Frey, Brendan J.

66 publications

NeurIPS 2017 Min-Max Propagation Christopher Srinivasa, Inmar Givoni, Siamak Ravanbakhsh, Brendan J. Frey

NeurIPS 2017 PixelGAN Autoencoders Alireza Makhzani, Brendan J. Frey

JMLR 2016 Are Random Forests Truly the Best Classifiers? Michael Wainberg, Babak Alipanahi, Brendan J. Frey

AISTATS 2016 Survey Propagation Beyond Constraint Satisfaction Problems Christopher Srinivasa, Siamak Ravanbakhsh, Brendan J. Frey

NeurIPS 2015 Learning Wake-Sleep Recurrent Attention Models Jimmy Ba, Ruslan Salakhutdinov, Roger B Grosse, Brendan J. Frey

NeurIPS 2015 Winner-Take-All Autoencoders Alireza Makhzani, Brendan J. Frey

ICLR 2014 K-Sparse Autoencoders Alireza Makhzani, Brendan J. Frey

CVPR 2012 Factorizing Appearance Using Epitomic Flobject Analysis Patrick S. Li, Brendan J. Frey

UAI 2012 Fast Exact Inference for Recursive Cardinality Models Daniel Tarlow, Kevin Swersky, Richard S. Zemel, Ryan Prescott Adams, Brendan J. Frey

CVPR 2012 Learning Structural Element Patch Models with Hierarchical Palettes Jeroen Chua, Inmar E. Givoni, Ryan Prescott Adams, Brendan J. Frey

NeurIPS 2012 Probabilistic N-Choose-K Models for Classification and Ranking Kevin Swersky, Brendan J. Frey, Daniel Tarlow, Richard S. Zemel, Ryan P. Adams

JMLR 2011 Cumulative Distribution Networks and the Derivative-Sum-Product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs Jim C. Huang, Brendan J. Frey

UAI 2011 Graph Cuts Is a Max-Product Algorithm Daniel Tarlow, Inmar E. Givoni, Richard S. Zemel, Brendan J. Frey

UAI 2011 Hierarchical Affinity Propagation Inmar E. Givoni, Clement Chung, Brendan J. Frey

CVPR 2011 Learning Better Image Representations Using 'flobject Analysis' Patrick S. Li, Inmar E. Givoni, Brendan J. Frey

ICCV 2009 FLoSS: Facility Location for Subspace Segmentation Nevena Lazic, Inmar E. Givoni, Brendan J. Frey, Parham Aarabi

CVPR 2009 Stel Component Analysis: Modeling Spatial Correlations in Image Class Structure Nebojsa Jojic, Alessandro Perina, Marco Cristani, Vittorio Murino, Brendan J. Frey

UAI 2008 Cumulative Distribution Networks and the Derivative-Sum-Product Algorithm Jim C. Huang, Brendan J. Frey

UAI 2008 Flexible Priors for Exemplar-Based Clustering Daniel Tarlow, Richard S. Zemel, Brendan J. Frey

NeurIPS 2008 Structured Ranking Learning Using Cumulative Distribution Networks Jim C. Huang, Brendan J. Frey

ICCV 2007 Non-Metric Affinity Propagation for Unsupervised Image Categorization Delbert Dueck, Brendan J. Frey

UAI 2006 Matrix Tile Analysis Inmar E. Givoni, Vincent Cheung, Brendan J. Frey

NeurIPS 2005 Mixture Modeling by Affinity Propagation Brendan J. Frey, Delbert Dueck

NeurIPS 2005 Using ``epitomes'' to Model Genetic Diversity: Rational Design of HIV Vaccine Cocktails Nebojsa Jojic, Vladimir Jojic, Christopher Meek, David Heckerman, Brendan J. Frey

AISTATS 2005 Variational Speech Separation of More Sources than Mixtures Steven J. Rennie, Kannan Achan, Brendan J. Frey, Parham Aarabi

CVPR 2005 Video Epitomes Vincent Cheung, Brendan J. Frey, Nebojsa Jojic

UAI 2004 Convolutional Factor Graphs as Probabilistic Models Yongyi Mao, Frank R. Kschischang, Brendan J. Frey

ICML 2004 Learning to Cluster Using Local Neighborhood Structure Rómer Rosales, Kannan Achan, Brendan J. Frey

NeurIPS 2004 Probabilistic Inference of Alternative Splicing Events in Microarray Data Ofer Shai, Brendan J. Frey, Quaid D. Morris, Qun Pan, Christine Misquitta, Benjamin J. Blencowe

NeurIPS 2003 Denoising and Untangling Graphs Using Degree Priors Quaid D. Morris, Brendan J. Frey

ICCV 2003 Epitomic Analysis of Appearance and Shape Nebojsa Jojic, Brendan J. Frey, Anitha Kannan

UAI 2003 Extending Factor Graphs so as to Unify Directed and Undirected Graphical Models Brendan J. Frey

CVPR 2003 Learning Appearance and Transparency Manifolds of Occluded Objects in Layers Brendan J. Frey, Nebojsa Jojic, Anitha Kannan

UAI 2003 Learning Generative Models of Similarity Matrices Rómer Rosales, Brendan J. Frey

NeurIPS 2003 Probabilistic Inference of Speech Signals from Phaseless Spectrograms Kannan Achan, Sam T. Roweis, Brendan J. Frey

AISTATS 2003 Real-Time On-Line Learning of Transformed Hidden Markov Models from Video Nemanja Petrovic, Nebojsa Jojic, Brendan J. Frey, Thomas S. Huang

ICCV 2003 Unsupervised Image Translation Rómer Rosales, Kannan Achan, Brendan J. Frey

ECCV 2002 Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance Chris Pal, Brendan J. Frey, Nebojsa Jojic

UAI 2001 A Factorized Variational Technique for Phase Unwrapping in Markov Random Field Kannan Achan, Brendan J. Frey, Ralf Koetter

NeurIPS 2001 ALGONQUIN - Learning Dynamic Noise Models from Noisy Speech for Robust Speech Recognition Brendan J. Frey, Trausti T. Kristjansson, Li Deng, Alex Acero

CVPR 2001 Enforcing Integrability for Surface Reconstruction Algorithms Using Belief Propagation in Graphical Models Nemanja Petrovic, Ira Cohen, Brendan J. Frey, Ralf Koetter, Thomas S. Huang

NeurIPS 2001 Fast, Large-Scale Transformation-Invariant Clustering Brendan J. Frey, Nebojsa Jojic

CVPR 2001 Learning Flexible Sprites in Video Layers Nebojsa Jojic, Brendan J. Frey

AISTATS 2001 Learning Mixtures of Smooth, Nonuniform Deformation Models for Probabilistic Image Matching Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman

NeurIPS 2001 Product Analysis: Learning to Model Observations as Products of Hidden Variables Brendan J. Frey, Anitha Kannan, Nebojsa Jojic

ICCV 2001 Separating Appearance from Deformation Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman

NeurIPS 2001 Very Loopy Belief Propagation for Unwrapping Phase Images Brendan J. Frey, Ralf Koetter, Nemanja Petrovic

NeurIPS 2000 Accumulator Networks: Suitors of Local Probability Propagation Brendan J. Frey, Anitha Kannan

CVPR 2000 Filling in Scenes by Propagating Probabilities Through Layers and into Appearance Models Brendan J. Frey

NeurIPS 2000 Keeping Flexible Active Contours on Track Using Metropolis Updates Trausti T. Kristjansson, Brendan J. Frey

UAI 2000 Learning Graphical Models of Images, Videos and Their Spatial Transformations Brendan J. Frey, Nebojsa Jojic

NeurIPS 2000 Sequentially Fitting ``Inclusive'' Trees for Inference in Noisy-or Networks Brendan J. Frey, Relu Patrascu, Tommi Jaakkola, Jodi Moran

CVPR 2000 Transformed Hidden Markov Models: Estimating Mixture Models of Images and Inferring Spatial Transformations in Video Sequence Nebojsa Jojic, Nemanja Petrovic, Thomas S. Huang, Brendan J. Frey

CVPR 1999 A Probabilistic Framework for Embedded Face and Facial Expression Recognition Antonio Colmenarez, Brendan J. Frey, Thomas S. Huang

CVPR 1999 Estimating Mixture Models of Images and Inferring Spatial Transformations Using the EM Algorithm Brendan J. Frey, Nebojsa Jojic

NeurIPS 1999 Local Probability Propagation for Factor Analysis Brendan J. Frey

CVPR 1999 Time-Series Classification Using Mixed-State Dynamic Bayesian Networks Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang

NeurIPS 1999 Topographic Transformation as a Discrete Latent Variable Nebojsa Jojic, Brendan J. Frey

ICCV 1999 Transformed Component Analysis: Joint Estimation of Spatial Transformations and Image Components Brendan J. Frey, Nebojsa Jojic

UAI 1999 Variational Learning in Mixed-State Dynamic Graphical Models Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang

NeCo 1999 Variational Learning in Nonlinear Gaussian Belief Networks Brendan J. Frey, Geoffrey E. Hinton

CVPR 1998 Mixtures of Local Linear Subspaces for Face Recognition Brendan J. Frey, Antonio Colmenarez, Thomas S. Huang

NeurIPS 1997 A Revolution: Belief Propagation in Graphs with Cycles Brendan J. Frey, David J. C. MacKay

AISTATS 1997 Variational Inference for Continuous Sigmoidal Bayesian Networks Brendan J. Frey

NeurIPS 1996 Continuous Sigmoidal Belief Networks Trained Using Slice Sampling Brendan J. Frey

NeurIPS 1995 Does the Wake-Sleep Algorithm Produce Good Density Estimators? Brendan J. Frey, Geoffrey E. Hinton, Peter Dayan