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ORCIDTodd P. Coleman
Person information
- affiliation: Stanford University, CA, USA
- affiliation (former): University of California, San Diego, USA
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Books and Theses
- 2006
[b1]Todd P. Coleman:
Low-complexity approaches to distributed data dissemination. Massachusetts Institute of Technology, Cambridge, MA, USA, 2006
Journal Articles
- 2024
- [j40]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): 185 (2024) - [j39]Andrew Perley, Todd P. Coleman:
A mutual information measure of phase-amplitude coupling using gamma generalized linear models. Frontiers Comput. Neurosci. 18 (2024) - 2023
- [j38]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: iv (2023) - [j37]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): 3342-3353 (2023) - 2022
- [j36]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): 9140 (2022) - [j35]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): 9242 (2022) - [j34]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): 3313-3325 (2022) - 2021
- [j33]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): 5337-5343 (2021) - [j32]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) - 2020
- [j31]Gabriel Schamberg, William Chapman, Shang-Ping Xie, Todd P. Coleman:
Direct and Indirect Effects - An Information Theoretic Perspective. Entropy 22(8): 854 (2020) - [j30]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): 2570 (2020) - [j29]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): 854-867 (2020) - [j28]Gabriel Schamberg, Todd P. Coleman:
Measuring Sample Path Causal Influences With Relative Entropy. IEEE Trans. Inf. Theory 66(5): 2777-2798 (2020) - 2019
- [j27]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) - 2018
- [j26]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): 1201-1212 (2018) - [j25]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): 1272-1280 (2018) - [j24]Gabriel Schamberg, Demba E. Ba, Todd P. Coleman:
A Modularized Efficient Framework for Non-Markov Time Series Estimation. IEEE Trans. Signal Process. 66(12): 3140-3154 (2018) - 2017
- [j23]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): 273-285 (2017) - [j22]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): 807-815 (2017) - 2016
- [j21]Jalal Etesami, Negar Kiyavash, Todd P. Coleman:
Learning Minimal Latent Directed Information Polytrees. Neural Comput. 28(9): 1723-1768 (2016) - 2015
- [j20]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): 23459-23476 (2015) - [j19]Ankur A. Kulkarni, Todd P. Coleman:
An Optimizer's Approach to Stochastic Control Problems With Nonclassical Information Structures. IEEE Trans. Autom. Control. 60(4): 937-949 (2015) - [j18]Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman:
Directed Information Graphs. IEEE Trans. Inf. Theory 61(12): 6887-6909 (2015) - 2014
- [j17]Sanggyun Kim, Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman:
Dynamic and Succinct Statistical Analysis of Neuroscience Data. Proc. IEEE 102(5): 683-698 (2014) - 2013
- [j16]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): 2983-2992 (2013) - [j15]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): 477-487 (2013) - [j14]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): 1475-1504 (2013) - [j13]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): 3173-3182 (2013) - 2012
- [j12]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): 64-75 (2012) - 2011
- [j11]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): 5-23 (2011) - [j10]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): 17-44 (2011) - [j9]Shankar Sadasivam, Pierre Moulin, Todd P. Coleman:
A Message-Passing Approach to Combating Desynchronization Attacks. IEEE Trans. Inf. Forensics Secur. 6(3-2): 894-905 (2011) - 2010
- [j8]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): 193-201 (2010) - [j7]Todd P. Coleman, Sridevi S. Sarma:
A Computationally Efficient Method for Nonparametric Modeling of Neural Spiking Activity with Point Processes. Neural Comput. 22(8): 2002-2030 (2010) - [j6]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): 649-652 (2010) - 2009
- [j5]Todd P. Coleman, Emin Martinian, Erik Ordentlich:
Joint source-channel coding for transmitting correlated sources over broadcast networks. IEEE Trans. Inf. Theory 55(8): 3864-3868 (2009) - [j4]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): 1731-1744 (2009) - 2006
- [j3]Todd P. Coleman, Anna H. Lee, Muriel Médard, Michelle Effros:
Low-Complexity Approaches to Slepian-Wolf Near-Lossless Distributed Data Compression. IEEE Trans. Inf. Theory 52(8): 3546-3561 (2006) - 2004
- [j2]Todd P. Coleman, Muriel Médard:
A distributed scheme for achieving energy-delay tradeoffs with multiple service classes over a dynamically varying network. IEEE J. Sel. Areas Commun. 22(5): 929-941 (2004) - [j1]Muriel Médard, Jianyi Huang, Andrea J. Goldsmith, Sean P. Meyn, Todd P. Coleman:
Capacity of time-slotted ALOHA packetized multiple-access systems over the AWGN channel. IEEE Trans. Wirel. Commun. 3(2): 486-499 (2004)
Conference and Workshop Papers
- 2023
- [c61]Andrew Perley, Sandya Subramanian, Todd P. Coleman:
A Convex Formulation of Point Process Heartbeat Dynamics using a Gamma Generalized Linear Model. BSN 2023: 1-5 - [c60]Sandya Subramanian, David C. Kunkel, Todd P. Coleman:
Exploring the aperiodic nature of parasympathetic activity during sleep in idiopathic gastroparesis. EMBC 2023: 1-4 - 2022
- [c59]Andrew Perley, Todd P. Coleman:
A Mutual Information Measure of Phase-Amplitude Coupling using High Dimensional Sparse Models. EMBC 2022: 21-24 - [c58]Sandya Subramanian, Todd P. Coleman:
Automated classification of sleep and wake from single day triaxial accelerometer data. EMBC 2022: 3665-3668 - 2021
- [c57]Todd P. Coleman, Maxim Raginsky:
Sampling, variational Bayesian inference, and conditioned stochastic differential equations. CDC 2021: 3054-3059 - 2020
- [c56]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: 225-231 - 2019
- [c55]Gabriel Schamberg, Todd P. Coleman:
On the Bias of Directed Information Estimators. ISIT 2019: 186-190 - 2018
- [c54]Gabriel Schamberg, Todd P. Coleman:
A Sample Path Measure of Causal Influence. ISIT 2018: 2251-2255 - 2017
- [c53]Todd P. Coleman:
Dynamical systems, ergodicity, and posterior matching. ISIT 2017: 2678-2682 - 2016
- [c52]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: 1330-1334 - [c51]Gabriel Schamberg, Demba E. Ba, Mark Wagner, Todd P. Coleman:
Efficient low-rank spectrotemporal decomposition using ADMM. SSP 2016: 1-5 - 2015
- [c50]Marcela Mendoza, Sanggyun Kim, Todd P. Coleman:
Bayesian LASSO in a distributed architecture. GlobalSIP 2015: 1270-1274 - [c49]Diego Mesa, Sanggyun Kim, Todd P. Coleman:
A scalable framework to transform samples from one continuous distribution to another. ISIT 2015: 676-680 - [c48]Sanggyun Kim, Diego Mesa, Todd P. Coleman:
Efficient total probability prediction via convex optimization and optimal transport. ISIT 2015: 681-685 - 2014
- [c47]Rui Ma, Todd P. Coleman:
Necessary and sufficient conditions for reliability of posterior matching in arbitrary dimensions. ISIT 2014: 2366-2370 - 2013
- [c46]Christopher J. Quinn, Jalal Etesami, Negar Kiyavash, Todd P. Coleman:
Robust directed tree approximations for networks of stochastic processes. ISIT 2013: 2254-2258 - [c45]Sanggyun Kim, Rui Ma, Diego Mesa, Todd P. Coleman:
Efficient Bayesian inference methods via convex optimization and optimal transport. ISIT 2013: 2259-2263 - 2012
- [c44]Ankur A. Kulkarni, Todd P. Coleman:
An optimizer's approach to stochastic control problems with nonclassical information structures. CDC 2012: 154-159 - [c43]Yunwen Xu, Sanggyun Kim, Srinivasa M. Salapaka, Carolyn L. Beck, Todd P. Coleman:
Clustering large networks of parametric dynamic generative models. CDC 2012: 5248-5253 - [c42]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: 4587-4590 - [c41]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: 1641-1644 - [c40]Jalal Etesami, Negar Kiyavash, Todd P. Coleman:
Learning minimal latent directed information trees. ISIT 2012: 2726-2730 - [c39]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: 1067-1071 - 2011
- [c38]Rui Ma, Todd P. Coleman:
Generalizing the Posterior Matching Scheme to higher dimensions via optimal transportation. Allerton 2011: 96-102 - [c37]Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman:
A minimal approach to causal inference on topologies with bounded indegree. CDC/ECC 2011: 168-173 - [c36]Sanggyun Kim, Kazutaka Takahashi, Nicholas G. Hatsopoulos, Todd P. Coleman:
Information transfer between neurons in the motor cortex triggered by visual cues. EMBC 2011: 7278-7281 - [c35]Siva K. Gorantla, Todd P. Coleman:
Equivalence between reliable feedback communication and nonlinear filter stability. ISIT 2011: 164-168 - [c34]Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman:
Equivalence between minimal generative model graphs and directed information graphs. ISIT 2011: 293-297 - [c33]Christopher Li, Tong Cheng, Todd P. Coleman:
A memoryless channel coding methodology for infinite-memory queuing timing channels. ISIT 2011: 713-717 - [c32]Todd P. Coleman, Aurel A. Lazar:
Special session on information theory and neuroscience at ISIT 2011. ISIT 2011: 1462-1463 - [c31]Thomas J. Riedl, Todd P. Coleman, Andrew C. Singer:
Finite block-length achievable rates for queuing timing channels. ITW 2011: 200-204 - 2010
- [c30]Siva K. Gorantla, Todd P. Coleman:
A stochastic control approach to coding with feedback over degraded broadcast channels. CDC 2010: 1516-1521 - [c29]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: 602-605 - [c28]Hani-James Ebeid, Todd P. Coleman:
Source coding with feedforward using the posterior matching scheme. ISIT 2010: 96-100 - [c27]Siva K. Gorantla, Todd P. Coleman:
On reversible Markov chains and maximization of directed information. ISIT 2010: 216-220 - [c26]Siva K. Gorantla, Baris Nakiboglu, Todd P. Coleman, Lizhong Zheng:
Bit-wise unequal error protection for variable length blockcodes with feedback. ISIT 2010: 241-245 - [c25]Todd P. Coleman, Maxim Raginsky:
Mutual information saddle points in channels of exponential family type. ISIT 2010: 1355-1359 - [c24]Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash:
Approximating discrete probability distributions with causal dependence trees. ISITA 2010: 100-105 - [c23]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: 343-348 - 2009
- [c22]Rui Ma, Todd P. Coleman, Joseph G. Malpeli:
The parabigeminal nucleus as a recursive estimator. CDC 2009: 4493-4498 - [c21]Negar Kiyavash, Todd P. Coleman:
Covert timing channels codes for communication over interactive traffic. ICASSP 2009: 1485-1488 - [c20]Negar Kiyavash, Todd P. Coleman, Mavis Rodrigues:
Novel Shaping and Complexity-Reduction Techniques for Approaching Capacity over Queuing Timing Channels. ICC 2009: 1-5 - [c19]Todd P. Coleman:
A stochastic control viewpoint on 'Posterior Matching'-style feedback communication schemes. ISIT 2009: 1520-1524 - [c18]Todd P. Coleman:
A simple memoryless proof of the capacity of the exponential server timing channel. ITW 2009: 101-105 - 2008
- [c17]Cyrus Omar, Miles Johnson, Timothy Bretl, Todd P. Coleman:
Policies for neural prosthetic control: Initial experiments with a text interface. ACC 2008: 4161-4166 - [c16]Todd P. Coleman, Negar Kiyavash:
Sparse graph codes and practical decoding algorithms for communicating over packet timings in networks. CISS 2008: 447-452 - [c15]Todd P. Coleman, Negar Kiyavash, Vijay G. Subramanian:
The Rate-Distortion Function of a Poisson Process with a Queueing Distortion Measure. DCC 2008: 63-72 - [c14]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: 2269-2272 - [c13]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: 5216-5219 - [c12]Julian Jarzebowski, Lakshminarayan Srinivasan, Todd P. Coleman:
Using stochastic control with data compression perspectives to enhance P300 Neural Communication Prostheses. ITW 2008: 109-113 - [c11]Todd P. Coleman, Negar Kiyavash:
Practical codes for queueing channels: An algebraic, state-space, message-passing approach. ITW 2008: 318-322 - 2007
- [c10]Todd P. Coleman, Sridevi S. Sarma:
A computationally efficient method for modeling neural spiking activity with point processes nonparametrically. CDC 2007: 5800-5805 - [c9]Todd P. Coleman, Sridevi S. Sarma:
Using Convex Optimization for Nonparametric Statistical Analysis of Point Processes. ISIT 2007: 1476-1480 - 2006
- [c8]Todd P. Coleman, Muriel Médard, Michelle Effros:
Time-Sharing Vs. Source-Splitting in the Slepian-Wolf Problem: Error Exponents Analysis. DCC 2006: 53-62 - [c7]Todd P. Coleman, Emin Martinian, Erik Ordentlich:
Joint Source-Channel Decoding for Transmitting Correlated Sources over Broadcast Networks. ISIT 2006: 2144-2147 - 2005
- [c6]Todd P. Coleman, Muriel Médard, Michelle Effros:
Towards Practical Minimum-Entropy Universal Decoding. DCC 2005: 33-42 - [c5]Todd P. Coleman, Muriel Médard, Michelle Effros:
Towards bridging the gap between theory and practice for the Slepian-Wolf problem. ICASSP (5) 2005: 1105-1108 - [c4]Todd P. Coleman, Michelle Effros, Emin Martinian, Muriel Médard:
Rate-splitting for the deterministic broadcast channel. ISIT 2005: 2189-2192 - [c3]Todd P. Coleman, Emin Martinian, Michelle Effros, Muriel Médard:
Interference management via capacity-achieving codes for the deterministic broadcast channel. ITW 2005: 29-33 - 2004
- [c2]Todd P. Coleman, Anna H. Lee, Muriel Médard, Michelle Effros:
On Some New Approaches to Practical Slepian-Wolf Compression Inspired by Channel Coding. Data Compression Conference 2004: 282-291 - [c1]Todd P. Coleman, Anna H. Lee, Muriel Médard, Michelle Effros:
A new source-splitting approach to the slepian-wolf problem. ISIT 2004: 332
Informal and Other Publications
- 2019
- [i12]Diego A. Mesa, Rui Ma, Siva K. Gorantla, Todd P. Coleman:
Construction and Analysis of Posterior Matching in Arbitrary Dimensions via Optimal Transport. CoRR abs/1901.02523 (2019) - [i11]Gabriel Schamberg, Todd P. Coleman:
On the Bias of Directed Information Estimators. CoRR abs/1902.00580 (2019) - [i10]Gabriel Schamberg, William Chapman, Shang-Ping Xie, Todd P. Coleman:
Direct and Indirect Effects - An Information Theoretic Perspective. CoRR abs/1912.10508 (2019) - 2018
- [i9]Gabriel Schamberg, Todd P. Coleman:
A Sample Path Measure of Causal Influence. CoRR abs/1805.03333 (2018) - [i8]Gabriel Schamberg, Todd P. Coleman:
Measuring Sample Path Causal Influences with Relative Entropy. CoRR abs/1810.05250 (2018) - 2017
- [i7]Gabriel Schamberg, Demba E. Ba, Todd P. Coleman:
A Modularized Efficient Framework for Non-Markov Time Series Estimation. CoRR abs/1706.04685 (2017) - 2016
- [i6]Thomas J. Riedl, Todd P. Coleman, Andrew C. Singer:
Timing Channel: Achievable Rate in the Finite Block-Length Regime. CoRR abs/1605.07905 (2016) - 2013
- [i5]Ankur A. Kulkarni, Todd P. Coleman:
An Optimizer's Approach to Stochastic Control Problems with Nonclassical Information Structures. CoRR abs/1309.3745 (2013) - 2012
- [i4]Christopher J. Quinn, Negar Kiyavash, Todd P. Coleman:
Directed Information Graphs. CoRR abs/1204.2003 (2012) - 2011
- [i3]Siva K. Gorantla, Baris Nakiboglu, Todd P. Coleman, Lizhong Zheng:
Multi-layer Bit-wise Unequal Error Protection for Variable Length Blockcodes with Feedback. CoRR abs/1101.1934 (2011) - [i2]Christopher J. Quinn, Todd P. Coleman, Negar Kiyavash:
Causal Dependence Tree Approximations of Joint Distributions for Multiple Random Processes. CoRR abs/1101.5108 (2011) - [i1]Siva K. Gorantla, Todd P. Coleman:
Information-Theoretic Viewpoints on Optimal Causal Coding-Decoding Problems. CoRR abs/1102.0250 (2011)
Coauthor Index
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