Publications

"Particle-Based Variational Inference for Continuous Systems"; Ihler, Frank, Smyth; To appear, Neural Information Processing Systems, Dec. 2009
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"Bayesian detection of non-sinusoidal periodic patterns in circadian expression data"; Chudova, Ihler, Lin, Andersen, Smyth; Bioinformatics 2009 (Advanced Access); doi: 10.1093/bioinformatics/btp547.
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"Adaptive Updates for MAP Configurations with Applications to Bioinformatics"; Acar, Ihler, Mettu, Sumer; in IEEE Statistical Signal Processing (SSP), Sept. 2009
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"A Low Density Lattice Decoder via Non-parametric Belief Propagation"; Bickson, Ihler, Avissar, Dolev; Allerton Conference on Communication, Control, and Computing, Sept. 2009
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"Circadian Clock Genes Contribute to the Regulation of Hair Follicle Cycling"; Lin, Kumar, Geyfman, Chudova, Ihler, Smyth, Paus, Takahashi, Andersen; PLoS Genetics, 5(7):e1000573. July 2009. doi:10.1371/journal.pgen.1000573
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"Particle Belief Propagation"; Ihler, McAllester; in Twelfth International Conference on Artificial Intelligence and Statistics (AIStats), April 2009.
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"Fast Collapsed Gibbs Sampling for Latent Dirichlet Allocation"; Porteous, Newman, Ihler, Asuncion, Smyth, Welling; in ACM Knowledge Discovery and Data Mining (KDD) 2008.
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"Adaptive Inference in General Graphical Models"; Acar, Ihler, Mettu, Sumer; in Uncertainty in Artificial Intelligence (UAI) 2008.
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"Probabilistic Analysis of a Large Scale Urban Traffic Sensor Data Set"; Hutchins, Ihler, Smyth; in Second International Workshop on Knowledge Discovery from Sensor Data 2008.
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"Graphical Models for Statistical Inference and Data Assimilation"; Ihler, Kirshner, Ghil, Robertson, Smyth; Physica D: Nonlinear Phenomena, June 2007. (Survey of graphical model methods)
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"Learning to detect events with Markov-modulated Poisson processes"; Ihler, Hutchins, Smyth; ACM Transactions on Knowledge Discovery from Data, Vol 1 Issue 3, Dec. 2007.
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"Adaptive Bayesian Inference"; Acar, Ihler, Mettu, Sumer; in Neural Information Processing Systems (NIPS) 2007.
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"Accuracy Bounds for Belief Propagation"; Ihler; in Uncertainty in Artificial Intelligence (UAI) 2007.
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"Modeling Count Data from Multiple Sensors: A Building Occupancy Model"; Hutchins, Ihler, Smyth; in Computational Advances in Multisensor Adaptive Processing (CAMSAP) 2007.
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"Graphical Models and Fusion in Sensor Networks"; Cetin, Chen, Fisher, Ihler, Kreidl, Moses, Wainwright, Williams, Willsky; in Wireless Sensor Networks: Signal Processing and Communications, Wiley 2007.
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"Distributed Fusion in Sensor Networks"; Cetin, Chen, Fisher, Ihler, Moses, Wainwright, Willsky; IEEE Signal Processing Magazine, July 2006.
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"Gibbs Sampling for (Coupled) Infinite Mixture Models in the Stick Breaking Representation"; Porteous, Ihler, Smyth, Welling; in Uncertainty in Artificial Intelligence (UAI) 2006.
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"Adaptive Event Detection with Time-Varying Poisson Processes"; Ihler, Hutchins, Smyth; in Knoweldge Discovery and Data Mining (KDD) 2006.
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"Learning Time-Intensity Profiles of Human Activity Using Nonparametric Bayesian Models"; Ihler, Smyth; in Neural Information Processing Systems (NIPS) 2006.
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"Inference in Sensor Networks: Graphical Models and Particle Methods"; Ihler; Ph.D. Thesis, MIT, 2005
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"Loopy Belief Propagation: Convergence and Effects of Message Errors"; Ihler, Fisher, Willsky; Journal of Machine Learning Research, May 2005. (Full version of NIPS'04 paper)
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"Nonparametric Belief Propagation for Sensor Network Self-Calibration"; Ihler, Fisher, Moses, Willsky; Journal of Selected Areas in Communication, Apr. 2005. (Expanded version of IPSN/ICASSP papers)
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"Particle Filtering Under Communications Constraints"; Ihler, Fisher, Willsky; in Statistical Signal Processing (SSP) 2005.
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"Estimating Dependency and Significance for High-Dimensional Data"; Siracusa, Tieu, Ihler, Fisher, Willsky; in ICASSP 2005.
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"An Overview of Fast Multipole Methods"; Ihler; 2004 (MIT Area Exam)
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"Nonparametric Hypothesis Tests for Statistical Dependency"; Ihler, Fisher, Willsky; IEEE Transactions on Signal Processing, Aug. 2004.
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"Message Errors in Belief Propagation"; Ihler, Fisher, Willsky; in Neural Information Processing Systems (NIPS) 2004. (Outstanding Student Paper Award)
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"Nonparametric Belief Propagation for Sensor Network Self-Calibration"; Ihler, Fisher, Moses, Willsky; in ICASSP 2004.
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"Nonparametric Belief Propagation for Self-Calibration in Sensor Networks"; Ihler, Fisher, Moses, Willsky; in Information Processing in Sensor Networks (IPSN) 2004. (Best Student Paper Award)
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"Communications-Constrained Inference"; Ihler, Fisher, Willsky; LIDS Tech Report 2601 (Lossless and lossy encoding of sample-based density estimates)
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"Nonparametric Belief Propagation"; Sudderth, Ihler, Freeman, Willsky; in Computer Vision and Pattern Recognition (CVPR) 2003. (also AI Memo # AIM-2002-020)
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"Efficient Multiscale Sampling from Products of Gaussian Mixtures"; Ihler, Sudderth, Freeman, Willsky; in Neural Information Processing Systems (NIPS) 2003.
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"Hypothesis Testing over Factorizations for Data Association"; Ihler, Fisher, Willsky; in Information Processing in Sensor Networks (IPSN) 2003.
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"Nonparametric Belief Propagation"; Sudderth, Ihler, Freeman, Willsky; LIDS Technical Report # 2551, Aug. 2002.
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"Nonparametric Estimators for Online Signature Authentication"; Ihler, Fisher, Willsky; in ICASSP 2001.
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"Maximally Informative Subspaces: Nonparametric Estimation for Dynamical Systems"; Ihler; Masters' Thesis, MIT, 2000
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"Learning Informative Statistics: A Nonparametric Approach"; Fisher, Ihler, Viola; in Neural Information Processing Systems (NIPS) 1999.
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