Publications

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2019
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., "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)
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)
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)
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)
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)
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)
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)
2021
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)
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)