, Todd P. Coleman
Measuring Sample Path Causal Influences with Relative Entropy. CoRR (2018)
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
Epidermal Electrode Technology for Detecting Ultrasonic Perturbation of Sensory Brain Activity. IEEE Trans. Biomed. Eng. 65 (6) (2018)
Gabriel Schamberg, Demba E. Ba, Todd P. Coleman
A Modularized Efficient Framework for Non-Markov Time Series Estimation. IEEE Trans. Signal Process. 66 (12) (2018)
Todd P. Coleman
Dynamical systems, ergodicity, and posterior matching. ISIT (2017)
Armen A. Gharibans, Sanggyun Kim, David C. Kunkel, Todd P. Coleman
High-Resolution Electrogastrogram: A Novel, Noninvasive Method for Determining Gastric Slow-Wave Direction and Speed. IEEE Trans. Biomed. Eng. 64 (4) (2017)
Gabriel Schamberg, Demba E. Ba, Todd P. Coleman
A Modularized Efficient Framework for Non-Markov Time Series Estimation. CoRR (2017)
Justin Tantiongloc, Diego Mesa, Rui Ma, Sanggyun Kim, Cristian H. Alzate, Jaime J. Camacho, Vidya B. Manian, Todd P. Coleman
An Information and Control Framework for Optimizing User-Compliant Human-Computer Interfaces. Proc. IEEE 105 (2) (2017)
Todd P. Coleman, Justin Tantiongloc, Alexis A. Allegra, Diego Mesa, Dae Y. Kang, Marcela Mendoza
Diffeomorphism learning via relative entropy constrained optimal transport. GlobalSIP (2016)
Jalal Etesami, Negar Kiyavash, Todd P. Coleman
Learning Minimal Latent Directed Information Polytrees. Neural Comput. 28 (9) (2016)
Gabriel Schamberg, Demba E. Ba, Mark Wagner, Todd P. Coleman
Efficient low-rank spectrotemporal decomposition using ADMM. SSP (2016)
Thomas J. Riedl, Todd P. Coleman, Andrew C. Singer
Timing Channel: Achievable Rate in the Finite Block-Length Regime. CoRR (2016)
Ankur A. Kulkarni, Todd P. Coleman
An Optimizer's Approach to Stochastic Control Problems With Nonclassical Information Structures. IEEE Trans. Autom. Control. 60 (4) (2015)
Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
Directed Information Graphs. IEEE Trans. Inf. Theory 61 (12) (2015)
Marcela Mendoza, Sanggyun Kim, Todd P. Coleman
Bayesian LASSO in a distributed architecture. GlobalSIP (2015)
Sanggyun Kim, Diego Mesa, Todd P. Coleman
Efficient total probability prediction via convex optimization and optimal transport. ISIT (2015)
Diego Mesa, Sanggyun Kim, Todd P. Coleman
A scalable framework to transform samples from one continuous distribution to another. ISIT (2015)
Dae Y. Kang, Yun-Soung Kim, Gladys Ornelas, Mridu Sinha, Keerthiga Naidu, Todd P. Coleman
Scalable Microfabrication Procedures for Adhesive-Integrated Flexible and Stretchable Electronic Sensors. Sensors 15 (9) (2015)
Sanggyun Kim, Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
Dynamic and Succinct Statistical Analysis of Neuroscience Data. Proc. IEEE 102 (5) (2014)
Rui Ma, Todd P. Coleman
Necessary and sufficient conditions for reliability of posterior matching in arbitrary dimensions. ISIT (2014)
Sanggyun Kim, Rui Ma, Diego Mesa, Todd P. Coleman
Efficient Bayesian inference methods via convex optimization and optimal transport. ISIT (2013)
Christopher J. Quinn, Jalal Etesami, Negar Kiyavash, Todd P. Coleman
Robust directed tree approximations for networks of stochastic processes. ISIT (2013)
Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
Efficient Methods to Compute Optimal Tree Approximations of Directed Information Graphs. IEEE Trans. Signal Process. 61 (12) (2013)
Bin He, Todd P. Coleman, Guy M. Genin, Gary Glover, Xiaoping Hu, Nessa Johnson, Tianming Liu, Scott Makeig, Paul Sajda, Kaiming Ye
Grand Challenges in Mapping the Human Brain: NSF Workshop Report. IEEE Trans. Biomed. Eng. 60 (11) (2013)
Baris Nakiboglu, Siva K. Gorantla, Lizhong Zheng, Todd P. Coleman
Bit-Wise Unequal Error Protection for Variable-Length Block Codes With Feedback. IEEE Trans. Inf. Theory 59 (3) (2013)
Negar Kiyavash, Farinaz Koushanfar, Todd P. Coleman, Mavis Rodrigues
A Timing Channel Spyware for the CSMA/CA Protocol. IEEE Trans. Inf. Forensics Secur. 8 (3) (2013)
Ankur A. Kulkarni, Todd P. Coleman
An Optimizer's Approach to Stochastic Control Problems with Nonclassical Information Structures. CoRR (2013)
David M. Jun, Douglas L. Jones, Todd P. Coleman, Wendy J. Leonard, Rama Ratnam
Practical sensor management for an energy-limited detection system. ICASSP (2012)
Jalal Etesami, Negar Kiyavash, Todd P. Coleman
Learning minimal latent directed information trees. ISIT (2012)
Kazutaka Takahashi, Lorenzo L. Pesce, Jose Iriarte-Diaz, Sanggyun Kim, Todd P. Coleman, Nicholas G. Hatsopoulos, Callum F. Ross
Granger causality analysis of functional connectivity of spiking neurons in orofacial motor cortex during chewing and swallowing. EMBC (2012)
Ankur A. Kulkarni, Todd P. Coleman
An optimizer's approach to stochastic control problems with nonclassical information structures. CDC (2012)
Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
Directed Information Graphs CoRR (2012)
Siva K. Gorantla, Sachin Kadloor, Negar Kiyavash, Todd P. Coleman, Ira S. Moskowitz, Myong H. Kang
Characterizing the Efficacy of the NRL Network Pump in Mitigating Covert Timing Channels. IEEE Trans. Inf. Forensics Secur. 7 (1) (2012)
Yunwen Xu, Sanggyun Kim, Srinivasa M. Salapaka, Carolyn L. Beck, Todd P. Coleman
Clustering large networks of parametric dynamic generative models. CDC (2012)
Kazutaka Takahashi, Lorenzo L. Pesce, Jose Iriarte-Diaz, Matthew D. Best, Sanggyun Kim, Todd P. Coleman, Nicholas G. Hatsopoulos, Callum F. Ross
Granger causality analysis of state dependent functional connectivity of neurons in orofacial motor cortex during chewing and swallowing. SCIS&ISIS (2012)
Siva K. Gorantla, Todd P. Coleman
Information-Theoretic Viewpoints on Optimal Causal Coding-Decoding Problems CoRR (2011)
Sanggyun Kim, Kazutaka Takahashi, Nicholas G. Hatsopoulos, Todd P. Coleman
Information transfer between neurons in the motor cortex triggered by visual cues. EMBC (2011)
Todd P. Coleman, Aurel A. Lazar
Special session on information theory and neuroscience at ISIT 2011. ISIT (2011)
Thomas J. Riedl, Todd P. Coleman, Andrew C. Singer
Finite block-length achievable rates for queuing timing channels. ITW (2011)
Rui Ma, Todd P. Coleman
Generalizing the Posterior Matching Scheme to higher dimensions via optimal transportation. Allerton (2011)
Christopher Li, Tong Cheng, Todd P. Coleman
A memoryless channel coding methodology for infinite-memory queuing timing channels. ISIT (2011)
Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
A minimal approach to causal inference on topologies with bounded indegree. CDC/ECC (2011)
Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash
Causal Dependence Tree Approximations of Joint Distributions for Multiple Random Processes CoRR (2011)
Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman
Equivalence between minimal generative model graphs and directed information graphs. ISIT (2011)
Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash, Nicholas G. Hatsopoulos
Estimating the directed information to infer causal relationships in ensemble neural spike train recordings. J. Comput. Neurosci. 30 (1) (2011)
Siva K. Gorantla, Baris Nakiboglu, Todd P. Coleman, Lizhong Zheng
Multi-layer Bit-wise Unequal Error Protection for Variable Length Blockcodes with Feedback CoRR (2011)
Cyrus Omar, Abdullah Akce, Miles Johnson, Timothy Bretl, Rui Ma, Edward L. Maclin, Martin McCormick, Todd P. Coleman
A Feedback Information-Theoretic Approach to the Design of Brain-Computer Interfaces. Int. J. Hum. Comput. Interact. 27 (1) (2011)
Shankar Sadasivam, Pierre Moulin, Todd P. Coleman
A Message-Passing Approach to Combating Desynchronization Attacks. IEEE Trans. Inf. Forensics Secur. 6 (3-2) (2011)
Siva K. Gorantla, Todd P. Coleman
Equivalence between reliable feedback communication and nonlinear filter stability. ISIT (2011)
Andrea Trevino, Todd P. Coleman, Jont B. Allen
A dynamical point process model of auditory nerve spiking in response to complex sounds. J. Comput. Neurosci. 29 (1-2) (2010)
Todd P. Coleman, Sridevi S. Sarma
A Computationally Efficient Method for Nonparametric Modeling of Neural Spiking Activity with Point Processes. Neural Comput. 22 (8) (2010)
Siva K. Gorantla, Todd P. Coleman
On reversible Markov chains and maximization of directed information. ISIT (2010)
Siva K. Gorantla, Todd P. Coleman
A stochastic control approach to coding with feedback over degraded broadcast channels. CDC (2010)
Siva K. Gorantla, Sachin Kadloor, Todd P. Coleman, Negar Kiyavash, Ira S. Moskowitz, Myong H. Kang
Directed information and the NRL Network Pump. ISITA (2010)
Hani-James Ebeid, Todd P. Coleman
Source coding with feedforward using the posterior matching scheme. ISIT (2010)
Siva K. Gorantla, Baris Nakiboglu, Todd P. Coleman, Lizhong Zheng
Bit-wise unequal error protection for variable length blockcodes with feedback. ISIT (2010)
Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash
Approximating discrete probability distributions with causal dependence trees. ISITA (2010)
Todd P. Coleman, Maxim Raginsky
Mutual information saddle points in channels of exponential family type. ISIT (2010)
Olgica Milenkovic, Gil Alterovitz, Gerard Battail, Todd P. Coleman, Joachim Hagenauer, Sean P. Meyn, Nathan D. Price, Marco Ramoni, Ilya Shmulevich, Wojciech Szpankowski
Introduction to the special issue on information theory in molecular biology and neuroscience. IEEE Trans. Inf. Theory 56 (2) (2010)
Martin McCormick, Rui Ma, Todd P. Coleman
An analytic spatial filter and a hidden Markov model for enhanced information transfer rate in EEG-based brain computer interfaces. ICASSP (2010)
Todd P. Coleman
A stochastic control viewpoint on 'Posterior Matching'-style feedback communication schemes. ISIT (2009)
Rui Ma, Todd P. Coleman, Joseph G. Malpeli
The parabigeminal nucleus as a recursive estimator. CDC (2009)
Avon L. Fernandes, Maxim Raginsky, Todd P. Coleman
A low-complexity universal scheme for rate-constrained distributed regression using a wireless sensor network. IEEE Trans. Signal Process. 57 (5) (2009)
Negar Kiyavash, Todd P. Coleman, Mavis Rodrigues
Novel Shaping and Complexity-Reduction Techniques for Approaching Capacity over Queuing Timing Channels. ICC (2009)
Todd P. Coleman, Emin Martinian, Erik Ordentlich
Joint source-channel coding for transmitting correlated sources over broadcast networks. IEEE Trans. Inf. Theory 55 (8) (2009)
Todd P. Coleman
A simple memoryless proof of the capacity of the exponential server timing channel. ITW (2009)
Negar Kiyavash, Todd P. Coleman
Covert timing channels codes for communication over interactive traffic. ICASSP (2009)
Cyrus Omar, Miles Johnson, Timothy Bretl, Todd P. Coleman
Querying the user properly for high-performance brain-machine interfaces: Recursive estimation, control, and feedback information-theoretic perspectives. ICASSP (2008)
Todd P. Coleman, Negar Kiyavash
Sparse graph codes and practical decoding algorithms for communicating over packet timings in networks. CISS (2008)
Cyrus Omar, Miles Johnson, Timothy Bretl, Todd P. Coleman
Policies for neural prosthetic control: Initial experiments with a text interface. ACC (2008)
Todd P. Coleman, Negar Kiyavash
Practical codes for queueing channels: An algebraic, state-space, message-passing approach. ITW (2008)
Julian Jarzebowski, Lakshminarayan Srinivasan, Todd P. Coleman
Using stochastic control with data compression perspectives to enhance P300 Neural Communication Prostheses. ITW (2008)
Todd P. Coleman, Negar Kiyavash, Vijay G. Subramanian
The Rate-Distortion Function of a Poisson Process with a Queueing Distortion Measure. DCC (2008)
Avon L. Fernandes, Maxim Raginsky, Todd P. Coleman
A low-complexity universal scheme for rate-constrained distributed regression using a wireless sensor network. ICASSP (2008)
Todd P. Coleman, Sridevi S. Sarma
A computationally efficient method for modeling neural spiking activity with point processes nonparametrically. CDC (2007)

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Publication Activity (10 Years)

Top Topics

Top Venues

Todd P. Coleman