Maximum Likelihood Methods for Time-Resolved Imaging Through Turbid Media. - Brian Eriksson; Robert D. Nowak (ICIP, 2006)

Learning network structure from passive measurements. - Brian Eriksson; Paul Barford; Robert D. Nowak; Mark Crovella (Internet Measurement Conference, 2007)

A Decision-Theoretic Approach to Transillumination Imaging in Biological Mediums. - Brian Eriksson; Robert D. Nowak (ISBI, 2007)

Learning to satisfy. - Frederic Thouin; Mark Coates; Brian Eriksson; Robert D. Nowak; Clayton D. Scott (ICASSP, 2008)

Network discovery from passive measurements. - Brian Eriksson; Paul Barford; Robert D. Nowak (SIGCOMM, 2008)

Estimating Hop Distance Between Arbitrary Host Pairs. - Brian Eriksson; Paul Barford; Robert D. Nowak (INFOCOM, 2009)

BasisDetect: a model-based network event detection framework. - Brian Eriksson; Paul Barford; Rhys Alistair Bowden; Nick G. Duffield; Joel Sommers; Matthew Roughan (Internet Measurement Conference, 2010)

Toward the Practical Use of Network Tomography for Internet Topology Discovery. - Brian Eriksson; Gautam Dasarathy; Paul Barford; Robert D. Nowak (INFOCOM, 2010)

A Learning-Based Approach for IP Geolocation. - Brian Eriksson; Paul Barford; Joel Sommers; Robert D. Nowak (PAM, 2010)

On the prevalence and characteristics of MPLS deployments in the open internet. - Joel Sommers; Paul Barford; Brian Eriksson (Internet Measurement Conference, 2011)

DomainImpute: Inferring unseen components in the Internet. - Brian Eriksson; Paul Barford; Joel Sommers; Robert D. Nowak (INFOCOM, 2011)

Efficient network-wide flow record generation. - Joel Sommers; Rhys Alistair Bowden; Brian Eriksson; Paul Barford; Matthew Roughan; Nick G. Duffield (INFOCOM, 2011)

High-Rank Matrix Completion and Subspace Clustering with Missing Data - Brian Eriksson; Laura Balzano; Robert D. Nowak (CoRR, 2011)

Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities. - Brian Eriksson; Gautam Dasarathy; Aarti Singh; Robert D. Nowak (AISTATS, 2011)

Inferring Unseen Components of the Internet Core. - Brian Eriksson; Paul Barford; Joel Sommers; Robert D. Nowak (IEEE J. Sel. Areas Commun., 2011)

Hierarchical clustering using randomly selected measurements. - Brian Eriksson (SSP, 2012)

Estimating intrinsic dimension via clustering. - Brian Eriksson; Mark Crovella (SSP, 2012)

Hierarchical Clustering using Randomly Selected Similarities - Brian Eriksson (CoRR, 2012)

High-Rank Matrix Completion. - Brian Eriksson; Laura Balzano; Robert D. Nowak (AISTATS, 2012)

Posit: a lightweight approach for IP geolocation. - Brian Eriksson; Paul Barford; Bruce M. Maggs; Robert D. Nowak (SIGMETRICS Perform. Evaluation Rev., 2012)

Efficient Network Tomography for Internet Topology Discovery. - Brian Eriksson; Gautam Dasarathy; Paul Barford; Robert D. Nowak (IEEE/ACM Trans. Netw., 2012)

Learning to Top-K Search using Pairwise Comparisons. - Brian Eriksson (AISTATS, 2013)

RiskRoute: a framework for mitigating network outage threats. - Brian Eriksson; Ramakrishnan Durairajan; Paul Barford (CoNEXT, 2013)

Predicting audience responses to movie content from electro-dermal activity signals. - Fernando Silveira; Brian Eriksson; Anmol Sheth; Adam Sheppard (UbiComp, 2013)

Sequential Bayesian Search. - Zheng Wen; Branislav Kveton; Brian Eriksson; Sandilya Bhamidipati (ICML (2), 2013)

Understanding geolocation accuracy using network geometry. - Brian Eriksson; Mark Crovella (INFOCOM, 2013)

AliasCluster: A lightweight approach to interface disambiguation. - Larissa Spinelli; Mark Crovella; Brian Eriksson (INFOCOM, 2013)

Adaptive Submodular Maximization in Bandit Setting. - Victor Gabillon; Branislav Kveton; Zheng Wen 002; Brian Eriksson; S. Muthukrishnan 001 (NIPS, 2013)

Internet atlas: a geographic database of the internet. - Ramakrishnan Durairajan; Subhadip Ghosh; Xin Tang; Paul Barford; Brian Eriksson (HotPlanet@SIGCOMM, 2013)

Large-Scale Optimistic Adaptive Submodularity. - Victor Gabillon; Branislav Kveton; Zheng Wen 002; Brian Eriksson; S. Muthukrishnan 001 (AAAI, 2014)

Modeling Correlated Arrival Events with Latent Semi-Markov Processes. - Wenzhao Lian; Vinayak A. Rao; Brian Eriksson; Lawrence Carin (ICML, 2014)

Learning Latent Variable Gaussian Graphical Models. - Zhaoshi Meng; Brian Eriksson; Alfred O. Hero III (ICML, 2014)

Matroid Bandits: Fast Combinatorial Optimization with Learning. - Branislav Kveton; Zheng Wen; Azin Ashkan; Hoda Eydgahi; Brian Eriksson (UAI, 2014)

Detecting divisions of the autonomic nervous system using wearables. - Annamalai Natarajan; Kevin S. Xu 001; Brian Eriksson (EMBC, 2016)

Just One More: Modeling Binge Watching Behavior. - William Trouleau; Azin Ashkan; Weicong Ding; Brian Eriksson (KDD, 2016)

From VFX project management to predictive forecasting. - Hannes Ricklefs; Stefan Puschendorf; Sandilya Bhamidipati; Brian Eriksson; Akshay Pushparaja (SIGGRAPH Talks, 2017)

Block CUR : Decomposing Large Distributed Matrices. - Urvashi Oswal; Swayambhoo Jain; Kevin S. Xu 001; Brian Eriksson (CoRR, 2017)

Deep Unsupervised Clustering Using Mixture of Autoencoders. - Dejiao Zhang; Yifan Sun 001; Brian Eriksson; Laura Balzano (CoRR, 2017)

A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. - Swayambhoo Jain; Urvashi Oswal; Kevin S. Xu 001; Brian Eriksson; Jarvis D. Haupt (IEEE Trans. Biomed. Eng., 2017)

Wide Compression: Tensor Ring Nets. - Wenqi Wang 001; Yifan Sun 001; Brian Eriksson; Wenlin Wang; Vaneet Aggarwal (CVPR, 2018)

Block CUR: Decomposing Matrices Using Groups of Columns. - Urvashi Oswal; Swayambhoo Jain; Kevin S. Xu 001; Brian Eriksson (ECML/PKDD (2), 2018)