Eric D. Kolaczyk

According to our database, Eric D. Kolaczyk authored at least 45 papers between 1999 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Stochastic gradient descent-based inference for dynamic network models with attractors.

Hancong Pan, Xiaojing Zhu, Cantay Caliskan, Dino P. Christenson, Konstantinos Spiliopoulos, Dylan Walker, Eric D. Kolaczyk

CoRR, 2024

2023

Estimation of the Branching Factor in Noisy Networks.

Wenrui Li, Daniel L. Sussman, Eric D. Kolaczyk

IEEE Trans. Netw. Sci. Eng., 2023

Distinguishing between different percolation regimes in noisy dynamic networks with an application to epileptic seizures.

Xiaojing Zhu, Heather Shappell, Mark A. Kramer, Catherine Jean Chu, Eric D. Kolaczyk

PLoS Comput. Biol., 2023

Differentially Private Linear Regression with Linked Data.

Shurong Lin, Elliot Paquette, Eric D. Kolaczyk

CoRR, 2023

Differentially Private Confidence Intervals for Proportions under Stratified Random Sampling.

Shurong Lin, Mark Bun, Marco Gaboardi, Eric D. Kolaczyk, Adam Smith

CoRR, 2023

Modeling Narrative Revelation.

Andrew Piper, Hao Xu, Eric D. Kolaczyk

Proceedings of the Computational Humanities Research Conference 2023, 2023

2022

Estimation of heterogeneous instantaneous reproduction numbers with application to characterize SARS-CoV-2 transmission in Massachusetts counties.

Zhenwei Zhou, Eric D. Kolaczyk, Robin N. Thompson, Laura F. White

PLoS Comput. Biol., September, 2022

2021

Sensor-based localization of epidemic sources on human mobility networks.

Jun Li, Juliane Manitz, Enrico Bertuzzo, Eric D. Kolaczyk

PLoS Comput. Biol., 2021

Network Recovery from Unlabeled Noisy Samples.

Nathaniel Josephs, Wenrui Li, Eric D. Kolaczyk

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2019

A paradigm for longitudinal complex network analysis over patient cohorts in neuroscience.

Heather Shappell, Yorghos Tripodis, Ronald J. Killiany, Eric D. Kolaczyk

Netw. Sci., 2019

2018

Statistical Research in Networks: Looking Forward.

Eric D. Kolaczyk

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Approximation of the difference of two Poisson-like counts by Skellam.

Han Liang Gan, Eric D. Kolaczyk

J. Appl. Probab., 2018

2017

On the Propagation of Low-Rate Measurement Error to Subgraph Counts in Large Networks.

Prakash Balachandran, Eric D. Kolaczyk, Weston D. Viles

J. Mach. Learn. Res., 2017

Multiscale network analysis through tail-greedy bottom-up approximation, with applications in neuroscience.

Xinyu Kang, Piotr Fryzlewicz, Catherine Jean Chu, Mark A. Kramer, Eric D. Kolaczyk

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

Estimation of vertex degrees in a sampled network.

Apratim Ganguly, Eric D. Kolaczyk

Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2015

Editorial: Complexity and emergence in brain network analyses.

Qawi K. Telesford, Sean L. Simpson, Eric D. Kolaczyk

Frontiers Comput. Neurosci., 2015

2014

Statistical Research in Networks - Looking Forward.

Eric D. Kolaczyk

Encyclopedia of Social Network Analysis and Mining, 2014

Improvement of experimental testing and network training conditions with genome-wide microarrays for more accurate predictions of drug gene targets.

Lisa M. Christadore, Lisa Pham, Eric D. Kolaczyk, Scott E. Schaus

BMC Syst. Biol., 2014

Online ratings: Convergence towards a positive perspective?

Yaonan Zhang, Theodoros Lappas, Mark Crovella, Eric D. Kolaczyk

Proceedings of the IEEE International Conference on Acoustics, 2014

2013

A Compressed PCA Subspace Method for Anomaly Detection in High-Dimensional Data.

Qi Ding, Eric D. Kolaczyk

IEEE Trans. Inf. Theory, 2013

Network-guided sparse regression modeling for detection of gene-by-gene interactions.

Chen Lu, Jeanne Latourelle, George T. O'Connor, Josée Dupuis, Eric D. Kolaczyk

Bioinform., 2013

Multiscale gene sets from protein interaction networks.

Shu Yang, Lisa Pham, Lisa M. Christadore, Scott E. Schaus, Eric D. Kolaczyk

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012

Intrusion as (anti)social communication: characterization and detection.

Qi Ding, Natallia Katenka, Paul Barford, Eric D. Kolaczyk, Mark Crovella

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

Multi-Attribute Networks and the Impact of Partial Information on Inference and Characterization

Natallia Katenka, Eric D. Kolaczyk

CoRR, 2011

2010

Target detection via network filtering.

Shu Yang, Eric D. Kolaczyk

IEEE Trans. Inf. Theory, 2010

Complexity-penalized estimation of minimum volume sets for dependent data.

J. Di, Eric D. Kolaczyk

J. Multivar. Anal., 2010

On the Choice and Number of Microarrays for Transcriptional Regulatory Network Inference.

Elissa J. Cosgrove, Timothy S. Gardner, Eric D. Kolaczyk

BMC Bioinform., 2010

2009

Group betweenness and co-betweenness: Inter-related notions of coalition centrality.

Eric D. Kolaczyk, David B. Chua, Marc Barthelemy

Soc. Networks, 2009

Context inclusive function evaluation: a case study with EM-based multi-scale multi-granular image classification.

Vijay Gandhi, James M. Kang, Shashi Shekhar, Junchang Ju, Eric D. Kolaczyk, Sucharita Gopal

Knowl. Inf. Syst., 2009

2008

Integration of relational and hierarchical network information for protein function prediction.

Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon Kasif, Eric D. Kolaczyk

BMC Bioinform., 2008

Predicting gene targets of perturbations via network-based filtering of mRNA expression compendia.

Elissa J. Cosgrove, Yingchun Zhou, Timothy S. Gardner, Eric D. Kolaczyk

Bioinform., 2008

Distributed Spatial Anomaly Detection.

Parminder Chhabra, Clayton D. Scott, Eric D. Kolaczyk, Mark Crovella

Proceedings of the INFOCOM 2008. 27th IEEE International Conference on Computer Communications, 2008

Combining Hierarchical Inference in Ontologies with Heterogeneous Data Sources Improves Gene Function Prediction.

Xiaoyu Jiang, Naoki Nariai, Martin Steffen, Simon Kasif, David Gold, Eric D. Kolaczyk

Proceedings of the 2008 IEEE International Conference on Bioinformatics and Biomedicine, 2008

2007

Co-Betweenness: A Pairwise Notion of Centrality

Eric D. Kolaczyk, David B. Chua, Marc Barthelemy

CoRR, 2007

2006

Network Kriging.

David B. Chua, Eric D. Kolaczyk, Mark Crovella

IEEE J. Sel. Areas Commun., 2006

Context-Inclusive Approach to Speed-up Function Evaluation for Statistical Queries : An Extended Abstract.

Vijay Gandhi, James M. Kang, Shashi Shekhar, Junchang Ju, Eric D. Kolaczyk, Sucharita Gopal

Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

2005

Network Inference from TraceRoute Measurements: Internet Topology 'Species'

Fabien Viger, Alain Barrat, Luca Dall'Asta, Cun-Hui Zhang, Eric D. Kolaczyk

CoRR, 2005

A statistical framework for efficient monitoring of end-to-end network properties.

David B. Chua, Eric D. Kolaczyk, Mark Crovella

Proceedings of the International Conference on Measurements and Modeling of Computer Systems, 2005

Efficient monitoring of end-to-end network properties.

David B. Chua, Eric D. Kolaczyk, Mark Crovella

Proceedings of the INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies, 2005

2004

Structural analysis of network traffic flows.

Anukool Lakhina, Konstantina Papagiannaki, Mark Crovella, Christophe Diot, Eric D. Kolaczyk, Nina Taft

Proceedings of the International Conference on Measurements and Modeling of Computer Systems, 2004

2003

On the use of prior and posterior information in the subpixel proportion problem.

Eric D. Kolaczyk

IEEE Trans. Geosci. Remote. Sens., 2003

Graph Wavelets for Spatial Traffic Analysis.

Mark Crovella, Eric D. Kolaczyk

Proceedings of the Proceedings IEEE INFOCOM 2003, The 22nd Annual Joint Conference of the IEEE Computer and Communications Societies, San Franciso, CA, USA, March 30, 2003

2000

A statistical multiscale framework for Poisson inverse problems.

Robert D. Nowak, Eric D. Kolaczyk

IEEE Trans. Inf. Theory, 2000

Bayesian multiscale tomographic reconstruction.

Robert D. Nowak, Eric D. Kolaczyk, David S. Lalush, Benjamin M. W. Tsui

Proceedings of the IEEE International Conference on Acoustics, 2000

1999

A Bayesian multiscale framework for Poisson inverse problems.

Robert D. Nowak, Eric D. Kolaczyk

Proceedings of the 1999 IEEE International Conference on Acoustics, 1999