Brian Eriksson

Publication Activity (10 Years)

Years Active: 2006-2018
Publications (10 Years): 10

Top Topics

Hierarchical Clustering

Gaussian Graphical Models

Pairwise Comparisons

Randomly Selected

Top Venues

Publications

Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal
Wide Compression: Tensor Ring Nets. CVPR (2018)
Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu, Brian Eriksson
Block CUR: Decomposing Matrices Using Groups of Columns. ECML/PKDD (2) (2018)
Wenqi Wang, Yifan Sun, Brian Eriksson, Wenlin Wang, Vaneet Aggarwal
Wide Compression: Tensor Ring Nets. CoRR (2018)
Hannes Ricklefs, Stefan Puschendorf, Sandilya Bhamidipati, Brian Eriksson, Akshay Pushparaja
From VFX project management to predictive forecasting. SIGGRAPH Talks (2017)
Dejiao Zhang, Yifan Sun, Brian Eriksson, Laura Balzano
Deep Unsupervised Clustering Using Mixture of Autoencoders. CoRR (2017)
Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. IEEE Trans. Biomed. Eng. 64 (9) (2017)
Urvashi Oswal, Swayambhoo Jain, Kevin S. Xu, Brian Eriksson
Block CUR : Decomposing Large Distributed Matrices. CoRR (2017)
William Trouleau, Azin Ashkan, Weicong Ding, Brian Eriksson
Just One More: Modeling Binge Watching Behavior. KDD (2016)
Swayambhoo Jain, Urvashi Oswal, Kevin S. Xu, Brian Eriksson, Jarvis D. Haupt
A Compressed Sensing Based Decomposition of Electrodermal Activity Signals. CoRR (2016)
Annamalai Natarajan, Kevin S. Xu, Brian Eriksson
Detecting divisions of the autonomic nervous system using wearables. EMBC (2016)
Wenzhao Lian, Vinayak A. Rao, Brian Eriksson, Lawrence Carin
Modeling Correlated Arrival Events with Latent Semi-Markov Processes. ICML (2014)
Zhaoshi Meng, Brian Eriksson, Alfred O. Hero III
Learning Latent Variable Gaussian Graphical Models. CoRR (2014)
Branislav Kveton, Zheng Wen, Azin Ashkan, Hoda Eydgahi, Brian Eriksson
Matroid Bandits: Fast Combinatorial Optimization with Learning. UAI (2014)
Branislav Kveton, Zheng Wen, Azin Ashkan, Hoda Eydgahi, Brian Eriksson
Matroid Bandits: Fast Combinatorial Optimization with Learning. CoRR (2014)
Zhaoshi Meng, Brian Eriksson, Alfred O. Hero III
Learning Latent Variable Gaussian Graphical Models. ICML (2014)
Victor Gabillon, Branislav Kveton, Zheng Wen, Brian Eriksson, S. Muthukrishnan
Large-Scale Optimistic Adaptive Submodularity. AAAI (2014)
Larissa Spinelli, Mark Crovella, Brian Eriksson
AliasCluster: A lightweight approach to interface disambiguation. INFOCOM (2013)
Larissa Spinelli, Mark Crovella, Brian Eriksson
AliasCluster: A lightweight approach to interface disambiguation. INFOCOM Workshops (2013)
Brian Eriksson
Learning to Top-K Search using Pairwise Comparisons. AISTATS (2013)
Victor Gabillon, Branislav Kveton, Zheng Wen, Brian Eriksson, S. Muthukrishnan
Adaptive Submodular Maximization in Bandit Setting. NIPS (2013)
Zheng Wen, Branislav Kveton, Brian Eriksson, Sandilya Bhamidipati
Sequential Bayesian Search. ICML (2) (2013)
Ramakrishnan Durairajan, Subhadip Ghosh, Xin Tang, Paul Barford, Brian Eriksson
Internet atlas: a geographic database of the internet. HotPlanet@SIGCOMM (2013)
Brian Eriksson, Mark Crovella
Understanding geolocation accuracy using network geometry. INFOCOM (2013)
Fernando Silveira, Brian Eriksson, Anmol Sheth, Adam Sheppard
Predicting audience responses to movie content from electro-dermal activity signals. UbiComp (2013)
Brian Eriksson, Ramakrishnan Durairajan, Paul Barford
RiskRoute: a framework for mitigating network outage threats. CoNEXT (2013)
Brian Eriksson, Mark Crovella
Estimating intrinsic dimension via clustering. SSP (2012)
Brian Eriksson
Hierarchical Clustering using Randomly Selected Similarities CoRR (2012)
Brian Eriksson, Gautam Dasarathy, Paul Barford, Robert D. Nowak
Efficient Network Tomography for Internet Topology Discovery. IEEE/ACM Trans. Netw. 20 (3) (2012)
Brian Eriksson, Laura Balzano, Robert D. Nowak
High-Rank Matrix Completion. AISTATS (2012)
Brian Eriksson, Paul Barford, Bruce M. Maggs, Robert D. Nowak
Posit: a lightweight approach for IP geolocation. SIGMETRICS Perform. Evaluation Rev. 40 (2) (2012)
Brian Eriksson
Hierarchical clustering using randomly selected measurements. SSP (2012)
Brian Eriksson, Paul Barford, Joel Sommers, Robert D. Nowak
Inferring Unseen Components of the Internet Core. IEEE J. Sel. Areas Commun. 29 (9) (2011)
Brian Eriksson, Paul Barford, Joel Sommers, Robert D. Nowak
DomainImpute: Inferring unseen components in the Internet. INFOCOM (2011)
Joel Sommers, Paul Barford, Brian Eriksson
On the prevalence and characteristics of MPLS deployments in the open internet. Internet Measurement Conference (2011)
Joel Sommers, Rhys Alistair Bowden, Brian Eriksson, Paul Barford, Matthew Roughan, Nick G. Duffield
Efficient network-wide flow record generation. INFOCOM (2011)
Brian Eriksson, Gautam Dasarathy, Aarti Singh, Robert D. Nowak
Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities CoRR (2011)
Brian Eriksson, Laura Balzano, Robert D. Nowak
High-Rank Matrix Completion and Subspace Clustering with Missing Data CoRR (2011)
Brian Eriksson, Gautam Dasarathy, Aarti Singh, Robert D. Nowak
Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities. AISTATS (2011)
Brian Eriksson, Gautam Dasarathy, Paul Barford, Robert D. Nowak
Toward the Practical Use of Network Tomography for Internet Topology Discovery. INFOCOM (2010)
Brian Eriksson, Paul Barford, Rhys Alistair Bowden, Nick G. Duffield, Joel Sommers, Matthew Roughan
BasisDetect: a model-based network event detection framework. Internet Measurement Conference (2010)
Brian Eriksson, Paul Barford, Joel Sommers, Robert D. Nowak
A Learning-Based Approach for IP Geolocation. PAM (2010)
Brian Eriksson, Paul Barford, Robert D. Nowak
Estimating Hop Distance Between Arbitrary Host Pairs. INFOCOM (2009)
Frederic Thouin, Mark Coates, Brian Eriksson, Robert D. Nowak, Clayton D. Scott
Learning to satisfy. ICASSP (2008)
Brian Eriksson, Paul Barford, Robert D. Nowak
Network discovery from passive measurements. SIGCOMM (2008)
Brian Eriksson, Robert D. Nowak
A Decision-Theoretic Approach to Transillumination Imaging in Biological Mediums. ISBI (2007)
Brian Eriksson, Paul Barford, Robert D. Nowak, Mark Crovella
Learning network structure from passive measurements. Internet Measurement Conference (2007)
Brian Eriksson, Robert D. Nowak
Maximum Likelihood Methods for Time-Resolved Imaging Through Turbid Media. ICIP (2006)