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ORCIDHagai Attias
Person information
- affiliation: Golden Metallic Inc., San Francisco
- affiliation: Microsoft Research
- affiliation: University College London, Gatsby Computational Neuroscience Unit
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2010 – 2019
- 2013
[c42]Hagai Thomas Attias:
M/EEG imaging by learning mean norms in brain tiles. ISBI 2013: 548-551- [c41]Carsten Stahlhut, Hagai Thomas Attias, Kensuke Sekihara, David P. Wipf
, Lars Kai Hansen, Srikantan S. Nagarajan:
A hierarchical Bayesian M/EEG imagingmethod correcting for incomplete spatio-temporal priors. ISBI 2013: 560-563 - [i2]Hagai Attias:
Inferring Parameters and Structure of Latent Variable Models by Variational Bayes. CoRR abs/1301.6676 (2013) - 2012
- [j14]Julia P. Owen, David P. Wipf, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
Performance evaluation of the Champagne source reconstruction algorithm on simulated and real M/EEG data. NeuroImage 60(1): 305-323 (2012) - [c40]Carsten Stahlhut, Hagai Thomas Attias, Arkadiusz Stopczynski, Michael Kai Petersen, Jakob Eg Larsen, Lars Kai Hansen:
An evaluation of EEG scanner's dependence on the imaging technique, forward model computation method, and array dimensionality. EMBC 2012: 1538-1541 - [i1]Kensuke Sekihara, Hagai Attias, Julia P. Owen, Srikantan S. Nagarajan:
Effectiveness of sparse Bayesian algorithm for MVAR coefficient estimation in MEG/EEG source-space causality analysis. CoRR abs/1211.3211 (2012) - 2010
- [j13]David P. Wipf, Julia P. Owen, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
Robust Bayesian estimation of the location, orientation, and time course of multiple correlated neural sources using MEG. NeuroImage 49(1): 641-655 (2010) - [c39]Duangmanee Putthividhya, Hagai Thomas Attias, Srikantan S. Nagarajan:
Topic regression multi-modal Latent Dirichlet Allocation for image annotation. CVPR 2010: 3408-3415 - [c38]Duangmanee Putthividhya, Hagai Thomas Attias, Srikantan S. Nagarajan:
Supervised topic model for automatic image annotation. ICASSP 2010: 1894-1897 - [c37]Carsten Stahlhut, Hagai Attias, David P. Wipf, Lars Kai Hansen, Srikantan S. Nagarajan:
Sparse Spatio-temporal Inference of Electromagnetic Brain Sources. MLMI 2010: 157-164
2000 – 2009
- 2009
- [j12]Jiucang Hao, Hagai Attias, Srikantan S. Nagarajan, Te-Won Lee, Terrence J. Sejnowski:
Speech Enhancement, Gain, and Noise Spectrum Adaptation Using Approximate Bayesian Estimation. IEEE Trans. Speech Audio Process. 17(1): 24-37 (2009) - [j11]Tulaya Limpiti, Barry D. Van Veen, Hagai Attias, Srikantan S. Nagarajan:
A Spatiotemporal Framework for Estimating Trial-to-Trial Amplitude Variation in Event-Related MEG/EEG. IEEE Trans. Biomed. Eng. 56(3): 633-645 (2009) - [c36]Duangmanee Putthividhya, Hagai Thomas Attias, Srikantan S. Nagarajan:
Independent factor topic models. ICML 2009: 833-840 - [c35]Julia P. Owen, David P. Wipf, Hagai Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
Robust Methods for Reconstructing Brain Activity and Functional Connectivity Between Brain Sources with MEG/EEG Data. ISBI 2009: 1271-1274 - 2008
- [j10]Johanna M. Zumer, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
Probabilistic algorithms for MEG/EEG source reconstruction using temporal basis functions learned from data. NeuroImage 41(3): 924-940 (2008) - [j9]Kenneth E. Hild II, Hagai Thomas Attias, Srikantan S. Nagarajan:
An Expectation-Maximization Method for Spatio-Temporal Blind Source Separation Using an AR-MOG Source Model. IEEE Trans. Neural Networks 19(3): 508-519 (2008) - [c34]David P. Wipf, Julia P. Owen, Hagai Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
Estimating the Location and Orientation of Complex, Correlated Neural Activity using MEG. NIPS 2008: 1777-1784 - 2007
- [j8]Johanna M. Zumer, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
A probabilistic algorithm integrating source localization and noise suppression for MEG and EEG data. NeuroImage 37(1): 102-115 (2007) - [j7]Kenneth E. Hild II, Hagai Thomas Attias, Silvia Comani, Srikantan S. Nagarajan:
Fetal cardiac signal extraction from magnetocardiographic data using a probabilistic algorithm. Signal Process. 87(8): 1993-2004 (2007) - [j6]Li Deng, Leo J. Lee, Hagai Attias, Alex Acero:
Adaptive Kalman Filtering and Smoothing for Tracking Vocal Tract Resonances Using a Continuous-Valued Hidden Dynamic Model. IEEE Trans. Speech Audio Process. 15(1): 13-23 (2007) - [j5]Taesu Kim, Hagai Thomas Attias, Soo-Young Lee, Te-Won Lee:
Blind Source Separation Exploiting Higher-Order Frequency Dependencies. IEEE Trans. Speech Audio Process. 15(1): 70-79 (2007) - [c33]Duangmanee Putthividhya, Hagai Attias, Srikantan S. Nagarajan, Te-Won Lee:
Probabilistic Graphical Model for Auto-Annotation, Content-Based Retrieval, and Classification of TV Clips Containing Audio, Video, and Text. ICASSP (2) 2007: 789-792 - 2006
- [j4]Srikantan S. Nagarajan, Hagai Thomas Attias, Kenneth E. Hild II, Kensuke Sekihara:
A graphical model for estimating stimulus-evoked brain responses from magnetoencephalography data with large background brain activity. NeuroImage 30(2): 400-416 (2006) - [c32]Kenneth E. Hild II, Hagai Attias, Srikantan S. Nagarajan:
An EM Method for Spatio-temporal Blind Source Separation Using an AR-MOG Source Model. ICA 2006: 98-105 - [c31]Srikantan S. Nagarajan, Hagai Attias, Kensuke Sekihara, Kenneth E. Hild II:
Partitioned Factor Analysis for Interference Suppression and Source Extraction. ICA 2006: 189-197 - [c30]Taesu Kim, Hagai Attias, Soo-Young Lee, Te-Won Lee:
Frequency Domain Blind Source Separation Exploiting Higher-Order Dependencies. ICASSP (5) 2006: 677-680 - [c29]Hagai Thomas Attias:
A probabilistic graphical model for microphone array source separation using rich pre-trained source models. INTERSPEECH 2006 - [c28]Johanna M. Zumer, Hagai Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
Two probabilistic algorithms for MEG/EEG source reconstruction. ISBI 2006: 940-943 - [c27]Johanna M. Zumer, Hagai Thomas Attias, Kensuke Sekihara, Srikantan S. Nagarajan:
A Probabilistic Algorithm Integrating Source Localization and Noise Suppression of MEG and EEG data. NIPS 2006: 1625-1632 - 2005
- [c26]Taesu Kim, Hagai Attias, Soo-Young Lee, Te-Won Lee:
Robust time delay estimation in noisy reverberant environments with a probabilistic graphical model. ICASSP (5) 2005: 525-528 - [c25]Srikantan S. Nagarajan, Hagai Attias, Kenneth E. Hild II, Kensuke Sekihara:
Stimulus Evoked Independent Factor Analysis of MEG Data with Large Background Activity. NIPS 2005: 963-970 - 2004
- [c24]Trausti T. Kristjansson, Hagai Attias, John R. Hershey:
Stereo Based 3D Tracking and Scene Learning, Employing Particle Filtering within EM. ECCV (4) 2004: 546-559 - [c23]Leo J. Lee, Hagai Attias, Li Deng, Paul W. Fieguth:
A multimodal variational approach to learning and inference in switching state space models [speech processing application]. ICASSP (5) 2004: 505-508 - [c22]Li Deng, Leo J. Lee, Hagai Attias, Alex Acero:
A structured speech model with continuous hidden dynamics and prediction-residual training for tracking vocal tract resonances. ICASSP (1) 2004: 557-560 - [c21]John R. Hershey, Hagai Attias, Nebojsa Jojic, Trausti T. Kristjansson:
Audio-visual graphical models for speech processing. ICASSP (5) 2004: 649-652 - [c20]Trausti T. Kristjansson, Hagai Attias, John R. Hershey:
Single microphone source separation using high resolution signal reconstruction. ICASSP (2) 2004: 817-820 - 2003
- [j3]Matthew J. Beal, Nebojsa Jojic, Hagai Attias:
A Graphical Model for Audiovisual Object Tracking. IEEE Trans. Pattern Anal. Mach. Intell. 25(7): 828-836 (2003) - [c19]Hagai Attias:
Planning by Probabilistic Inference. AISTATS 2003: 9-16 - [c18]Hagai Attias:
New EM algorithms for source separation and deconvolution with a microphone array. ICASSP (5) 2003: 297-300 - [c17]Leo J. Lee, Hagai Attias, Li Deng:
Variational inference and learning for segmental switching state space models of hidden speech dynamics. ICASSP (1) 2003: 872-875 - 2002
- [c16]Darko Kirovski, Hagai Attias:
Beat-ID: identifying music via beat analysis. IEEE Workshop on Multimedia Signal Processing 2002: 190-193 - [c15]Matthew J. Beal, Hagai Attias, Nebojsa Jojic:
Audio-Video Sensor Fusion with Probabilistic Graphical Models. ECCV (1) 2002: 736-752 - [c14]Matthew J. Beal, Nebojsa Jojic, Hagai Attias:
A self-calibrating algorithm for speaker tracking based on audio-visual statistical models. ICASSP 2002: 1997-2000 - [c13]Darko Kirovski, Hagai Attias:
Audio Watermark Robustness to Desynchronization via Beat Detection. Information Hiding 2002: 160-176 - [c12]Hagai Attias, Li Deng:
A new approach to speech enhancement by a microphone array using EM and mixture models. INTERSPEECH 2002: 785-788 - [c11]Hagai Attias:
Source Separation with a Sensor Array Using Graphical Models and Subband Filtering. NIPS 2002: 1205-1212 - 2001
- [c10]Hagai Attias:
Learning in high dimensions: modular mixture models. AISTATS 2001: 8-12 - [c9]Hagai Attias, Li Deng, Alex Acero, John C. Platt:
A new method for speech denoising and robust speech recognition using probabilistic models for clean speech and for noise. INTERSPEECH 2001: 1903-1906 - 2000
- [c8]Hagai Attias, John C. Platt, Alex Acero, Li Deng:
Speech Denoising and Dereverberation Using Probabilistic Models. NIPS 2000: 758-764
1990 – 1999
- 1999
- [j2]Hagai Attias:
Independent Factor Analysis. Neural Comput. 11(4): 803-851 (1999) - [c7]Hagai Attias:
Hierarchical IFA Belief Networks. AISTATS 1999 - [c6]Hagai Attias:
A Variational Baysian Framework for Graphical Models. NIPS 1999: 209-215 - [c5]Hagai Attias:
Independent Factor Analysis with Temporally Structured Sources. NIPS 1999: 386-392 - [c4]Hagai Attias:
Inferring Parameters and Structure of Latent Variable Models by Variational Bayes. UAI 1999: 21-30 - 1998
- [j1]Hagai Attias, Christoph E. Schreiner:
Blind Source Separation and Deconvolution: the Dynamic Component Analysis Algorithm. Neural Comput. 10(6): 1373-1424 (1998) - [c3]Hagai Attias:
Learning a Hierarchical Belief Network of Independent Factor Analyzers. NIPS 1998: 361-367 - 1997
- [c2]Hagai Attias, Christoph E. Schreiner:
Coding of Naturalistic Stimuli by Auditory Midbrain Neurons. NIPS 1997: 103-109 - 1996
- [c1]Hagai Attias, Christoph E. Schreiner:
Temporal Low-Order Statistics of Natural Sounds. NIPS 1996: 27-33
Coauthor Index
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