Publications

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2021
Pal, S., L. Ma, Y. Zhang, and M. J. Coates, "RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting", Proc. Int. Conf. Machine Learning, Virtual Conference, Jul., 2021.  Download: 2106.06064.pdf (6.6 MB)
Zhang, Y., F. Regol, S. Pal, S. Khan, L. Ma, and M. J. Coates, "Detection and Defense of Topological Adversarial Attacks on Graphs", Proc. Int. Conf. Artificial Intell. and Statist., Virtual Conference, Apr., 2021.  Download: zhang21i.pdf (828 KB); zhang21i-supp.pdf (812.3 KB)
2020
Pal, S., S. Malekmohammadi, F. Regol, Y. Zhang, Y. Xu, and M. J. Coates, "Non-Parametric Graph Learning for Bayesian Graph Neural Networks", Proc. Uncertainity in Artificial Intell., Virtual Conference, Aug., 2020.  Download: 2006.13335.pdf (796.91 KB)
2019
Teimury, F., S. Pal, A. Amini, and M. J. Coates, "Estimation of time-series on graphs using Bayesian graph convolutional neural networks", Proc. SPIE Wavelets and Sparsity XVIII, vol. 11138, San Diego, CA, USA, pp. 299 – 306, Sep., 2019.  Download: spie_paper.pdf (380.41 KB)
Regol, F., S. Pal, and M. J. Coates, "Node Copying for Protection Against Graph Neural Network Topology Attacks", Proc. IEEE Comput. Adv. in Multi-Sensor Adaptive Process., Guadeloupe, West Indies, Dec., 2019.  Download: 2007.06704.pdf (310.01 KB)
Pal, S., and M. J. Coates, "Particle Flow Particle Filter using Gromov’s method", Proc. IEEE Comput. Adv. in Multi-Sensor Adaptive Process., Guadeloupe, West Indies, Dec., 2019.  Download: CAMSAP_MC_2019.pdf (251.51 KB)
Yu, J. Y., M. J. Coates, and M. G. Rabbat, "Graph-Based Compression for Particle Filters", IEEE Trans. Signal Inf. Process. Netw. , vol. 5, issue 3, 09/2019.  Download: Graph-Based Compression for Distributed Particle Filters.pdf (416.04 KB)
Pal, S., F. Regol, and M. J. Coates, "Bayesian graph convolutional neural networks using node copying", Proc. Learning and Reasoning with Graph-Structured Representations Workshop, (International Conference on Machine Learning), Long Beach, USA, 06/2019.  Download: 1911.04965.pdf (417.04 KB)
Pal, S., F. Regol, and M. J. Coates, "Bayesian graph convolutional neural networks using non-parametric graph learning", Proc. Representation Learning on Graphs and Manifolds Workshop (Int. Conf. Learning Representations), New Orleans, USA, 05/2019.  Download: 1910.12132.pdf (567.01 KB)
Li, Y., S. Pal, and M. J. Coates, "Invertible particle-flow-based sequential MCMC with extension to Gaussian mixture noise models", IEEE Trans. Signal Processing, vol. 67, issue 9, pp. 2499-2512, 05/2019.  Download: 1807.02535.pdf (3.72 MB)
Pal, S., and M. J. Coates, "Scalable MCMC in degree corrected stochastic block model", Proc. IEEE Int. Conf. Acoust., Speech and Signal Process. (ICASSP), Brighton, UK, 05/2019.  Download: dcbm_mcmc.pdf (233.44 KB)
Valenchon, J., "Graph-based machine learning algorithms for predicting disease outcomes", Electrical and Computer Engineering, vol. Master, Montreal, McGill, pp. 108, 03/2019.  Download: Thesis_v1_revised_Juliette_Valenchon.pdf (5.39 MB)
Zhang, Y., S. Pal, M. J. Coates, and D. Üstebay, "Bayesian graph convolutional neural networks for semi-supervised classification", Proc. AAAI Int. Conf. Artificial Intelligence, Hawaii, USA, 02/2019.  Download: 1811.11103.pdf (282.23 KB)
Valenchon, J., and M. J. Coates, "Multiple-Graph Recurrent Graph Convolutional Neural Network architectures for predicting disease outcomes", 2019 IEEE International Conference of Acoustics, Speech and Signal Processing, Brighton, UK, 2019.  Download: 20190220023825_521885_3600.pdf (346.53 KB)
2018
Henderson, P., M. Vertescher, D. Meger, and M. J. Coates, "Cost adaptation for robust decentralized swarm behaviour", Proc. IEEE Int. Conf. Intelligent Robots and Systems, Madrid, Spain, 10/2018.
Pal, S., and M. J. Coates, "Sequential MCMC with the discrete bouncy particle sampler", Proc. IEEE Statistical Signal Processing Workshop (SSP), Freiburg, Germany, IEEE, 06/2018.  Download: ssp18_v4.pdf (210.86 KB)
Pal, S., and M. J. Coates, "Particle flow particle filter for Gaussian mixture noise models", Proc. IEEE Int. Conf. Acoust., Speech and Signal Process. (ICASSP), Calgary, Canada, IEEE, 04/2018.  Download: ICASSP_v7.pdf (204.1 KB)
2017
Pal, S., and M. J. Coates, "Gaussian sum particle flow filter", Proc. IEEE Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP), Curacao, The Netherlands, IEEE, 12/2017.  Download: CAMSAP_v8.pdf (217.44 KB)
Saucan, A. - A., M. J. Coates, and M. G. Rabbat, "A multi-sensor multi-Bernoulli filter", IEEE Trans. Signal Processing, vol. 65, issue 20, pp. 5495-5509, 10/2017.  Download: MATLAB_MS_MeMBer_web_release.zip (352.44 KB); ms_member_final.pdf (587.56 KB)
Li, Y., and M. J. Coates, "Particle Filtering with Invertible Particle Flow", IEEE Transactions on Signal Processing, vol. 65, issue 15, pp. 4102 - 4116, 08/2017.  Download: PFPF.zip (214.67 KB)
Saucan, A. - A., Y. Li, and M. J. Coates, "Particle flow superpositional GLMB filter", Proc. SPIE Conf. Signal Process., Sensor/Inform. Fusion, Target Recog. XXVI, Anaheim, CA, 04/2017.  Download: particle-flow-superpositional_final.pdf (377.8 KB)
Saucan, A. - A., Y. Li, and M. J. Coates, "Particle flow SMC delta-GLMB filter", Proc. IEEE Int. Conf. Acoust. Speech Signal Process. (ICASSP), New Orleans, LA, 03/2017.  Download: pfpf_GLMB_final.pdf (810.32 KB)