Brendan J. Frey

160 papers A* 18A 25B 11C 4Misc 7Journal 52Unranked 41

Year	Rank	Type	Title / Venue / Authors
2023	J	`jnl`	Splicing Up Your Predictions with RNA Contrastive Learning. CoRR Philip Fradkin, Ruian Shi, Bo Wang, Brendan J. Frey, Leo J. Lee
2022	J	`jnl`	A graph neural network approach for molecule carcinogenicity prediction. Bioinform. Philip Fradkin, Adamo Young, Lazar Atanackovic, Brendan J. Frey, Leo J. Lee, Bo Wang
2018	J	`jnl`	COSSMO: predicting competitive alternative splice site selection using deep learning. Bioinform. Hannes Bretschneider, Shreshth Gandhi, Amit G. Deshwar, Khalid Zuberi, Brendan J. Frey
2018	J	`jnl`	Inference of the human polyadenylation code. Bioinform. Michael K. K. Leung, Andrew Delong, Brendan J. Frey
2017	J	`jnl`	Generating and designing DNA with deep generative models. CoRR Nathan Killoran, Leo J. Lee, Andrew Delong, David Duvenaud, Brendan J. Frey
2017	B	`conf`	Inference of the Human Polyadenylation Code. RECOMB Michael K. K. Leung, Andrew Delong, Brendan J. Frey
2017	—	`conf`	Min-Max Propagation. NIPS Christopher Srinivasa, Inmar E. Givoni, Siamak Ravanbakhsh, Brendan J. Frey
2017	—	`conf`	PixelGAN Autoencoders. NIPS Alireza Makhzani, Brendan J. Frey
2017	J	`jnl`	PixelGAN Autoencoders. CoRR Alireza Makhzani, Brendan J. Frey
2016	J	`jnl`	Are Random Forests Truly the Best Classifiers? J. Mach. Learn. Res. Michael Wainberg, Babak Alipanahi, Brendan J. Frey
2016	J	`jnl`	Classifying and segmenting microscopy images with deep multiple instance learning. Bioinform. Oren Z. Kraus, Lei Jimmy Ba, Brendan J. Frey
2016	J	`jnl`	Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets. Proc. IEEE Michael K. K. Leung, Andrew Delong, Babak Alipanahi, Brendan J. Frey
2016	A	`conf`	Survey Propagation beyond Constraint Satisfaction Problems. AISTATS Christopher Srinivasa, Siamak Ravanbakhsh, Brendan J. Frey
2015	J	`jnl`	Classifying and Segmenting Microscopy Images Using Convolutional Multiple Instance Learning. CoRR Oren Z. Kraus, Lei Jimmy Ba, Brendan J. Frey
2015	—	`conf`	Learning Wake-Sleep Recurrent Attention Models. NIPS Jimmy Ba, Ruslan Salakhutdinov, Roger B. Grosse, Brendan J. Frey
2015	J	`jnl`	Learning Wake-Sleep Recurrent Attention Models. CoRR Jimmy Ba, Roger B. Grosse, Ruslan Salakhutdinov, Brendan J. Frey
2015	—	`conf`	Winner-Take-All Autoencoders. NIPS Alireza Makhzani, Brendan J. Frey
2014	J	`jnl`	A Winner-Take-All Method for Training Sparse Convolutional Autoencoders. CoRR Alireza Makhzani, Brendan J. Frey
2014	J	`jnl`	Deep learning of the tissue-regulated splicing code. Bioinform. Michael K. K. Leung, Hui Yuan Xiong, Leo J. Lee, Brendan J. Frey
2014	A*	`conf`	Min-Max Problems on Factor Graphs. ICML Siamak Ravanbakhsh, Christopher Srinivasa, Brendan J. Frey, Russell Greiner
2014	J	`jnl`	Training Restricted Boltzmann Machine by Perturbation. CoRR Siamak Ravanbakhsh, Russell Greiner, Brendan J. Frey
2014	—	`conf`	k-Sparse Autoencoders. ICLR (Poster) Alireza Makhzani, Brendan J. Frey
2013	J	`jnl`	A Factorized Variational Technique for Phase Unwrapping in Markov Random Fields CoRR Kannan Achan, Brendan J. Frey, Ralf Koetter
2013	J	`jnl`	A compendium of RNA-binding motifs for decoding gene regulation. Nat. Debashish Ray, Hilal Kazan, Kate B. Cook, Matthew T. Weirauch, Hamed S. Najafabadi, Xiao Li, Serge Gueroussov, Mihai Albu, Hong Zheng, Ally Yang, Hong Na, Manuel Irimia, Leah H. Matzat, Ryan K. Dale, Sarah A. Smith, Christopher A. Yarosh, Seth M. Kelly, Behnam Nabet, Desirea Mecenas, Weimin Li, Rakesh S. Laishram, Mei Qiao, Howard D. Lipshitz, Fabio Piano, Anita H. Corbett, Russ P. Carstens, Brendan J. Frey, Richard A. Anderson, Kristen W. Lynch, Luiz O. F. Penalva, Elissa P. Lei, Andrew G. Fraser, Benjamin J. Blencowe, Quaid Morris, Timothy R. Hughes
2013	—	`conf`	Adaptive dropout for training deep neural networks. NIPS Lei Jimmy Ba, Brendan J. Frey
2013	—	`ch.`	Bayesian Painting by Numbers: Flexible Priors for Colour-Invariant Object Recognition. Machine Learning for Computer Vision Jeroen C. Chua, Inmar E. Givoni, Ryan P. Adams, Brendan J. Frey
2013	J	`jnl`	Learning Graphical Models of Images, Videos and Their Spatial Transformations CoRR Brendan J. Frey, Nebojsa Jojic
2013	J	`jnl`	Non-parametric Bayesian approach to post-translational modification refinement of predictions from tandem mass spectrometry. Bioinform. Clement Chung, Andrew Emili, Brendan J. Frey
2013	J	`jnl`	Variational Learning in Mixed-State Dynamic Graphical Models CoRR Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang
2012	J	`jnl`	Challenges in estimating percent inclusion of alternatively spliced junctions from RNA-seq data. BMC Bioinform. Boyko Kakaradov, Hui Yuan Xiong, Leo J. Lee, Nebojsa Jojic, Brendan J. Frey
2012	J	`jnl`	Convolutional Factor Graphs as Probabilistic Models CoRR Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
2012	J	`jnl`	Cumulative distribution networks and the derivative-sum-product algorithm CoRR Jim C. Huang, Brendan J. Frey
2012	J	`jnl`	Extending Factor Graphs so as to Unify Directed and Undirected Graphical Models CoRR Brendan J. Frey
2012	A*	`conf`	Factorizing appearance using epitomic flobject analysis. CVPR Patrick S. Li, Brendan J. Frey
2012	J	`jnl`	Fast Exact Inference for Recursive Cardinality Models CoRR Daniel Tarlow, Kevin Swersky, Richard S. Zemel, Ryan Prescott Adams, Brendan J. Frey
2012	A	`conf`	Fast Exact Inference for Recursive Cardinality Models. UAI Daniel Tarlow, Kevin Swersky, Richard S. Zemel, Ryan Prescott Adams, Brendan J. Frey
2012	J	`jnl`	Flexible Priors for Exemplar-based Clustering CoRR Daniel Tarlow, Richard S. Zemel, Brendan J. Frey
2012	J	`jnl`	Hierarchical Affinity Propagation CoRR Inmar E. Givoni, Clement Chung, Brendan J. Frey
2012	J	`jnl`	Learning Generative Models of Similarity Matrices CoRR Rómer Rosales, Brendan J. Frey
2012	A*	`conf`	Learning structural element patch models with hierarchical palettes. CVPR Jeroen Chua, Inmar E. Givoni, Ryan Prescott Adams, Brendan J. Frey
2012	J	`jnl`	Matrix Tile Analysis. CoRR Inmar E. Givoni, Vincent Cheung, Brendan J. Frey
2012	—	`conf`	Probabilistic n-Choose-k Models for Classification and Ranking. NIPS Kevin Swersky, Daniel Tarlow, Ryan P. Adams, Richard S. Zemel, Brendan J. Frey
2011	J	`jnl`	Bayesian prediction of tissue-regulated splicing using RNA sequence and cellular context. Bioinform. Hui Yuan Xiong, Yoseph Barash, Brendan J. Frey
2011	J	`jnl`	Computational refinement of post-translational modifications predicted from tandem mass spectrometry. Bioinform. Clement Chung, Jian Liu, Andrew Emili, Brendan J. Frey
2011	J	`jnl`	Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs. J. Mach. Learn. Res. Jim C. Huang, Brendan J. Frey
2011	A	`conf`	Graph Cuts is a Max-Product Algorithm. UAI Daniel Tarlow, Inmar E. Givoni, Richard S. Zemel, Brendan J. Frey
2011	A	`conf`	Hierarchical Affinity Propagation. UAI Inmar E. Givoni, Clement Chung, Brendan J. Frey
2011	J	`jnl`	Interpreting Graph Cuts as a Max-Product Algorithm CoRR Daniel Tarlow, Inmar E. Givoni, Richard S. Zemel, Brendan J. Frey
2011	A*	`conf`	Learning better image representations using 'flobject analysis'. CVPR Patrick S. Li, Inmar E. Givoni, Brendan J. Frey
2011	—	`ch.`	STORMSeq: A Method for Ranking Regulatory Sequences by Integrating Experimental Datasets with Diverse Computational Predictions. Handbook of Statistical Bioinformatics Jim C. Huang, Brendan J. Frey
2010	J	`jnl`	Deciphering the splicing code. Nat. Yoseph Barash, John A. Calarco, Weijun Gao, Qun Pan, Xinchen Wang, Ofer Shai, Benjamin J. Blencowe, Brendan J. Frey
2010	J	`jnl`	Model-based detection of alternative splicing signals. Bioinform. Yoseph Barash, Benjamin J. Blencowe, Brendan J. Frey
2010	A	`conf`	Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms. AISTATS Nevena Lazic, Brendan J. Frey, Parham Aarabi
2009	J	`jnl`	A Binary Variable Model for Affinity Propagation. Neural Comput. Inmar E. Givoni, Brendan J. Frey
2009	A*	`conf`	FLoSS: Facility location for subspace segmentation. ICCV Nevena Lazic, Inmar E. Givoni, Brendan J. Frey, Parham Aarabi
2009	J	`jnl`	Rateless coding for arbitrary channel mixtures with decoder channel state information. IEEE Trans. Inf. Theory Stark C. Draper, Frank R. Kschischang, Brendan J. Frey
2009	A	`conf`	Semi-Supervised Affinity Propagation with Instance-Level Constraints. AISTATS Inmar E. Givoni, Brendan J. Frey
2009	A*	`conf`	Stel component analysis: Modeling spatial correlations in image class structure. CVPR Nebojsa Jojic, Alessandro Perina, Marco Cristani, Vittorio Murino, Brendan J. Frey
2008	Misc	`conf`	Comparing Sequence and Expression for Predicting microRNA Targets Using GenMIR3. Pacific Symposium on Biocomputing Jim C. Huang, Brendan J. Frey, Quaid Morris
2008	B	`conf`	Constructing Treatment Portfolios Using Affinity Propagation. RECOMB Delbert Dueck, Brendan J. Frey, Nebojsa Jojic, Vladimir Jojic, Guri Giaever, Andrew Emili, Gabe Musso, Robert Hegele
2008	A	`conf`	Cumulative distribution networks and the derivative-sum-product algorithm. UAI Jim C. Huang, Brendan J. Frey
2008	J	`jnl`	Fast Transformation-Invariant Component Analysis. Int. J. Comput. Vis. Anitha Kannan, Nebojsa Jojic, Brendan J. Frey
2008	A	`conf`	Flexible Priors for Exemplar-based Clustering. UAI Daniel Tarlow, Richard S. Zemel, Brendan J. Frey
2008	—	`conf`	Structured ranking learning using cumulative distribution networks. NIPS Jim C. Huang, Brendan J. Frey
2008	J	`jnl`	Video Epitomes. Int. J. Comput. Vis. Vincent Cheung, Brendan J. Frey, Nebojsa Jojic
2007	B	`conf`	A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements. RECOMB Anitha Kannan, Andrew Emili, Brendan J. Frey
2007	J	`jnl`	Bayesian Inference of MicroRNA Targets from Sequence and Expression Data. J. Comput. Biol. Jim C. Huang, Quaid Morris, Brendan J. Frey
2007	C	`conf`	Learning in Biomedicine and Bioinformatics Using Affinity Propagation. ICMLA Brendan J. Frey
2007	A*	`conf`	Non-metric affinity propagation for unsupervised image categorization. ICCV Delbert Dueck, Brendan J. Frey
2007	J	`jnl`	Variational Probabilistic Speech Separation Using Microphone Arrays. IEEE Trans. Speech Audio Process. Steven J. Rennie, Parham Aarabi, Brendan J. Frey
2006	B	`conf`	Beyond genomics: Detecting codes and signals in the cellular transcriptome [Plenary speakers]. ISIT Brendan J. Frey
2006	B	`conf`	Detecting MicroRNA Targets by Linking Sequence, MicroRNA and Gene Expression Data. RECOMB Jim C. Huang, Quaid Morris, Brendan J. Frey
2006	J	`jnl`	GenRate: A Generative Model that Reveals Novel Transcripts in Genome-Tiling Microarray Data. J. Comput. Biol. Brendan J. Frey, Quaid Morris, Timothy R. Hughes
2006	J	`jnl`	Inferring global levels of alternative splicing isoforms using a generative model of microarray data. Bioinform. Ofer Shai, Quaid Morris, Benjamin J. Blencowe, Brendan J. Frey
2006	A	`conf`	Matrix Tile Analysis. UAI Inmar E. Givoni, Vincent Cheung, Brendan J. Frey
2006	J	`jnl`	Unwrapping of MR phase images using a Markov random field model. IEEE Trans. Medical Imaging Lei Ying, Zhi-Pei Liang, David C. Munson, Ralf Koetter, Brendan J. Frey
2005	J	`jnl`	A Comparison of Algorithms for Inference and Learning in Probabilistic Graphical Models. IEEE Trans. Pattern Anal. Mach. Intell. Brendan J. Frey, Nebojsa Jojic
2005	—	`conf`	A segment based probabilistic generative model of speech. ICASSP (5) Kannan Achan, Sam T. Roweis, Aaron Hertzmann, Brendan J. Frey
2005	B	`conf`	Finding Novel Transcripts in High-Resolution Genome-Wide Microarray Data Using the GenRate Model. RECOMB Brendan J. Frey, Quaid Morris, Mark D. Robinson, Timothy R. Hughes
2005	Misc	`conf`	GenRate: A Generative Model That Finds and Scores New Genes and Exons in Genomic Microarray Data. Pacific Symposium on Biocomputing Brendan J. Frey, Quaid Morris, Wen Zhang, Naveed Mohammad, Timothy R. Hughes
2005	—	`conf`	GenXHC: a probabilistic generative model for cross-hybridization compensation in high-density genome-wide microarray data. ISMB (Supplement of Bioinformatics) Jim C. Huang, Quaid Morris, Timothy R. Hughes, Brendan J. Frey
2005	A	`conf`	Generative Model for Layers of Appearance and Deformation. AISTATS Anitha Kannan, Nebojsa Jojic, Brendan J. Frey
2005	—	`conf`	Mixture Modeling by Affinity Propagation. NIPS Brendan J. Frey, Delbert Dueck
2005	—	`conf`	Multi-way clustering of microarray data using probabilistic sparse matrix factorization. ISMB (Supplement of Bioinformatics) Delbert Dueck, Quaid Morris, Brendan J. Frey
2005	—	`conf`	Using epitomes to model genetic diversity: Rational design of HIV vaccines. NIPS Nebojsa Jojic, Vladimir Jojic, Brendan J. Frey, Christopher Meek, David Heckerman
2005	A	`conf`	Variational Speech Separation of More Sources than Mixtures. AISTATS Steven J. Rennie, Kannan Achan, Brendan J. Frey, Parham Aarabi
2005	—	`conf`	Video Epitomes. CVPR (1) Vincent Cheung, Brendan J. Frey, Nebojsa Jojic
2004	—	`conf`	A Generative Model of Dense Optical Flow in Layers. SCVMA Anitha Kannan, Brendan J. Frey, Nebojsa Jojic
2004	A	`conf`	Convolutional Factor Graphs as Probabilistic Models. UAI Yongyi Mao, Frank R. Kschischang, Brendan J. Frey
2004	B	`conf`	Efficient variable length channel coding for unknown DMCs. ISIT Stark C. Draper, Brendan J. Frey, Frank R. Kschischang
2004	A*	`conf`	Learning to cluster using local neighborhood structure. ICML Rómer Rosales, Kannan Achan, Brendan J. Frey
2004	B	`conf`	On interacting encoders and decoders in multiuser settings. ISIT Stark C. Draper, Brendan J. Frey, Frank R. Kschischang
2004	—	`conf`	Probabilistic Inference of Alternative Splicing Events in Microarray Data. NIPS Ofer Shai, Brendan J. Frey, Quaid Morris, Qun Pan, Christine Misquitta, Benjamin J. Blencowe
2003	—	`conf`	Denoising and Untangling Graphs Using Degree Priors. NIPS Quaid Morris, Brendan J. Frey
2003	A*	`conf`	Epitomic analysis of appearance and shape. ICCV Nebojsa Jojic, Brendan J. Frey, Anitha Kannan
2003	A	`conf`	Extending Factor Graphs so as to Unify Directed and Undirected Graphical Models. UAI Brendan J. Frey
2003	—	`conf`	Learning Appearance and Transparency Manifolds of Occluded Objects in Layers. CVPR (1) Brendan J. Frey, Nebojsa Jojic, Anitha Kannan
2003	A	`conf`	Learning Generative Models of Similarity Matrices. UAI Rómer Rosales, Brendan J. Frey
2003	—	`conf`	Multibaseline InSAR terrain elevation estimation: a dynamic programming approach. ICIP (3) Lei Ying, David C. Munson, Ralf Koetter, Brendan J. Frey
2003	—	`conf`	Probabilistic Inference of Speech Signals from Phaseless Spectrograms. NIPS Kannan Achan, Sam T. Roweis, Brendan J. Frey
2003	A	`ed.`	Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, AISTATS 2003, Key West, Florida, USA, January 3-6, 2003 AISTATS Christopher M. Bishop, Brendan J. Frey
2003	A	`conf`	Real-time On-line Learning of Transformed Hidden Markov Models from Video. AISTATS Nemanja Petrovic, Nebojsa Jojic, Brendan J. Frey, Thomas S. Huang
2003	—	`conf`	Robust variational speech separation using fewer microphones than speakers. ICASSP (1) Steven J. Rennie, Parham Aarabi, Trausti T. Kristjansson, Brendan J. Frey, Kannan Achan
2003	A	`conf`	Robust variational speech separation using fewer microphones than speakers. ICME Steven J. Rennie, Parham Aarabi, Trausti T. Kristjansson, Brendan J. Frey, Kannan Achan
2003	J	`jnl`	Transformation-Invariant Clustering Using the EM Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. Brendan J. Frey, Nebojsa Jojic
2003	A*	`conf`	Unsupervised Image Translation. ICCV Rómer Rosales, Kannan Achan, Brendan J. Frey
2002	Misc	`conf`	Accounting for uncertainity in observations: A new paradigm for Robust Automatic Speech Recognition. ICASSP Trausti T. Kristjansson, Brendan J. Frey
2002	—	`conf`	An iterative dynamic programming approach to 2-D phase unwrapping. ICIP (3) Lei Ying, David C. Munson, Ralf Koetter, Brendan J. Frey
2002	C	`conf`	An iterative dynamic programming approach to 2-D phase unwrapping. IGARSS Lei Ying, Brendan J. Frey, Ralf Koetter, David C. Munson
2002	C	`conf`	Balancing rewrapping error and smoothness in two dimensional phase unwrapping problems. IGARSS David C. Schultz, Ralf Koetter, Brendan J. Frey, David C. Munson Jr.
2002	A	`conf`	Combination of statistical and rule-based approaches for spoken language understanding. INTERSPEECH Ye-Yi Wang, Alex Acero, Ciprian Chelba, Brendan J. Frey, Leon Wong
2002	—	`conf`	Fast Transformation-Invariant Factor Analysis. NIPS Anitha Kannan, Nebojsa Jojic, Brendan J. Frey
2002	—	`conf`	Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance. ECCV (4) Chris Pal, Brendan J. Frey, Nebojsa Jojic
2002	Misc	`conf`	Noise robust speech recognition using Gaussian basis functions for non-linear likelihood function approximation. ICASSP Chris Pal, Brendan J. Frey, Trausti T. Kristjansson
2002	C	`conf`	Phase unwrapping by minimizing Kikuchi free energy. IGARSS Kannan Achan, Brendan J. Frey, Ralf Koetter, David C. Munson
2001	B	`conf`	"Codes" on images and iterative phase unwrapping. ITW Brendan J. Frey, Ralf Koetter, Nemanja Petrovic
2001	A	`conf`	A Factorized Variational Technique for Phase Unwrapping in Markov Random Field. UAI Kannan Achan, Brendan J. Frey, Ralf Koetter
2001	—	`conf`	ALGONQUIN - Learning Dynamic Noise Models From Noisy Speech for Robust Speech Recognition. NIPS Brendan J. Frey, Trausti T. Kristjansson, Li Deng, Alex Acero
2001	A	`conf`	ALGONQUIN: iterating laplace's method to remove multiple types of acoustic distortion for robust speech recognition. INTERSPEECH Brendan J. Frey, Li Deng, Alex Acero, Trausti T. Kristjansson
2001	—	`conf`	Enforcing Integrability for Surface Reconstruction Algorithms Using Belief Propagation in Graphical Models. CVPR (1) Nemanja Petrovic, Ira Cohen, Brendan J. Frey, Ralf Koetter, Thomas S. Huang
2001	J	`jnl`	Factor graphs and the sum-product algorithm. IEEE Trans. Inf. Theory Frank R. Kschischang, Brendan J. Frey, Hans-Andrea Loeliger
2001	—	`conf`	Fast, Large-Scale Transformation-Invariant Clustering. NIPS Brendan J. Frey, Nebojsa Jojic
2001	J	`jnl`	Introduction to the special issue on codes on graphs and iterative algorithms. IEEE Trans. Inf. Theory Brendan J. Frey, Ralf Koetter, G. David Forney Jr., Frank R. Kschischang, Robert J. McEliece, Daniel A. Spielman
2001	—	`conf`	Learning Flexible Sprites in Video Layers. CVPR (1) Nebojsa Jojic, Brendan J. Frey
2001	A	`conf`	Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching. AISTATS Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman
2001	—	`conf`	Product Analysis: Learning to Model Observations as Products of Hidden Variables. NIPS Brendan J. Frey, Anitha Kannan, Nebojsa Jojic
2001	A*	`conf`	Separating Appearance from Deformation. ICCV Nebojsa Jojic, Patrice Y. Simard, Brendan J. Frey, David Heckerman
2001	J	`jnl`	Signal-space characterization of iterative decoding. IEEE Trans. Inf. Theory Brendan J. Frey, Ralf Koetter, Alexander Vardy
2001	Misc	`conf`	Towards non-stationary model-based noise adaptation for large vocabulary speech recognition. ICASSP Trausti T. Kristjansson, Brendan J. Frey, Li Deng, Alex Acero
2001	Misc	`conf`	Unwrapping phase images by propagating probabilities across graphs. ICASSP Ralf Koetter, Brendan J. Frey, Nemanja Petrovic, David C. Munson Jr.
2001	Misc	`conf`	Unwrapping phases by relaxed mean field inference. ICASSP Kannan Achan, Brendan J. Frey, Ralf Koetter, David C. Munson Jr.
2001	—	`conf`	Very loopy belief propagation for unwrapping phase images. NIPS Brendan J. Frey, Ralf Koetter, Nemanja Petrovic
2000	—	`conf`	Accumulator Networks: Suitors of Local Probability Propagation. NIPS Brendan J. Frey, Anitha Kannan
2000	A	`conf`	Event-Coupled Hidden Markov Models. IEEE International Conference on Multimedia and Expo (I) Trausti T. Kristjansson, Brendan J. Frey, Thomas S. Huang
2000	A*	`conf`	Filling In Scenes by Propagating Probabilities through Layers and Into Appearance Models. CVPR Brendan J. Frey
2000	—	`conf`	Keeping Flexible Active Contours on Track using Metropolis Updates. NIPS Trausti T. Kristjansson, Brendan J. Frey
2000	A	`conf`	Learning Graphical Models of Images, Videos and Their Spatial Transformations. UAI Brendan J. Frey, Nebojsa Jojic
2000	B	`conf`	Learning Sparse Multiple Cause Models. ICPR Milind R. Naphade, Lawrence S. Chen, Thomas S. Huang, Brendan J. Frey
2000	—	`conf`	Sequentially Fitting "Inclusive" Trees for Inference in Noisy-OR Networks. NIPS Brendan J. Frey, Relu Patrascu, Tommi S. Jaakkola, Jodi Moran
2000	A*	`conf`	Transformed Hidden Markov Models: Estimating Mixture Models of Images and Inferring Spatial Transformations in Video Sequence. CVPR Nebojsa Jojic, Nemanja Petrovic, Thomas S. Huang, Brendan J. Frey
1999	A*	`conf`	A Probabilistic Framework for Embedded Face and Facial Expression Recognition. CVPR Antonio Colmenarez, Brendan J. Frey, Thomas S. Huang
1999	—	`conf`	Detection and Tracking of Faces and Facial Features. ICIP (1) Antonio Colmenarez, Brendan J. Frey, Thomas S. Huang
1999	—	`conf`	Embedded Face and Facial Expression Recognition. ICIP (1) Antonio Colmenarez, Brendan J. Frey, Thomas S. Huang
1999	A*	`conf`	Estimating Mixture Models of Images and Inferring Spatial Transformations Using the EM Algorithm. CVPR Brendan J. Frey, Nebojsa Jojic
1999	—	`conf`	Local Probability Propagation for Factor Analysis. NIPS Brendan J. Frey
1999	A*	`conf`	Time-Series Classification Using Mixed-State Dynamic Bayesian Networks. CVPR Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang
1999	—	`conf`	Topographic Transformation as a Discrete Latent Variable. NIPS Nebojsa Jojic, Brendan J. Frey
1999	A*	`conf`	Transformed Component Analysis: Joint Estimation of Spatial Transformations and Image Components. ICCV Brendan J. Frey, Nebojsa Jojic
1999	A	`conf`	Variational Learning in Mixed-State Dynamic Graphical Models. UAI Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang
1999	J	`jnl`	Variational Learning in Nonlinear Gaussian Belief Networks. Neural Comput. Brendan J. Frey, Geoffrey E. Hinton
1998	J	`jnl`	Early Detection and Trellis Splicing: Reduced-Complexity Iterative Decoding. IEEE J. Sel. Areas Commun. Brendan J. Frey, Frank R. Kschischang
1998	J	`jnl`	Iterative Decoding of Compound Codes by Probability Propagation in Graphical Models. IEEE J. Sel. Areas Commun. Frank R. Kschischang, Brendan J. Frey
1998	A*	`conf`	Mixtures of Local Linear Subspaces for Face Recognition. CVPR Brendan J. Frey, Antonio Colmenarez, Thomas S. Huang
1998	—	`conf`	Probabalistic Multimedia Objects (Multijects): A Novel Approach to Video Indexing and Retrieval in Multimedia Systems. ICIP (3) Milind R. Naphade, Trausti T. Kristjansson, Brendan J. Frey, Thomas S. Huang
1997	—	`conf`	A Revolution: Belief Propagation in Graphs with Cycles. NIPS Brendan J. Frey, David J. C. MacKay
1997	J	`jnl`	Efficient Stochastic Source Coding and an Application to a Bayesian Network Source Model. Comput. J. Brendan J. Frey, Geoffrey E. Hinton
1997	A	`conf`	Variational Inference for continuous Sigmoidal Bayesian Networks. AISTATS Brendan J. Frey
1996	—	`conf`	Continuous Sigmoidal Belief Networks Trained using Slice Sampling. NIPS Brendan J. Frey
1996	B	`conf`	Free Energy Coding. Data Compression Conference Brendan J. Frey, Geoffrey E. Hinton
1995	—	`conf`	Does the Wake-sleep Algorithm Produce Good Density Estimators? NIPS Brendan J. Frey, Geoffrey E. Hinton, Peter Dayan