Brendan J. Frey

发表

Variational Learning in Nonlinear Gaussian Belief Networks

Brendan J. Frey, Geoffrey E. Hinton, B. Frey, 1999, Neural Computation.

Iterative Decoding of Compound Codes by Probability Propagation in Graphical Models

Brendan J. Frey, Frank R. Kschischang, B. Frey, 1998, IEEE J. Sel. Areas Commun..

Non-parametric Bayesian approach to post-translational modification refinement of predictions from tandem mass

Brendan J. Frey, Clement Chung, B. Frey, 2013 .

Non-metric affinity propagation for unsupervised image categorization

Brendan J. Frey, Delbert Dueck, B. Frey, 2007, 2007 IEEE 11th International Conference on Computer Vision.

GenRate: A Generative Model that Reveals Novel Transcripts in Genome-Tiling Microarray Data

Brendan J. Frey, Quaid Morris, Timothy R. Hughes, 2006, J. Comput. Biol..

Probabilistic Inference of Speech Signals from Phaseless Spectrograms

Brendan J. Frey, Kannan Achan, Sam T. Roweis, 2003, NIPS.

Challenges in estimating percent inclusion of alternatively spliced junctions from RNA-seq data

Brendan J. Frey, Nebojsa Jojic, Boyko Kakaradov, 2012, BMC Bioinformatics.

A segment based probabilistic generative model of speech

Brendan J. Frey, Aaron Hertzmann, Kannan Achan, 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..

Product Analysis: Learning to Model Observations as Products of Hidden Variables

Brendan J. Frey, Nebojsa Jojic, Anitha Kannan, 2001, NIPS.

Graphical Models for Machine Learning and Digital Communication

Brendan J. Frey, B. Frey, 1998 .

Advances in Algorithms for Inference and Learning in Complex Probability Models

Brendan J. Frey, Nebojsa Jojic, B. Frey, 2003 .

Variational Probabilistic Speech Separation Using Microphone Arrays

Brendan J. Frey, Parham Aarabi, Steven J. Rennie, 2007, IEEE Transactions on Audio, Speech, and Language Processing.

Learning in Biomedicine and Bioinformatics Using Affinity Propagation

Brendan J. Frey, 2007, ICMLA 2007.

Computational refinement of post-translational modifications predicted from tandem mass spectrometry

Jian Liu, Brendan J. Frey, Clement Chung, 2011, Bioinform..

Learning better image representations using ‘flobject analysis’

Brendan J. Frey, Patrick S. Li, Inmar E. Givoni, 2011, CVPR 2011.

Rateless Coding for Arbitrary Channel Mixtures With Decoder Channel State Information

Brendan J. Frey, Frank R. Kschischang, Stark C. Draper, 2009, IEEE Transactions on Information Theory.

Stel component analysis: Modeling spatial correlations in image class structure

Brendan J. Frey, Nebojsa Jojic, Alessandro Perina, 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.

A Segmental HMM for Speech Waveforms

Brendan J. Frey, Kannan Achan, Sam T. Roweis, 2004 .

Additional file 2 of Does conservation account for splicing patterns

Brendan J. Frey, Michael Wainberg, Babak Alipanahi, 2016 .

Deep learning of the tissue-regulated splicing code

Brendan J. Frey, Hui Yuan Xiong, Leo J. Lee, 2014, Bioinform..

Are Random Forests Truly the Best Classifiers?

Brendan J. Frey, Michael Wainberg, Babak Alipanahi, 2016, J. Mach. Learn. Res..

Learning Wake-Sleep Recurrent Attention Models

Brendan J. Frey, Ruslan Salakhutdinov, Roger B. Grosse, 2015, NIPS.

Probabilistic Inference in Graphical Models

Brendan J. Frey, B. Frey, 1998 .

Fast Exact Inference for Recursive Cardinality Models

Brendan J. Frey, Ryan P. Adams, Richard S. Zemel, 2012, UAI.

Extending Factor Graphs so as to Unify Directed and Undirected Graphical Models

Brendan J. Frey, B. Frey, 2002, UAI.

Model-based detection of alternative splicing signals

Brendan J. Frey, Yoseph Barash, Benjamin J. Blencowe, 2010, Bioinform..

Learning Sparse Multiple Cause Models

Brendan J. Frey, Milind R. Naphade, Thomas S. Huang, 2000, ICPR.

A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements

Brendan J. Frey, Anitha Kannan, Andrew Emili, 2007, RECOMB.

Combination of statistical and rule-based approaches for spoken language understanding

Brendan J. Frey, Alex Acero, Ye-Yi Wang, 2002, INTERSPEECH.

Balancing rewrapping error and smoothness in two dimensional phase unwrapping problems

Brendan J. Frey, Ralf Koetter, David C. Munson, 2002, IEEE International Geoscience and Remote Sensing Symposium.

Continuous Sigmoidal Belief Networks Trained using Slice Sampling

Brendan J. Frey, B. Frey, 1996, NIPS.

Learning flexible sprites in video layers

Brendan J. Frey, Nebojsa Jojic, B. Frey, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

STORMSeq: A Method for Ranking Regulatory Sequences by Integrating Experimental Datasets with Diverse Computational Predictions

Brendan J. Frey, Jim C. Huang, B. Frey, 2011, Handbook of Statistical Bioinformatics.

Winner-Take-All Autoencoders

Brendan J. Frey, Alireza Makhzani, B. Frey, 2014, NIPS.

FLoSS: Facility location for subspace segmentation

Brendan J. Frey, Parham Aarabi, Nevena Lazic, 2009, 2009 IEEE 12th International Conference on Computer Vision.

Factor graphs and the sum-product algorithm

Brendan J. Frey, Frank R. Kschischang, Hans-Andrea Loeliger, 2001, IEEE Trans. Inf. Theory.

Keeping Flexible Active Contours on Track using Metropolis Updates

Brendan J. Frey, Trausti T. Kristjansson, B. Frey, 2000, NIPS.

Machine Learning in Genomic Medicine: A Review of Computational Problems and Data Sets

Brendan J. Frey, Babak Alipanahi, Andrew Delong, 2016, Proceedings of the IEEE.

A Factorized Variational Technique for Phase Unwrapping in Markov Random Field pdf

Brendan J. Frey, Ralf Koetter, Kannan Achan, 2001, UAI.

Bayesian Inference of MicroRNA Targets from Sequence and Expression Data

Brendan J. Frey, Quaid Morris, Jim C. Huang, 2007, J. Comput. Biol..

"Codes" on images and iterative phase unwrapping

Brendan J. Frey, Ralf Koetter, Nemanja Petrovic, 2001, Proceedings 2001 IEEE Information Theory Workshop (Cat. No.01EX494).

COSSMO: predicting competitive alternative splice site selection using deep learning

Brendan J. Frey, Hannes Bretschneider, Khalid Zuberi, 2018, bioRxiv.

Curiosity in Science and Technology

Michael Picheny, Brendan J. Frey, Konstantinos Konstantinides, 2009 .

Manuscript Word Count: Abstract: 193; Text, with citations, without references: 3921 Number of Tables: 2; Supplemental Files: Yes Whole-genome sequencing suggests schizophrenia risk mechanisms in humans with 22q11.2 deletion syndrome

Brendan J. Frey, Daniele Merico, Babak Alipanahi, 2015 .

Using ``epitomes'' to model genetic diversity: Rational design of HIV vaccine cocktails

Brendan J. Frey, Nebojsa Jojic, David Heckerman, 2005, NIPS 2005.

Sequentially Fitting "Inclusive" Trees for Inference in Noisy-OR Networks

Brendan J. Frey, Tommi S. Jaakkola, Relu Patrascu, 2000, NIPS.

Detection and tracking of faces and facial features

Brendan J. Frey, Thomas S. Huang, Antonio Colmenarez, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Cumulative Distribution Networks and the Derivative-sum-product Algorithm: Models and Inference for Cumulative Distribution Functions on Graphs

Brendan J. Frey, Jim C. Huang, B. Frey, 2008, J. Mach. Learn. Res..

Detecting MicroRNA Targets by Linking Sequence, MicroRNA and Gene Expression Data

Brendan J. Frey, Quaid Morris, Jim C. Huang, 2006, RECOMB.

Unsupervised image translation

Brendan J. Frey, Rómer Rosales, Kannan Achan, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

Signal-space characterization of iterative decoding

Brendan J. Frey, Alexander Vardy, Ralf Koetter, 2001, IEEE Trans. Inf. Theory.

Unwrapping of MR phase images using a Markov random field model

Brendan J. Frey, Zhi-Pei Liang, Lei Ying, 2006, IEEE Transactions on Medical Imaging.

A Generative Model of Dense Optical Flow in Layers

Brendan J. Frey, Nebojsa Jojic, Anitha Kannan, 2004, SCVMA.

Deciphering the splicing code

Brendan J. Frey, Weijun Gao, Ofer Shai, 2010, Nature.

Mixture Modeling by Affinity Propagation

Brendan J. Frey, Delbert Dueck, 2005, NIPS.

Constructing Treatment Portfolios Using Affinity Propagation

Brendan J. Frey, Nebojsa Jojic, Delbert Dueck, 2008, RECOMB.

A probabilistic framework for embedded face and facial expression recognition

Brendan J. Frey, Thomas S. Huang, Antonio Colmenarez, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Real-time On-line Learning of Transformed Hidden Markov Models from Video

Brendan J. Frey, Nebojsa Jojic, Thomas S. Huang, 2003, AISTATS.

Transformation-Invariant Clustering and Dimensionality Reduction Using EM

Brendan J. Frey, Nebojsa Jojic, B. Frey, 2001 .

Enforcing integrability for surface reconstruction algorithms using belief propagation in graphical models

Brendan J. Frey, Thomas S. Huang, Ralf Koetter, 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

GenRate: A Generative Model That Finds and Scores New Genes and Exons in Genomic Microarray Data

Brendan J. Frey, Wen Zhang, Quaid Morris, 2004, Pacific Symposium on Biocomputing.

Introduction to the special issue on codes on graphs and iterative algorithms

Brendan J. Frey, Frank R. Kschischang, Daniel A. Spielman, 2001, IEEE Trans. Inf. Theory.

Shining Bright: The Golden Era of Signal Processing

Vikram Krishnamurthy, Brendan J. Frey, Holger Boche, 2011 .

Matrix Tile Analysis pdf

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

Learning Montages of Transformed Latent Images as Representations of Objects That Change in Appearance

Brendan J. Frey, Nebojsa Jojic, Christopher Joseph Pal, 2002, ECCV.

Phase unwrapping by minimizing Kikuchi free energy

Brendan J. Frey, Ralf Koetter, David C. Munson, 2002, IEEE International Geoscience and Remote Sensing Symposium.

Learning the "Epitome" of an Image

Brendan J. Frey, Nebojsa Jojic, B. Frey, 2002 .

Factor Graphs and Algorithms

Brendan J. Frey, Frank R. Kschischang, Hans-Andrea Loeliger, 2008 .

Unwrapping phase images by propagating probabilities across graphs

Brendan J. Frey, Ralf Koetter, David C. Munson, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Survey Propagation beyond Constraint Satisfaction Problems

Brendan J. Frey, Siamak Ravanbakhsh, Christopher Srinivasa, 2016, AISTATS.

Epitomic analysis of appearance and shape

Brendan J. Frey, Nebojsa Jojic, Anitha Kannan, 2003, Proceedings Ninth IEEE International Conference on Computer Vision.

ALGONQUIN - Learning Dynamic Noise Models From Noisy Speech for Robust Speech Recognition

Brendan J. Frey, Li Deng, Alex Acero, 2001, NIPS.

A Winner-Take-All Method for Training Sparse Convolutional Autoencoders pdf

Brendan J. Frey, Alireza Makhzani, 2014, ArXiv.

k-Sparse Autoencoders pdf

Brendan J. Frey, Alireza Makhzani, Alireza Makhzani, 2013, ICLR.

Robust variational speech separation using fewer microphones than speakers

Brendan J. Frey, Parham Aarabi, Trausti T. Kristjansson, 2003, 2003 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2003. Proceedings. (ICASSP '03)..

Video Epitomes

Brendan J. Frey, Nebojsa Jojic, Vincent Cheung, 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).

Fast Transformation-Invariant Component Analysis

Brendan J. Frey, Nebojsa Jojic, Anitha Kannan, 2007, International Journal of Computer Vision.

Points Clustering by Passing Messages Between Data

Brendan J. Frey, B. Frey, 2007 .

Fast Transformation-Invariant Factor Analysis

Brendan J. Frey, Nebojsa Jojic, Anitha Kannan, 2002, NIPS.

Event-coupled hidden Markov models

Brendan J. Frey, Thomas S. Huang, Trausti T. Kristjansson, 2000, 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532).

Estimating mixture models of images and inferring spatial transformations using the EM algorithm

Brendan J. Frey, Nebojsa Jojic, B. Frey, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Learning Dynamic Noise Models from Noisy Speech for Robust Speech Recognition

Brendan J. Frey, Trausti T. Kristjansson, Alex Acero, 2001 .

Learning Graphical Models of Images, Videos and Their Spatial Transformations

Brendan J. Frey, Nebojsa Jojic, B. Frey, 2000, UAI.

Time-series classification using mixed-state dynamic Bayesian networks

Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang, 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

Mixtures of local linear subspaces for face recognition

Brendan J. Frey, Thomas S. Huang, Antonio Colmenarez, 1998, Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231).

Impact of Signal Processing and of Our Work

Vikram Krishnamurthy, Brendan J. Frey, Jeff A. Bilmes, 2010 .

Flexible Priors for Exemplar-based Clustering

Brendan J. Frey, Richard S. Zemel, Daniel Tarlow, 2008, UAI.

GenXHC: a probabilistic generative model for cross-hybridization compensation in high-density genome-wide microarray data

Brendan J. Frey, Quaid Morris, Timothy R. Hughes, 2005, ISMB.

Joint Design of Data Analysis Algorithms and User Interfaces for Video Applications

Brendan J. Frey, Nebojsa Jojic, Sumit Basu, 2003 .

Classifying and segmenting microscopy images with deep multiple instance learning

Brendan J. Frey, Jimmy Ba, Oren Z. Kraus, 2015, Bioinform..

Video Epitomes

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

Non-parametric Bayesian approach to post-translational modification refinement of predictions from tandem mass spectrometry

Brendan J. Frey, Clement Chung, Andrew Emili, 2013, Bioinform..

Impacto Global da Signal Processing Magazine

Ghassan AlRegib, Mihaela van der Schaar, Brendan J. Frey, 2011 .

Transformed component analysis: joint estimation of spatial transformations and image components

Brendan J. Frey, Nebojsa Jojic, B. Frey, 1999, Proceedings of the Seventh IEEE International Conference on Computer Vision.

Semi-Supervised Affinity Propagation with Instance-Level Constraints

Brendan J. Frey, Inmar E. Givoni, B. Frey, 2009, AISTATS.

Solving the Uncapacitated Facility Location Problem Using Message Passing Algorithms

Brendan J. Frey, Parham Aarabi, Nevena Lazic, 2010, AISTATS.

Embracing a New Golden Age of Signal Processing

Michael Picheny, Brendan J. Frey, Konstantinos Konstantinides, 2009 .

Learning in Biomedicine and Bioinformatics Using Affinity Propagation

Brendan J. Frey, 2007, Sixth International Conference on Machine Learning and Applications (ICMLA 2007).

Interpreting Graph Cuts as a Max-Product Algorithm pdf

Brendan J. Frey, Richard S. Zemel, Daniel Tarlow, 2011, ArXiv.

Local Probability Propagation for Factor Analysis

Brendan J. Frey, 1999, NIPS.

Translating images by unsupervised estimation of switching filters

Brendan J. Frey, Kannan Achan, Romer Rosales, 2004, IEEE Workshop on Statistical Signal Processing, 2003.

Filling in scenes by propagating probabilities through layers and into appearance models

Brendan J. Frey, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Future Research Directions

Brendan J. Frey, 1998 .

Learning structural element patch models with hierarchical palettes

Brendan J. Frey, Ryan P. Adams, Inmar E. Givoni, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Efficient Stochastic Source Coding and an Application to a Bayesian Network Source Model

Brendan J. Frey, Geoffrey E. Hinton, B. Frey, 1997, Comput. J..

Interactive Decoding of a Broadcast Message

Brendan J. Frey, Frank R. Kschischang, Stark C. Draper, 2003 .

A Binary Variable Model for Affinity Propagation

Brendan J. Frey, Inmar E. Givoni, B. Frey, 2009, Neural Computation.

A compendium of RNA-binding motifs for decoding gene regulation

Brendan J. Frey, Xiao Li, Hong Zheng, 2013, Nature.

Learning mixtures of smooth, nonuniform deformation models for probabilistic image matching

Brendan J. Frey, Nebojsa Jojic, Patrice Y. Simard, 2001, AISTATS.

Topographic Transformation as a Discrete Latent Variable

Brendan J. Frey, Nebojsa Jojic, 1999, NIPS.

Noise robust speech recognition using Gaussian basis functions for non-linear likelihood function approximation

Brendan J. Frey, Christopher Joseph Pal, Trausti T. Kristjansson, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Transformed hidden Markov models: estimating mixture models of images and inferring spatial transformations in video sequences

Brendan J. Frey, Nebojsa Jojic, Thomas S. Huang, 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).

Learning Generative Models of Similarity Matrices pdf

Brendan J. Frey, Rómer Rosales, 2003, UAI.

ALGONQUIN: iterating laplace's method to remove multiple types of acoustic distortion for robust speech recognition

Brendan J. Frey, Li Deng, Alex Acero, 2001, INTERSPEECH.

A simple algorithm that discovers efficient perceptual codes

Peter Dayan, Brendan J. Frey, Geoffrey E. Hinton, 1997 .

Multibaseline InSAR terrain elevation estimation: a dynamic programming approach

Brendan J. Frey, Lei Ying, Ralf Koetter, 2003, Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429).

A Revolution: Belief Propagation in Graphs with Cycles

Brendan J. Frey, David J. C. MacKay, B. Frey, 1997, NIPS.

Inferring global levels of alternative splicing isoforms using a generative model of microarray data

Brendan J. Frey, Quaid Morris, Ofer Shai, 2006, Bioinform..

Cross-Pollination in Signal Processing Technical Areas

Michael Picheny, Brendan J. Frey, Konstantinos Konstantinides, 2009 .

Unwrapping phases by relaxed mean field inference

Brendan J. Frey, Ralf Koetter, David C. Munson, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

PixelGAN Autoencoders

Brendan J. Frey, Alireza Makhzani, Alireza Makhzani, 2017, NIPS.

Probabilistic n-Choose-k Models for Classification and Ranking

Brendan J. Frey, Ryan P. Adams, Richard S. Zemel, 2012, NIPS.

Denoising and Untangling Graphs Using Degree Priors

Brendan J. Frey, Quaid Morris, B. Frey, 2003, NIPS.

Using epitomes to model genetic diversity: Rational design of HIV vaccines

Brendan J. Frey, Nebojsa Jojic, David Heckerman, 2005, NIPS.

Min-Max Propagation

Brendan J. Frey, Siamak Ravanbakhsh, Inmar E. Givoni, 2017, NIPS.

Accounting for uncertainity in observations: A new paradigm for Robust Automatic Speech Recognition

Brendan J. Frey, Trausti T. Kristjansson, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Finding Novel Transcripts in High-Resolution Genome-Wide Microarray Data Using the GenRate Model

Brendan J. Frey, Mark D. Robinson, Quaid Morris, 2005, RECOMB.

Towards non-stationary model-based noise adaptation for large vocabulary speech recognition

Brendan J. Frey, Li Deng, Alex Acero, 2001, 2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221).

Bayesian Painting by Numbers: Flexible Priors for Colour-Invariant Object Recognition

Brendan J. Frey, Ryan P. Adams, Inmar E. Givoni, 2013, Machine Learning for Computer Vision.

Adaptive dropout for training deep neural networks

Brendan J. Frey, Jimmy Ba, Jimmy Ba, 2013, NIPS.

Iterated Conditional Modes for Cross-Hybridization Compensation in DNA Microarray Data

Brendan J. Frey, Quaid Morris, Jim C. Huang, 2004 .

Analysis of an iterative dynamic programming approach to 2-D phase unwrapping

Brendan J. Frey, Lei Ying, Ralf Koetter, 2002, Proceedings. International Conference on Image Processing.

Multi-way clustering of microarray data using probabilistic sparse matrix factorization

Brendan J. Frey, Delbert Dueck, Quaid Morris, 2005, ISMB.

Probability Propagation and Iterative Decoding

Brendan J. Frey, Frank R. Kschischang, B. Frey, 1996 .

Beyond genomics: Detecting codes and signals in the cellular transcriptome [Plenary speakers]

Brendan J. Frey, 2006, ISIT.

Accumulator Networks: Suitors of Local Probability Propagation

Brendan J. Frey, Anitha Kannan, 2000, NIPS.

Speech recognition in adverse environments: a probabilistic approach

Brendan J. Frey, Trausti T. Kristjansson, B. Frey, 2002 .

HiCSR: a Hi-C super-resolution framework for producing highly realistic contact maps

Brendan J. Frey, Leo J. Lee, Michael C Dimmick, 2020, bioRxiv.

Variational Speech Separation of More Sources than Mixtures

Brendan J. Frey, Parham Aarabi, Kannan Achan, 2005, AISTATS.

Graph Cuts is a Max-Product Algorithm

Brendan J. Frey, Richard S. Zemel, Daniel Tarlow, 2011, UAI.

On interacting encoders and decoders in multiuser settings

Brendan J. Frey, Frank R. Kschischang, Stark C. Draper, 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

Variational Learning in Mixed-State Dynamic Graphical Models

Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huang, 1999, UAI.

Min-Max Problems on Factor Graphs

Brendan J. Frey, Russell Greiner, Siamak Ravanbakhsh, 2014, ICML.

Early Detection and Trellis Splicing: Reduced-Complexity Iterative Decoding

Brendan J. Frey, Frank R. Kschischang, B. Frey, 1998, IEEE J. Sel. Areas Commun..

Embedded face and facial expression recognition

Brendan J. Frey, Thomas S. Huang, Antonio Colmenarez, 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

Training Restricted Boltzmann Machine by Perturbation pdf

Brendan J. Frey, Russell Greiner, Siamak Ravanbakhsh, 2014, ArXiv.

Hierarchical Affinity Propagation pdf

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

Comparing Sequence and Expression for Predicting microRNA Targets Using GenMIR3

Brendan J. Frey, Quaid Morris, Jim C. Huang, 2007, Pacific Symposium on Biocomputing.

Separating appearance from deformation

Brendan J. Frey, Nebojsa Jojic, Patrice Y. Simard, 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

Structured ranking learning using cumulative distribution networks

Brendan J. Frey, Jim C. Huang, B. Frey, 2008, NIPS.

Fast, Large-Scale Transformation-Invariant Clustering

Brendan J. Frey, Nebojsa Jojic, B. Frey, 2001, NIPS.

Stel component analysis: Modeling spatial correlations in image class structure

Brendan J. Frey, Nebojsa Jojic, Alessandro Perina, 2009, CVPR.

Generating and designing DNA with deep generative models pdf

Brendan J. Frey, Nathan Killoran, David Duvenaud, 2017, ArXiv.

An iterative dynamic programming approach to 2-D phase unwrapping

Brendan J. Frey, Lei Ying, Ralf Koetter, 2002, IGARSS.

Factor Analysis Using Batch and Online EM

Brendan J. Frey, 1999 .

Concurrent turbo-decoding

Brendan J. Frey, Frank R. Kschischang, P. G. Gulak, 1997, Proceedings of IEEE International Symposium on Information Theory.

Probabilistic Inference of Alternative Splicing Events in Microarray Data

Brendan J. Frey, Quaid Morris, Ofer Shai, 2004, NIPS.

Joint estimation of noise and channel distortion in a generalized EM framework

Brendan J. Frey, Li Deng, Alejandro Acero, 2001, IEEE Workshop on Automatic Speech Recognition and Understanding, 2001. ASRU '01..

Bayesian n-Choose-k Models for Classification and Ranking

Brendan J. Frey, B. Frey, 2012, NIPS 2012.

Response to Comment on "Clustering by Passing Messages Between Data Points"

Brendan J. Frey, Delbert Dueck, B. Frey, 2008, Science.

Very loopy belief propagation for unwrapping phase images

Brendan J. Frey, Ralf Koetter, Nemanja Petrovic, 2001, NIPS.

Convolutional Factor Graphs as Probabilistic Models pdf

Brendan J. Frey, Frank R. Kschischang, Yongyi Mao, 2004, UAI.

Additional file 3 of Does conservation account for splicing patterns

Brendan J. Frey, Michael Wainberg, Babak Alipanahi, 2016 .

Factorizing appearance using epitomic flobject analysis

Brendan J. Frey, Patrick S. Li, B. Frey, 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.

Bayesian prediction of tissue-regulated splicing using RNA sequence and cellular context

Brendan J. Frey, Yoseph Barash, Hui Yuan Xiong, 2011, Bioinform..

Efficient variable length channel coding for unknown DMCs

Brendan J. Frey, Frank R. Kschischang, Stark C. Draper, 2004, International Symposium onInformation Theory, 2004. ISIT 2004. Proceedings..

The automated extraction of environmentally relevant features from digital imagery using Bayesian multi-resolution analysis

Brendan J. Frey, Chris Pal, Dave Swayne, 2001 .

Probabilistic multimedia objects (multijects): a novel approach to video indexing and retrieval in multimedia systems

Brendan J. Frey, Milind R. Naphade, Thomas S. Huang, 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

Learning appearance and transparency manifolds of occluded objects in layers

Brendan J. Frey, Nebojsa Jojic, Anitha Kannan, 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

Does the Wake-sleep Algorithm Produce Good Density Estimators?

Brendan J. Frey, Geoffrey E. Hinton, Peter Dayan, 1995, NIPS.

Learning to cluster using local neighborhood structure

Brendan J. Frey, Rómer Rosales, Kannan Achan, 2004, ICML '04.

Free energy coding

Brendan J. Frey, Geoffrey E. Hinton, B. Frey, 1996, Proceedings of Data Compression Conference - DCC '96.

A comparison of algorithms for inference and learning in probabilistic graphical models

Brendan J. Frey, Nebojsa Jojic, B. Frey, 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Bayesian networks for pattern classification, data compression, and channel coding

Brendan J. Frey, Geoffrey E. Hinton, B. Frey, 1997 .

Robust variational speech separation using fewer microphones than speakers

Brendan J. Frey, Parham Aarabi, Trausti T. Kristjansson, 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

Generative Model for Layers of Appearance and Deformation

Brendan J. Frey, Nebojsa Jojic, Anitha Kannan, 2005, AISTATS.

cDeepbind: A context sensitive deep learning model of RNA-protein binding

Brendan J. Frey, David Duvenaud, Leo J. Lee, 2018, bioRxiv.

MBNL proteins repress ES-cell-specific alternative splicing and reprogramming

Eric T. Wang, Christopher B. Burge, Brendan J. Frey, 2013, Nature.

A Panoramic View of Yeast Noncoding RNA Processing

Brendan J. Frey, Mark D. Robinson, Nevan J. Krogan, 2003, Cell.

Spatial Bias Removal in Microarray Images

Brendan J. Frey, Ofer Shai, Quaid D. Morris, 2003 .

Transcriptional Profiling of Endocrine Cerebro-Osteodysplasia Using Microarray and Next-Generation Sequencing

Brendan J. Frey, Benjamin J. Blencowe, Robert A. Hegele, 2011, PloS one.