Publications

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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)
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)
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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)
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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)
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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)
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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)
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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., 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)
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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)
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)
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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)
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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., 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)