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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.
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P
Pal, S.
, and
M. Coates
,
"
Sequential MCMC with the discrete bouncy particle sampler
",
Proc. IEEE Statistical Signal Processing Workshop (SSP)
, Freiburg, Germany, IEEE, 06/2018.
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ssp18_v4.pdf
(210.86 KB)
Pal, S.
,
F. Regol
, and
M. 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.
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Pal, S.
, and
M. Coates
,
"
Gaussian sum particle flow filter
",
Proc. IEEE Computational Advances in Multi-Sensor Adaptive Process. (CAMSAP)
, Curacao, The Netherlands, IEEE, 12/2017.
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CAMSAP_v8.pdf
(217.44 KB)
Pal, S.
,
F. Regol
, and
M. 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.
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Pal, S.
, and
M. Coates
,
"
Scalable MCMC in degree corrected stochastic block model
",
Proc. IEEE Int. Conf. Acoust., Speech and Signal Process. (ICASSP)
, Brighton, UK, 05/2019.
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dcbm_mcmc.pdf
(233.44 KB)
Pal, S.
, and
M. 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.
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ICASSP_v7.pdf
(204.1 KB)
Z
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.
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