Temporal Low-Order Statistics of Natural Sounds. - Hagai Attias; Christoph E. Schreiner (NIPS, 1996)

Coding of Naturalistic Stimuli by Auditory Midbrain Neurons. - Hagai Attias; Christoph E. Schreiner (NIPS, 1997)

Learning a Hierarchical Belief Network of Independent Factor Analyzers. - Hagai Attias (NIPS, 1998)

Blind Source Separation and Deconvolution: the Dynamic Component Analysis Algorithm. - Hagai Attias; Christoph E. Schreiner (Neural Comput., 1998)

Hierarchical IFA Belief Networks. - Hagai Attias (AISTATS, 1999)

A Variational Baysian Framework for Graphical Models. - Hagai Attias (NIPS, 1999)

Independent Factor Analysis with Temporally Structured Sources. - Hagai Attias (NIPS, 1999)

Inferring Parameters and Structure of Latent Variable Models by Variational Bayes. - Hagai Attias (UAI, 1999)

Independent Factor Analysis. - Hagai Attias (Neural Comput., 1999)

Speech Denoising and Dereverberation Using Probabilistic Models. - Hagai Attias; John C. Platt; Alex Acero; Li Deng 001 (NIPS, 2000)

Learning in high dimensions: modular mixture models. - Hagai Attias (AISTATS, 2001)

A new method for speech denoising and robust speech recognition using probabilistic models for clean speech and for noise. - Hagai Attias; Li Deng 001; Alex Acero; John C. Platt (INTERSPEECH, 2001)

Beat-ID: identifying music via beat analysis. - Darko Kirovski; Hagai Attias (IEEE Workshop on Multimedia Signal Processing, 2002)

Audio-Video Sensor Fusion with Probabilistic Graphical Models. - Matthew J. Beal; Hagai Attias; Nebojsa Jojic (ECCV (1), 2002)

A self-calibrating algorithm for speaker tracking based on audio-visual statistical models. - Matthew J. Beal; Nebojsa Jojic; Hagai Attias (ICASSP, 2002)

Audio Watermark Robustness to Desynchronization via Beat Detection. - Darko Kirovski; Hagai Attias (Information Hiding, 2002)

A new approach to speech enhancement by a microphone array using EM and mixture models. - Hagai Attias; Li Deng 001 (INTERSPEECH, 2002)

Source Separation with a Sensor Array Using Graphical Models and Subband Filtering. - Hagai Attias (NIPS, 2002)

Planning by Probabilistic Inference. - Hagai Attias (AISTATS, 2003)

New EM algorithms for source separation and deconvolution with a microphone array. - Hagai Attias (ICASSP (5), 2003)

Variational inference and learning for segmental switching state space models of hidden speech dynamics. - Leo J. Lee; Hagai Attias; Li Deng 001 (ICASSP (1), 2003)

A Graphical Model for Audiovisual Object Tracking. - Matthew J. Beal; Nebojsa Jojic; Hagai Attias (IEEE Trans. Pattern Anal. Mach. Intell., 2003)

Stereo Based 3D Tracking and Scene Learning, Employing Particle Filtering within EM. - Trausti T. Kristjansson; Hagai Attias; John R. Hershey (ECCV (4), 2004)

A structured speech model with continuous hidden dynamics and prediction-residual training for tracking vocal tract resonances. - Li Deng 001; Leo J. Lee; Hagai Attias; Alex Acero (ICASSP (1), 2004)

Audio-visual graphical models for speech processing. - John R. Hershey; Hagai Attias; Nebojsa Jojic; Trausti T. Kristjansson (ICASSP (5), 2004)

Single microphone source separation using high resolution signal reconstruction. - Trausti T. Kristjansson; Hagai Attias; John R. Hershey (ICASSP (2), 2004)

A multimodal variational approach to learning and inference in switching state space models [speech processing application]. - Leo J. Lee; Hagai Attias; Li Deng 001; Paul W. Fieguth (ICASSP (5), 2004)

Robust time delay estimation in noisy reverberant environments with a probabilistic graphical model. - Taesu Kim; Hagai Attias; Soo-Young Lee; Te-Won Lee (ICASSP (5), 2005)

Stimulus Evoked Independent Factor Analysis of MEG Data with Large Background Activity. - Srikantan S. Nagarajan; Hagai Attias; Kenneth E. Hild II; Kensuke Sekihara (NIPS, 2005)

An EM Method for Spatio-temporal Blind Source Separation Using an AR-MOG Source Model. - Kenneth E. Hild II; Hagai Attias; Srikantan S. Nagarajan (ICA, 2006)

Partitioned Factor Analysis for Interference Suppression and Source Extraction. - Srikantan S. Nagarajan; Hagai Attias; Kensuke Sekihara; Kenneth E. Hild II (ICA, 2006)

Frequency Domain Blind Source Separation Exploiting Higher-Order Dependencies. - Taesu Kim; Hagai Attias; Soo-Young Lee; Te-Won Lee (ICASSP (5), 2006)

A probabilistic graphical model for microphone array source separation using rich pre-trained source models. - Hagai Thomas Attias (INTERSPEECH, 2006)

Two probabilistic algorithms for MEG/EEG source reconstruction. - Johanna M. Zumer; Hagai Attias; Kensuke Sekihara; Srikantan S. Nagarajan (ISBI, 2006)

A graphical model for estimating stimulus-evoked brain responses from magnetoencephalography data with large background brain activity. - Srikantan S. Nagarajan; Hagai Thomas Attias; Kenneth E. Hild II; Kensuke Sekihara (NeuroImage, 2006)

Probabilistic Graphical Model for Auto-Annotation, Content-Based Retrieval, and Classification of TV Clips Containing Audio, Video, and Text. - Duangmanee Putthividhya; Hagai Attias; Srikantan S. Nagarajan; Te-Won Lee (ICASSP (2), 2007)

A probabilistic algorithm integrating source localization and noise suppression for MEG and EEG data. - Johanna M. Zumer; Hagai Thomas Attias; Kensuke Sekihara; Srikantan S. Nagarajan (NeuroImage, 2007)

Fetal cardiac signal extraction from magnetocardiographic data using a probabilistic algorithm. - Kenneth E. Hild II; Hagai Thomas Attias; Silvia Comani; Srikantan S. Nagarajan (Signal Process., 2007)

Adaptive Kalman Filtering and Smoothing for Tracking Vocal Tract Resonances Using a Continuous-Valued Hidden Dynamic Model. - Li Deng 001; Leo J. Lee; Hagai Attias; Alex Acero (IEEE Trans. Speech Audio Process., 2007)

Blind Source Separation Exploiting Higher-Order Frequency Dependencies. - Taesu Kim; Hagai Thomas Attias; Soo-Young Lee; Te-Won Lee (IEEE Trans. Speech Audio Process., 2007)

Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG. - David P. Wipf; Julia P. Owen; Hagai Attias; Kensuke Sekihara; Srikantan S. Nagarajan (NIPS, 2008)

Probabilistic algorithms for MEG/EEG source reconstruction using temporal basis functions learned from data. - Johanna M. Zumer; Hagai Thomas Attias; Kensuke Sekihara; Srikantan S. Nagarajan (NeuroImage, 2008)

An Expectation-Maximization Method for Spatio-Temporal Blind Source Separation Using an AR-MOG Source Model. - Kenneth E. Hild II; Hagai Thomas Attias; Srikantan S. Nagarajan (IEEE Trans. Neural Networks, 2008)

Independent factor topic models. - Duangmanee Putthividhya; Hagai Thomas Attias; Srikantan S. Nagarajan (ICML, 2009)

Robust Methods for Reconstructing Brain Activity and Functional Connectivity Between Brain Sources with MEG/EEG Data. - Julia P. Owen; David P. Wipf; Hagai Attias; Kensuke Sekihara; Srikantan S. Nagarajan (ISBI, 2009)

Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation. - Jiucang Hao; Hagai Attias; Srikantan S. Nagarajan; Te-Won Lee; Terrence J. Sejnowski (IEEE Trans. Speech Audio Process., 2009)

A Spatiotemporal Framework for Estimating Trial-to-Trial Amplitude Variation in Event-Related MEG/EEG. - Tulaya Limpiti; Barry D. Van Veen; Hagai Attias; Srikantan S. Nagarajan (IEEE Trans. Biomed. Eng., 2009)

Topic regression multi-modal Latent Dirichlet Allocation for image annotation. - Duangmanee Putthividhya; Hagai Thomas Attias; Srikantan S. Nagarajan (CVPR, 2010)

Supervised topic model for automatic image annotation. - Duangmanee Putthividhya; Hagai Thomas Attias; Srikantan S. Nagarajan (ICASSP, 2010)

Sparse Spatio-temporal Inference of Electromagnetic Brain Sources. - Carsten Stahlhut; Hagai Attias; David P. Wipf; Lars Kai Hansen; Srikantan S. Nagarajan (MLMI, 2010)

Robust Bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEG. - David P. Wipf; Julia P. Owen; Hagai Thomas Attias; Kensuke Sekihara; Srikantan S. Nagarajan (NeuroImage, 2010)

An evaluation of EEG scanner's dependence on the imaging technique, forward model computation method, and array dimensionality. - Carsten Stahlhut; Hagai Thomas Attias; Arkadiusz Stopczynski; Michael Kai Petersen; Jakob Eg Larsen; Lars Kai Hansen (EMBC, 2012)

Effectiveness of sparse Bayesian algorithm for MVAR coefficient estimation in MEG/EEG source-space causality analysis - Kensuke Sekihara; Hagai Attias; Julia P. Owen; Srikantan S. Nagarajan (CoRR, 2012)

Performance evaluation of the Champagne source reconstruction algorithm on simulated and real M/EEG data. - Julia P. Owen; David P. Wipf; Hagai Thomas Attias; Kensuke Sekihara; Srikantan S. Nagarajan (NeuroImage, 2012)

M/EEG imaging by learning mean norms in brain tiles. - Hagai Thomas Attias (ISBI, 2013)

A hierarchical Bayesian M/EEG imagingmethod correcting for incomplete spatio-temporal priors. - Carsten Stahlhut; Hagai Thomas Attias; Kensuke Sekihara; David P. Wipf; Lars Kai Hansen; Srikantan S. Nagarajan (ISBI, 2013)