Publications

[Journal Publication | Conference Papers ]

 

Journal Papers

  1. J. Dauwels, A. Eckford, S. Korl, and H.-A. Loeliger, Expectation maximization as message passing - Part I: principles and Gaussian messages, submitted to IEEE Transactions on Information Theory.

  2. B. Kurkoski and J. Dauwels, Iterative decoding of lattice codes using Gaussian mixtures, EEE Communications Letters, vol. 14, no. 5, May 2010

  3. J. Dauwels, and H.-A. Loeliger, Computing information rates of continuous channels with memory by particle methods, IEEE Transactions on Information Theory, vol. 54, no. 1, pp. 406–409, Jan. 2008 [ PDF ]

  4. H.-A. Loeliger, J. Dauwels, J. Hu, Li Ping, S. Korl, and F. Kschischang, The factor graph approach to model-based signal processing, Proc. of the IEEE, vol. 95, no. 6, pp. 1295–1322, June 2007 (invited paper). [ PDF ]

  5. B. Vigoda,  J. Dauwels,  M. Frey,  N. Gershenfeld,  T. Koch,  H.-A. Loeliger,  and P. Merkli, Synchronization of pseudo-random signals by forward-only message passing with application to electronic circuits, IEEE Trans. Inform. Theory, vol. 52, no. 8, pp. 3843–3852, August 2006. [ PDF ] 

  6. J. Dauwels, Y. Tsukada, et al. On the synchrony of morphological and molecular signaling events in cell migration, in preparation for BMC BioInformatics.

  7. J. Dauwels, S.S. Cash et al. Automated localization of the seizure focus from interictal intracranial EEG, in preparation for NeuroImage.

  8. J. Dauwels, T. Weber, F. Vialatte, and A. Cichocki, Quantifying Statistical Interdependence by Message Passing on Graphs PART III: N > 2 Point Processes, in preparation for Neural Computation.

  9. F. Vialatte, J. Dauwels, M. Maurice, and A. Cichocki, Improving the specificity of EEG for diagnosing Alzheimer's disease, submitted to International Journal of Alzheimer's Disease, (invited paper).

  10. J. Dauwels, F. Vialatte, and A. Cichocki, Diagnosis of Alzheimer’s Disease from EEG Signals: Where Are We Standing?, Current Alzheimer's Research, (invited paper). [ PDF ]

  11. F. Vialatte, M. Maurice, J. Dauwels, and A. Cichocki, SSVEP useful paradigms in neuroscience, and potential applications in BCI: open questions and challenges, Progress in Neurobiology, 2010, 90:418-438. (invited paper).link

  12. F. Vialatte, J. Dauwels, M. Maurice, and A. Cichocki, Steady-state visually evoked potentials: time-frequency analysis and oscillatory event synchrony, Cognitive Neurodynamics, 2009, 3(3):251-261. link (open access)

  13. F. Vialatte, J. Sole-Casals, J. Dauwels, M. Maurice, and A. Cichocki, Bump Time-Frequency Toolbox: a Toolbox for Time-Frequency Oscillatory Bursts Extraction in Electrophysiological Signals, BMC Neuroscience, 2009, 10:46. link 

  14. J. Dauwels, F. Vialatte, T.Weber, and A. Cichocki, Quantifying Statistical Interdependence by Message Passing on Graphs PART I: One-Dimensional Point Processes, Neural Computation, 2009, 21(8):2152-2202 [ PDF ]

  15. J. Dauwels, F. Vialatte, T.Weber, T.Musha and A. Cichocki, Quantifying Statistical Interdependence by Message Passing on Graphs PART II: Multi-Dimensional Point Processes, Neural Computation, 2009, 21(8):2203-2268. [ PDF ] 

  16. J. Dauwels, F. Vialatte, M. Vialatte, and A. Cichocki, A Comparative Study of Synchrony Measures for the Early Diagnosis of Alzheimer’s Disease Based on EEG, NeuroImage, 2010, 49:668-693. [ PDF ] 

  17. F. Vialatte, J. Dauwels, T. Rutkowski, and A. Cichocki, Oscillatory Event Synchrony during Steady State Visually Evoked Potentials, Advances in Cognitive Neurodynamics, Springer, October 2008 (invited paper).

  18. J. Dauwels, F. Vialatte, T. Rutkowski, and A. Cichocki, Measuring Neural Synchrony by Message Passing, In Advances in Neural Information Processing Systems 20, Edited by Platt J, Koller D, Singer Y, Roweis S, Cambridge, MA: MIT Press 2008:361-368. [ PDF ] 

Conference Papers

  1. B. Kurkoski, J. Dauwels, and H.A. Loeliger, Power-Constrained Communications Using LDLC Lattices, Proc. IEEE Int. Symp. on Information Theory (ISIT 2009) [ PDF ]

  2. B. Kurkoski and J. Dauwels, Gaussian mixture reduction by L2-norm minimization, with applications to lattice decoding, Proc. IEEE Int. Symp. on Information Theory (ISIT 2008). [ PDF ] 

  3. J. Dauwels, An algorithm to improve and validate Cramer-Rao Bounds through the fibre bundle theory of local exponential families, Proc. IEEE Int. Conf. on Acoustics and Signal Processing (ICASSP), 2007. [ PDF ] 

  4. J. Dauwels, Improving and validating Cramer-Rao bounds through higher-order asymptotic estimationtheory: a case study, Proc. 2006 IEEE Int. Symp. on Information Theory and its Applications (ISITA), Seoul, South-Korea, Oct. 29–Nov. 1, 2006.

  5. J. Hu, H.-A. Loeliger, J. Dauwels, and F. Kschischang, A general computation rule for lossy summaries messages with examples from equalization, Proc. 44th Allerton Conf. on Communication, Control, and Computing, Monticello, Illinois, Sept. 27–29, 2006, (invited paper). [ PDF ] 

  6. J. Dauwels, On convergence and stability properties of decision-based inference algorithms on general graphs, Proc. IEEE Int. Symp. Information Theory (ISIT), 2007 [ PDF ] 

  7. J. Dauwels, Variational message passing on factor graphs, Proc. IEEE Int. Symp. Information Theory (ISIT), 2007. [ PDF ] 

  8. J. Dauwels, Sascha Korl, and H.-A. Loeliger, Particle methods as message passing, Proceedings of 2006 IEEE Int. Symp. Information Theory [ PDF ] 

  9. J. Dauwels and Sascha Korl, A numerical method to compute Cramér-Rao-type bounds for challenging estimation problems, International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006). (Student Paper Contest Winner) [ PDF ] 

  10. T. Ott, J. Dauwels, and R. Stoop, Sequential clustering by loopy belief propagation, Proceedings of the European Conference on Circuit Theory and Design, 2005.

  11. J. Dauwels, Numerical computation of the capacity of continuous memoryless channels, Proceedings of the 26th Symposium on Information Theory in the BENELUX, Brussels, Belgium, May 19 -20, 2005, pp. 221-228. [ PDF ]

  12. J. Dauwels, S. Korl, and H.-A. Loeliger, Expectation maximization for phase estimation, Proceedings of the Eighth International Symposium on Communication Theory and Applications, 2005. [ PDF ] 

  13. J. Dauwels, S. Korl, and H.-A. Loeliger, Steepest descent on factor graphs, Proceedings of the IEEE ITSOC Information Theory Workshop 2005 on Coding and Complexity. [ PDF ]

  14. J. Dauwels, S. Korl, and H.-A. Loeliger, Expectation maximization as message passing, Proceedings of IEEE Int. Symp. Information Theory, 2005. [ PDF ]

  15. J. Dauwels, Computing Bayesian Cramér-Rao bounds, Proceedings of the IEEE Int. Symp. Information Theory, 2005. [ PDF ]

  16. J. Dauwels, H.-A. Loeliger, P. Merkli, and M. Ostojic, On Markov structured summary propagation and LFSR synchronization, Proc. 42nd Allerton Conf. on Communication, Control, and Computing, (Allerton House, Monticello, Illinois), Sept. 29 - Oct. 1, 2004. (invited paper) [ PDF ]

  17. J. Dauwels, H. Wymeersch, H.-A. Loeliger and M. Moeneclaey, Phase Estimation and Phase Ambiguity Resolution by Message Passing, Proc. 11th International Conference on Telecommunications and Networking, pp. 150–155, Fortaleza, Brazil, August 1–6, 2004.

  18. J. Dauwels and H.-A. Loeliger, Computation of Information Rates by Particle Methods, Proc. 2004 IEEE International Symposium on Information Theory, p. 178, Chicago, USA, June 27–July 2, 2004. [ PDF ]

  19. J. Dauwels and H.-A. Loeliger, Phase Estimation by Message Passing, Proc. 2004 IEEE Int. Conf. on Communications, pp. 523–527, Paris, June 20–24, 2004. [ PDF ]

  20. H.-A. Loeliger, J. Dauwels, V. M. Koch, S. Korl, Signal processing with factor graphs: examples, First International Symposium on Control, Communications and Signal Processing (ISCCSP 2004), Hammamet, Tunisia, March 21–24, 2004. (invited paper) [ PDF ]

  21. J. Dauwels, H.-A. Loeliger, P. Merkli, and M. Ostojic, On Structured-Summary Propagation, LFSR Synchronization, and Low-Complexity Trellis Decoding, Proc. 41st Allerton Conf. on Communication, Control, and Computing, (Allerton House, Monticello, Illinois), Oct. 1–3, 2003. (invited paper) [ PDF ]

  22. J. Dauwels and H.-A. Loeliger, Joint Decoding and Phase Estimation: an Exercise in Factor Graphs, Proc. 2003 IEEE Int. Symp. Information Theory, p. 231, Yokohama, Japan, June 29 – July 4 , 2003. [ PDF ]

  23. J. Dauwels, Signal Processing for Telemedicine: Key Challenges, Proc. 1st International Conference on Bioengineering (ICOB), NTU, Singapore, Jan 19, 2011

  24. J. Dauwels and F.Vialatte, Topics in Brain Signal Processing, Proc. APSIPA Annual Summit and Conference 2010 (APSIPA 2010), December 14-17, Biopolis, Singapore [ PDF ]

  25. J. Dauwels, Signal Processing for Telemedicine: Key Challenges, Proc. Third NTU-TTSH Workshop, August 31, Singapore.

  26. S. G. Iyengar, J. Dauwels, P. K. Varshney, and A. Cichocki, Computing brain synchrony by applying copula theory, Proc. IEEE Int. Conf. on Acoustics and Signal Processing (ICASSP 2010), in press. [ PDF ]

  27. S. G. Iyengar, J. Dauwels, P. K. Varshney, and A. Cichocki, Quantifying neural synchrony using copulas, Proc. NIPS 2009 Workshop on Connectivity Inference in Neuroimaging, 2009, in press.

  28. J. Dauwels, S.S. Cash et al. Automated localization of the seizure focus from interictal intracranial EEG, Proc.14th International Conference on Cognitive and Neural Systems, Boston, May 19-22, 2010.

  29. J. Dauwels, F.Vialatte, and A. Cichocki, On the Early Diagnosis of Alzheimer's Disease from EEG Signals: A Mini-Review, Proc. 2nd International Conference on Cognitive Neurodynamics (ICCN09) [ PDF ]

  30. F. Vialatte, J. Sole-Casals, A. Hazart, D. Prvulovic, J. Dauwels, J. Pantel, and C. Haenschel, Modeling transient oscillations in the EEG of patients with mild cognitive impairment, Proc. 2nd International Conference on Cognitive Neurodynamics (ICCN09).

  31. J. Dauwels, F. Vialatte, C. Latchoumane, J. Jeong, and A. Cichocki, Loss of EEG Synchrony in Early-Stage AD patients: a Study with Multiple Synchrony Measures and Multiple EEG Data Sets, Proc. 31th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC09), in press (invited paper). [ PDF ] 

  32. J. Dauwels, S. Cash, and E. Eskandar, Localization of Seizure Onset Area from Intracranial Non-Seizure EEG by Exploiting Locally Enhanced Synchrony, Proc. 31th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC09), in press. [ PDF ] 

  33. J. Dauwels, T. Weber, F. Vialatte, and A. Cichocki, Analyzing brain signals by combinatorial optimization, Forty-Sixth Annual Allerton Conference on Communication, Control, and Computing, September 23–26, 2008, Allerton Retreat Center, Monticello, Illinois (invited paper).

  34. J. Dauwels, F. Vialatte, T. Weber, and A. Cichocki, On similarity measures for spike trains, International Conference on Neural Information Processing, November 25–28, 2008, Auckland, New Zealand 2008. [ PDF ] 

  35. J. Dauwels, F. Vialatte, T. Weber, and A. Cichocki, An Exemplar-Based Statistical Model for the Dynamics of Neural Synchrony, International Conference on Neural Information Processing, November 25–28, 2008, Auckland, New Zealand 2008. [ PDF ] 

  36. J. Dauwels, Y. Tsukada, Y. Sakumura, S. Ishii, F. Vialatte, and A. Cichocki, On the synchrony of morphological and molecular signaling events in cell migration, International Conference on Neural Information Processing, November 25–28, 2008, Auckland, New Zealand 2008. [ PDF ] 

  37. F. Vialatte, J. Dauwels, J. Sole-Casals, M. Maurice and A. Cichocki, Improved Sparse Bump Modeling for Electrophysiological Data, International Conference on Neural Information Processing, November 25–28, 2008, Auckland, New Zealand 2008.

  38. F. Vialatte, M. Maurice, J. Dauwels, and A. Cichocki, Steady State Visual Evoked Potentials in the Delta Range (0.5-5 Hz), International Conference on Neural Information Processing, November 25–28, 2008, Auckland, New Zealand 2008.

  39. J. Dauwels, T. Weber, F. Vialatte, and A. Cichocki, Stochastic Synchrony, Application to Neural Signals and Early Prediction of Alzheimer’s Disease, Proceedings of the 3rd INFORMS Workshop on Data Mining and Health Informatics (DM-HI 2008), J. Li, D. Aleman, R. Sikora, eds.

  40. J. Dauwels, T. Weber, F. Vialatte, and A. Cichocki, Quantifying the Similarity of Multiple Multi-Dimensional Point Processes by Integer Programming with Application to Early Diagnosis of Alzheimer’s Disease from EEG, Proc. 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC08). [ PDF ]

  41. J. Dauwels, T. Rutkowski, F. Vialatte, and A. Cichocki, On the Synchrony of Empirical Mode Decompositions with Application to EEG, Proc. IEEE Int. Conf. on Acoustics and Signal Processing (ICASSP), 2008. [ PDF ]

  42. J. Dauwels, F. Vialatte, T. Rutkowski, and A. Cichocki, Machine Learning Methods for Exploring EEG Dynamics, NIPS Workshop on Large-Scale Brain Dynamics, 2007.

  43. T. Rutkowski, J. Dauwels, F. Vialatte, D. Mandic and A. Cichocki, Time-Frequency and Synchrony Analysis of Responses to Steady-state Auditory and Musical Stimuli from Multichannel EEG, NIPS Workshop on Music, Brain and Cognition, 2007. [ PDF ] 

  44. J. Dauwels, F. Vialatte, and A. Cichocki, A Comparative Study of Synchrony Measures for the Early Detection of Alzheimer’s Disease Based on EEG, Proc. 2007 International Conference on Neural Information Processing (ICONIP), 13–16 November, 2007, Kitakyushu, Japan. [ PDF ]

  45. J. Dauwels, F. Vialatte, and A. Cichocki, A Novel Measure for Synchrony and Its Application to Neural Signals, Proc. IEEE Int. Conf. on Acoustics and Signal Processing (ICASSP), 2007 (invited paper).