Assistant Professor at the Nanyang Technological University
Publications
Journals [J], Conferences [C] and Book chapters [B]
[J31] Z. Xue, H. Cai, J. Houssineau and J. Zhang: Orbit-Attitude Coupled Control for Multi Target Tracking Based on Partition Pattern Search. IEEE Transactions on Aerospace and Electronic Systems, 61(4), 10855-10867, 2025. (IEEE Explore)
[C29] N. Neggatu, J. Houssineau and G. Montana: Evaluation-Time Policy Switching for Offline Reinforcement Learning. 24th International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2025. (arXiv:2503.12222)
[C28] N. M. Hieu, J. Houssineau and N. K. Chada, E. Delande: Decoupling epistemic and aleatoric uncertainties with possibility theory. 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025. (OpenReview)
[C27] S. Utke, J. Houssineau and G. Montana: Investigating relational state abstraction in collaborative MARL. 39th Annual AAAI Conference on Artificial Intelligence, 2025. (arXiv:2412.15388)
[J30] T. Zhu, Y. Jin, J. Houssineau and G. Montana: Mitigating relative over-generalisation in multi-agent reinforcement learning. Transactions on Machine Learning Research, 2024. (OpenReview)
[C26] J. Houssineau, C. Xue, H. Cai, M. Uney and E. Delande. Decentralised multi-sensor target tracking with limited field of view via possibility theory. 27th International Conference on Information Fusion (FUSION), 2024 (IEEE Explore)
[C26] N. Valeyrie, J. Houssineau, C. Strode and Y. Pailhas. On the Estimation of the Size of a Target Population. 27th International Conference on Information Fusion (FUSION), 2024 (IEEE Explore)
[C24] S. Utke, J. Houssineau and G. Montana: Embracing relational reasoning in multi-agent critic 23rd International conference on Autonomous Agents and Multiagent Systems (AAMAS), 2024 (ifaamas.org)
[J29] J. Zhang, Z. Xue, H. Cai, J. Houssineau and L. Li: Robust trajectory control for multi-target tracking in proximity operations Journal of Guidance, Control, and Dynamics. 47(10), 2194-2203, 2024 (arc.aiaa.org)
[J28] J. Heng, J. Houssineau and A. Jasra: On Unbiased Score Estimation for Partially Observed Diffusions Journal of Machine Learning Research, 25(66):1–66, 2024 (JMLR, arXiv:2105.04912)
[J27] H. Cai, C. Xue, J. Houssineau, M. Jah and J. Zhang: Possibilistic space object tracking under epistemic uncertainty Advances in Space Research, 71(12), 5083–5099, 2023 (ScienceDirect)
[J26] H. Cai, J. Houssineau, B. A. Jones, M. Jah and J. Zhang: Possibility generalized labeled multi-Bernoulli filter for multi-target tracking under epistemic uncertainty IEEE Transactions on Aerospace and Electronic Systems, 59(2), 1312–1326, 2023 (IEEE Xplore)
[B2] E. Delande and J. Houssineau: Uncertain Data Representation In: P. Magee, M. Jah and W. Larson (eds.) Space Domain Awareness, 1st edition. Space Technology Series, 2022 (STS)
[J25] J. Houssineau, J. Zeng and A. Jasra: Uncertainty modelling and computational aspects of data association Statistics and Computing, 31(59), 2021 (Springer)
[J24] Z. Chen, B. Ristić, J. Houssineau and D.Y. Kim: Observer control for bearings-only tracking using possibility functions Automatica, 133, 109888, 2021 (Elsevier)
[J23] J. Houssineau: A linear algorithm for multi-target tracking in the context of possibility theory IEEE Transactions on Signal Processing, 69, 2740–2751, 2021 (IEEE Xplore, arXiv:1801.00571 with supplementary material as appendix)
[J22] B. Ristić, J. Houssineau and S. Arulampalam: Target tracking in the framework of possibility theory: The possibilistic Bernoulli filter Information Fusion, 62, 81-88, 2020 (Elsevier, arXiv:1911.04022)
[J21] J. Houssineau, A. Jasra and S.S. Singh: On Large Lag Smoothing for Hidden Markov Models SIAM Journal on Numerical Analysis, 57(6), 2812–2828, 2019 (SIAM, arXiv:1804.07117)
[J20] J. Houssineau, S.S. Singh and A. Jasra: Identification of multi-object dynamical systems: consistency and Fisher information SIAM Journal on Control and Optimization, 57(4), 2603–2627, 2019 (SIAM, arXiv:1707.04371)
[J19] J. Houssineau and D.E. Clark: On a representation of partially-distinguishable populations Statistics, 54(1), 23-45, 2020 (Taylor & Francis, arXiv:1608.00723)
[J18] E.D. Delande, J. Houssineau, J. Franco, C. Frueh, D.E. Clark and M. Jah: A new multi-target tracking algorithm for a large number of orbiting objects Advances in Space Research, 64(3), 645-667, 2019 (ScienceDirect)
[J17] M. Üney, J. Houssineau, E.D. Delande, S.J. Julier and D.E. Clark: Fusion of finite set distributions: Pointwise consistency and global cardinality IEEE Transactions on Aerospace and Electronic Systems, 55(6), 2759-2773, 2019 (IEEE Xplore)
[J16] B. Ristić, J. Houssineau and S. Arulampalam: Robust target motion analysis using the possibility particle filter IET Radar, Sonar & Navigation, 13(1), 18-22, 2019 (IET Digital Library)
[J15] J. Houssineau and D.E. Clark: Multi-target filtering with linearized complexity IEEE Transactions on Signal Processing, 66(18), 4957-4970, 2018 (IEEE Xplore, post-print (corrections in blue), supplementary materials) The code of the HISP filter is also available on the Software page.
[J14] E.D. Delande, J. Houssineau and M. Jah: Physics and human-based information fusion for improved resident space object tracking Advances in Space Research, 62(7), 1800-1812, 2018 (ScienceDirect)
[J13] A.N. Bishop, J. Houssineau, D. Angley and B. Ristić: Spatio-temporal tracking from natural language statements using outer probability theory Information Sciences, 463-464, 56-74, 2018 (ScienceDirect, preprint)
[J12] J. Houssineau, A. Jasra and S.S. Singh: Multilevel Monte Carlo for Smoothing via Transport Methods SIAM Journal on Scientific Computing, 40(4), A2315-A2335, 2018 (SIAM)
[J11] J. Houssineau and A.N. Bishop: Smoothing and filtering with a class of outer measures SIAM/ASA Journal on Uncertainty Quantification, 6(2), 845-866, 2018 (SIAM)
[J10] With D. Crisan, P. Del Moral and A. Jasra: Unbiased Multi-index Monte Carlo Stochastic Analysis and Applications, 36(2), 257-273, 2018 (Taylor & Francis)
[J9] I. Schlangen, E.D. Delande, J. Houssineau and D.E. Clark: A second-order PHD filter with mean and variance in target number IEEE Transactions on Signal Processing, 66(1), 48-63, 2018 (IEEE Xplore)
[J8] E.D. Delande, C. Früh, J. Franco, J. Houssineau and D.E. Clark: Novel Multi-Object Filtering Approach for Space Situational Awareness Journal of Guidance, Control, and Dynamics; Special Issue on Space Domain Awareness, 41(1), 59-73, 2018 (arc.aiaa.org)
[C23] E.D. Delande, J. Houssineau and M. Jah: A New Representation of Uncertainty for Data Fusion in SSA Detection and Tracking Problems 21st International Conference on Information Fusion (FUSION), 2018 (IEEE Xplore)
[J7] S. Nagappa, E.D. Delande, D.E. Clark and J. Houssineau: A tractable forward-backward CPHD smoother IEEE Transactions on Aerospace and Electronic Systems, 53(1), 2017 (IEEE Xplore)
[J6] Y. Pailhas, J. Houssineau, Y. Petillot and D.E. Clark: Tracking with MIMO sonar systems: applications to harbour surveillance IET Radar, Sonar & Navigation, 11(4), 629-639, 2017 (IET Digital Library)
[C22] E.D. Delande, J. Houssineau, J. Franco, C. Früh and D.E. Clark: A new multi-target tracking algorithm for a large number of orbiting objects 27th AAS/AIAA Space Flight Mechanics Meeting (Preprint)
[J5] D.S. Bryant, E.D. Delande, S. Gehly, J. Houssineau, D.E. Clark and B.A. Jones: The CPHD filter with target spawning IEEE Transactions on Signal Processing, 65(5), 13124-13138, 2016 (IEEE Xplore)
[J4] J. Houssineau, D.E. Clark, S. Ivekovič, C.S. Lee and J. Franco: A unified approach for multi-object triangulation, tracking and camera calibration IEEE Transactions on Signal Processing, 64(11), 2934-2948, 2016 (IEEE Xplore)
[J3] I. Schlangen, J. Franco, J. Houssineau, E.W. Pitkeathly, D.E. Clark, I. Smal and C. Rickman: Multiple object tracking with marker-less stage drift correction in super-resolution microscopy IEEE Journal of Selected Topics in Signal Processing, Special Issue on Advanced Signal Processing in Microscopy and Cell Imaging, 10(1), 193-202, 2016 (IEEE Xplore)
[C21] I. Schlangen, E.D. Delande, J. Houssineau, and D.E. Clark: A PHD filter with negative binomial clutter 19th International Conference on Information Fusion (FUSION), 2016 (IEEE Xplore)
[C20] J. Franco, E.D. Delande, C. Früh, J. Houssineau and D.E. Clark: A spherical co-ordinate space parameterisation for orbit estimation IEEE Aerospace Conference, 2016 (IEEE Xplore)
[C19] O. Hagen, J. Houssineau, I. Schlangen, E.D. Delande, J. Franco and D. E. Clark: Joint estimation of telescope drift and space debris tracking IEEE Aerospace Conference, 2016 (IEEE Xplore)
[B1] With P. Del Moral: Particle association measures and multiple target tracking In: T. Matsui and G.W. Peters (eds.) Theoretical Aspects of Spatial-Temporal Modeling. Springer Japan, 2015 (Springer)
[C18] J. Houssineau, D.E. Clark and P. Del Moral: A sequential Monte Carlo approximation of the HISP filter European Signal Processing Conference (EUSIPCO), 2015 (Eurasip.org)
[C17] M. Andrecki, E.D. Delande, J. Houssineau and D.E. Clark: Sensor management with regional statistics for the PHD filter IEEE Sensor Signal Processing for Defence (SSPD), 2015 (Preprint)
[C16] I. McKenna, F. Tonolini, R. Tobin, J. Houssineau, H. Bridle, C. McDougall, I. Schlangen, J.S. McGrath, M. Jimenez and D.E. Clark: Observing the dynamics of waterborne pathogens for assessing the level of contamination IEEE Sensor Signal Processing for Defence (SSPD), 2015 (Preprint)
[C15] O. Hagen, K. Istenič, V. Bharti, M.A. Dhali, D. Barmaimon, J. Houssineau and D. E. Clark: Calibration of asynchronous smart phone cameras from moving objects 12th International Conference on Quality Control by Artificial Vision, 2015 (SPIE Digital Library)
[C14] E.D. Delande, C. Früh, J. Houssineau and D.E. Clark: Multi-object filtering for space situational awareness 25th AAS/AIAA Space Flight Mechanics Meeting, 2015 (Preprint)
[J2] E.D. Delande, M. Üney, J. Houssineau and D.E. Clark: Regional variance for multi-object filtering IEEE Transactions on Signal Processing, 62(13), 3415-3428, 2014 (IEEE Xplore)
[C13] C.S. Lee, J. Franco, J. Houssineau and D.E. Clark: Accelerating the single cluster PHD filter with a GPU implementation 3rd International Conference on Control, Automation and Information Sciences (ICCAIS), 2014 (Preprint)
[C12] I. Schlangen, J. Houssineau and D.E. Clark: A novel approach to image calibration in super-resolution microscopy 3rd International Conference on Control, Automation and Information Sciences (ICCAIS), 2014 (Preprint)
[C11] E.D. Delande, J. Houssineau and D.E. Clark: Performance metric in closed-loop sensor management for stochastic populations IEEE Sensor Signal Processing for Defence (SSPD), 2014 (Preprint)
[C10] J. Houssineau and D.E. Clark: Bayesian estimation of multi-object systems with independently identically distributed correlations IEEE Statistical Signal Processing Workshop (SSP), 2014 (IEEE Xplore, preprint)
[C9] D.E. Clark and J. Houssineau: Faa di Bruno’s formula and Volterra series IEEE Statistical Signal Processing Workshop (SSP), 2014 (IEEE Xplore)
[C8] Y. Pailhas, J. Houssineau, E.D. Delande, Y. Petillot and D.E. Clark: Tracking underwater objects using large MIMO sonar systems International Conference on Underwater Acoustic, 2014 (Preprint)
[J1] D.E. Clark and J. Houssineau: Faà di Bruno’s formula and spatial cluster modelling Spatial Statistics, 6, 109-117, 2013 (ScienceDirect)
[C7] J. Houssineau, P. Del Moral and D.E. Clark: General multi-object filtering and association measure 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), 2013 (Preprint)
[C6] J. Franco, J. Houssineau, D.E. Clark and C. Rickman: Simultaneous tracking of multiple particles and sensor position estimation in fluorescence microscopy images 2nd International Conference on Control, Automation and Information Sciences (ICCAIS), 2013 (IEEE Xplore)
[C5] E.D. Delande, J. Houssineau and D.E. Clark: Localised variance in target number for the Cardinalized Probability Hypothesis Density filter 16th International Conference on Information Fusion (FUSION), 2013 (Preprint)
[C4] E.D. Delande, J. Houssineau and D.E. Clark: PHD filtering with localised target number variance SPIE Defense, Security, and Sensing, 2013 (SPIE Digital Library)
[C3] J. Houssineau, S. Ivekovič and D.E. Clark: Disparity space: A parameterisation for Bayesian triangulation from multiple cameras 15th International Conference on Information Fusion (FUSION), 2012 (IEEE Xplore)
[C2] J. Houssineau and D. Laneuville: PHD filter with diffuse spatial prior on the birth process with applications to GM-PHD filter 13th International Conference on Information Fusion (FUSION), 2010 (IEEE Xplore)
[C1] D. Laneuville and J. Houssineau: Passive multi target tracking with GM-PHD filter 13th International Conference on Information Fusion (FUSION), 2010 (IEEE Xplore)
Ph.D. thesis
J. Houssineau: Representation and estimation of stochastic populations Heriot-Watt University, 2015 (Final version)
Reports [R]
[R10] J. Houssineau: Parameter estimation with a class of outer probability measures (arXiv:1801.00569)
[R9] J. Houssineau, A. Jasra and S.S. Singh: On the loss of Fisher information in some multi-object tracking observation models (arXiv:1803.09496)
[R8] J. Houssineau and B. Ristić: Sequential Monte Carlo algorithms for a class of outer measures (arXiv:1708.06489)
[R7] J. Houssineau and D.E. Clark: Bayesian data assimilation based on a family of outer measures (arXiv:1611.02989)
[R6] D.E. Clark, E.D. Delande and J. Houssineau: Basic concepts for multi-object estimation (Lecture notes)
[R5] E.D. Delande, J. Houssineau and D.E. Clark: Multi-object filtering with stochastic populations (arXiv:1501.04671)
[R4] D.E. Clark, J. Houssineau and E.D. Delande: A few calculus rules for chain differentials ArXiv preprint, arXiv:1506.08626
[R3] D.E. Clark and J. Houssineau: Faà di Bruno’s formula for chain differentials ArXiv Preprint, arXiv:1310.2833
[R2] J. Houssineau, E.D. Delande and D.E. Clark: Notes of the Summer School on Finite Set Statistics ArXiv Preprint, arXiv:1308.2586
[R1] D.E. Clark and J. Houssineau: Faa di Bruno’s formula for Gateaux differentials and interacting stochastic population processes ArXiv Preprint, arXiv:1202.0264