Publications

Journal Papers

  • Y. El-Laham and M. F. Bugallo, “Policy gradient importance sampling for Bayesian inference,” [UNDER REVIEW]
  • Y. El-Laham and M. F. Bugallo, “Stochastic gradient population Monte Carlo,” IEEE Signal Processing Letters. (read here)
  • Y. El-Laham, V. Elvira and M. F. Bugallo, “Robust covariance adaptation in adaptive importance sampling,” IEEE Signal Processing Letters. (read here)

Conference Papers

  • Y. El-Laham, L. Yang, H. J. Lynch, P. M. Djuric, and M. F. Bugallo, “Particle Gibbs sampling for regime-switching state-space models.” (derivations).
  • Y. El-Laham, L. Yang, P. M. Djuric, M. F. Bugallo, “Particle filtering under general regime switching.” in 2020 28th European Signal Processing Conference (EUSIPCO). 2020.
  • Y. El-Laham, P. M. Djurić, M. F. Bugallo, “Enhanced mixture population Monte Carlo via stochastic optimization and Markov chain Monte Carlo sampling.” in 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2020. (read here, slides, code)
  • M. Iloska, Y. El-Laham, M. F. Bugallo, “A particle Gibbs sampling approach to topology inference in gene regulatory networks.” in 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2020. (read here)
  • L. Yang, H. Wang, Y. El-Laham, J. I. L. Fonte, D. T. Perez, M. F. Bugallo, “Indoor altitude estimation of unmanned aerial vehicles using a bank of Kalman filters.” in 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2020. (read here)
  • Y. El-Laham, V. Elvira and M. F. Bugallo, “Recursive shrinkage covariance learning in adaptive importance sampling,” in 2019 IEEE 9th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP). 2019. (read here)
  • Y. El-Laham, Z. Krayem, J. Maghakian and M. F. Bugallo, “A novel particle filter for high-dimensional systems using penalized perturbations” in 2019 27th European Signal Processing Conference (EUSIPCO). (read here)
  • Y. El-Laham, L. Martino, V. Elvira and M. F. Bugallo, “Efficient adaptive multiple importance sampling” in 2019 27th European Signal Processing Conference (EUSIPCO). (read here)
  • Y. El-Laham, P. M. Djurić and M. F. Bugallo, “A variational adaptive population importance sampler” in 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). [BEST STUDENT PAPER AWARD] (read here)

Workshop Presentations

  • Y. El-Laham and M. F. Bugallo,“Weighted deep ensembles for classification under architecture uncertainty.” in 2020 International Conference on Machine Learning (ICML). Affinity Group Poster Session. 2020.