Conference Publications

• S Nagarajan, H Attias, KE Hild, K Sekihara. Stimulus evoked independent factor analysis of MEG data with large background activity. Advances in Neural Information Processing Systems 19, 2006.
• KE Hild, H Attias, S Nagarajan, K Sekihara. A graphical model for estimating stimulus evoked brain responses in noisy MEG data with large background brain activity. Proceeding of 5th International Congress on Bioelectromagnetism, 2005.
• T Kim, H Attias, TW Lee. Robust time delay estimation in noisy reverberant environments with a probabilistic graphical model. Proceedings of the 2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005.
• T Kristjansson, H Attias, JR Hershey. Stereo based 3D tracking and learning using EM and particle filtering. Proceedings of the 18th European Conference on Computer Vision, 2004.
• JR Hershey, T Kristjansson, H Attias. Single microphone source separation using high resolution signal reconstruction. Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004.
• JR Hershey, H Attias, T Kristjansson, N Jojic. Audio-visual graphical models for speech processing. Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004.
• LJ Lee, H Attias, L Deng. A multimodal variational approach to learning and inference in switching state space models. Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004.
• LJ Lee, H Attias, L Deng, A Acero. A structured speech model with continuous hidden dynamics and prediction-residual training for tracking vocal tract resonances. Proceedings of the 2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004.
• H Attias. Planning by probabilistic inference. Proceedings of the 9th International Conference on Artificial Intelligence and Statistics, 2003.
• LJ Lee, H Attias, L Deng. Variational inference and learning for segmental switching state space models of hidden speech dynamics. Proceedings of the IEEE 2003 International Conference on Acoustics, Speech, and Signal Processing, 2003.
• H Attias. New EM algorithms for source separation and deconvolution. Proceedings of the IEEE 2003 International Conference on Acoustics, Speech, and Signal Processing, 2003.
• H Attias. Source separation with a sensor array using graphical models and subband filtering. Advances in Neural Information Processing Systems 15, 2002.
• D Kirovski, H Attias. Beat-ID: Identifying music via beat analysis. Proceedings of the 5th IEEE International Workshop on Multimedia Signal Processing, 2002.
• D Kirovski, H Attias. Audio watermark robustness to desynchronization via beat detection. Proceedings of the 5th International Workshop on Information Hiding (Lecture Notes in Computer Science 2578), 160-176, 2002.
• H Attias, L Deng. A new approach to speech enhancement with a microphone array using EM and mixture models. Proceedings of the 7th International Conference on Spoken Language Processing, 2002.
• MJ Beal, H Attias, N Jojic. Audio-video sensor fusion with probabilistic graphical models. Proceedings of the 7th European Conference on Computer Vision (Lecture Notes in Computer Science 2350), 736-752, 2002.
• MJ Beal, N Jojic, H Attias. A self-calibrating algorithm for speaker tracking based on audio-visual statistical models. Proceedings of the 2002 IEEE International Conference on Acoustics, Speech,and Signal Processing, 2002.

• H Attias, L Deng, A Acero, JC Platt. A new method for speech denoising and robust speech recognition using probabilistic models for clean speech and for noise. Proceedings of the 7th European Conference on Speech Communication and Technology, 2001.
• H Attias. Learning in high dimensions: modular mixture models. Proceedings of the 8th International Conference on Artificial Intelligence and Statistics, 144-148, 2001.
• H Attias, JC Platt, A Acero, L Deng. Speech denoising and dereverberation using probabilistic models. Advances in Neural Information Processing Systems 13, 758-764, 2001.
• H Attias. A variational Bayesian framework for graphical models. Advances in Neural Information Processing Systems 12, 209-215, 2000.
• H Attias. Independent factor analysis with temporally structured factors. Advances in Neural Information Processing Systems 12, 386-392, 2000.
• H Attias. Inferring parameters and structure of latent variable models by variational Bayes. Proceedings of the 15th Conference on Uncertainty in Artificial Intelligence, 21-30, 1999.
• H Attias. Blind source separation by dynamic graphical models. Proceedings of the 9th International Conference on Artificial Neural Networks, 126-131, 1999.
• H Attias. Hierarchical IFA belief networks. Proceedings of the 7th International Workshop on Artificial Intelligence and Statistics, 3-11, 1999.
• H Attias. Learning a hierarchical belief network of independent factor analyzers. Advances in Neural Information Processing Systems 11, 361-367, 1999.
• H Attias. EM algorithms for independent component analysis. Neural Networks for Signal Processing VIII: Proceedings of the 1998 IEEE Workshop, 132-141, 1998.
• H Attias, CE Schreiner. Blind source separation and deconvolution by dynamic component analysis. Neural Networks for Signal Processing VII: Proceedings of the 1997 IEEE Workshop, 456-465, 1997.
• H Attias, CE Schreiner. Coding of naturalistic stimuli by auditory midbrain neurons. Advances in Neural Information Processing Systems 10, 103-109, 1998.
• H Attias, CE Schreiner. Low-order temporal statistics of natural sounds. Advances in Neural Information Processing Systems 9, 27-33, 1997.
• D Kusnezov, H Attias, D Mitchell. Collective motion in complex systems: chaos, disorder and random matrices. Proceedings of the 8th International Symposium on Capture Gamma-Ray Spectroscopy, 505-516, 1994.