PHD filter with diffuse spatial prior on the birth process with applications to GM-PHD filter. - Jeremie Houssineau; Dann Laneuville (FUSION, 2010)

Passive multi target tracking with GM-PHD filter. - Dann Laneuville; Jeremie Houssineau (FUSION, 2010)

Disparity space: A parameterisation for Bayesian triangulation from multiple cameras. - Jeremie Houssineau; Spela Ivekovic; Daniel E. Clark (FUSION, 2012)

General multi-object filtering and association measure. - Jeremie Houssineau; Pierre Del Moral; Daniel E. Clark (CAMSAP, 2013)

Accelerating the Single Cluster PHD Filter with a GPU implementation. - Chee Sing Lee 001; Jose Franco; Jeremie Houssineau; Daniel E. Clark (ICCAIS, 2014)

A novel approach to image calibration in super-resolution microscopy. - Isabel Schlangen; Jeremie Houssineau; Daniel E. Clark (ICCAIS, 2014)

Faà Di Bruno's formula and volterra series. - Daniel E. Clark; Jeremie Houssineau (SSP, 2014)

Bayesian estimation of multi-object systems with independently identically distributed correlations. - Jeremie Houssineau; Daniel E. Clark (SSP, 2014)

Regional Variance for Multi-Object Filtering. - Emmanuel Delande; Murat Uney; Jeremie Houssineau; Daniel E. Clark (IEEE Trans. Signal Process., 2014)

A sequential Monte Carlo approximation of the HISP filter. - Jeremie Houssineau; Daniel E. Clark; Pierre Del Moral (EUSIPCO, 2015)

A PHD filter with negative binomial clutter. - Isabel Schlangen; Emmanuel Delande; Jeremie Houssineau; Daniel E. Clark (FUSION, 2016)

Bayesian data assimilation based on a family of outer measures. - Jeremie Houssineau; Daniel E. Clark (CoRR, 2016)

Marker-Less Stage Drift Correction in Super-Resolution Microscopy Using the Single-Cluster PHD Filter. - Isabel Schlangen; Jose Franco; Jeremie Houssineau; William T. E. Pitkeathly; Daniel Edward Clark; Ihor Smal; Colin Rickman (IEEE J. Sel. Top. Signal Process., 2016)

A Unified Approach for Multi-Object Triangulation, Tracking and Camera Calibration. - Jeremie Houssineau; Daniel E. Clark; Spela Ivekovic; Chee Sing Lee 001; Jose Franco (IEEE Trans. Signal Process., 2016)

A Tractable Forward- Backward CPHD Smoother. - Sharad Nagappa; Emmanuel Delande; Daniel E. Clark; Jeremie Houssineau (IEEE Trans. Aerosp. Electron. Syst., 2017)

The CPHD Filter With Target Spawning. - Daniel S. Bryant; Emmanuel Delande; Steven Gehly; Jeremie Houssineau; Daniel E. Clark; Brandon A. Jones (IEEE Trans. Signal Process., 2017)

A New Representation of Uncertainty for Data Fusion in SSA Detection and Tracking Problems. - Emmanuel Delande; Jeremie Houssineau; Moriba K. Jah (FUSION, 2018)

Robust TMA using the possibility particle filter. - Branko Ristic 001; Jeremie Houssineau; Sanjeev Arulampalam (CoRR, 2018)

Spatio-temporal tracking from natural language statements using outer probability theory. - Adrian N. Bishop; Jeremie Houssineau; Daniel Angley; Branko Ristic 001 (Inf. Sci., 2018)

Smoothing and Filtering with a Class of Outer Measures. - Jeremie Houssineau; Adrian N. Bishop (SIAM/ASA J. Uncertain. Quantification, 2018)

Multilevel Monte Carlo for Smoothing via Transport Methods. - Jeremie Houssineau; Ajay Jasra; Sumeetpal S. Singh (SIAM J. Sci. Comput., 2018)

Multitarget Filtering With Linearized Complexity. - Jeremie Houssineau; Daniel E. Clark (IEEE Trans. Signal Process., 2018)

A Second-Order PHD Filter With Mean and Variance in Target Number. - Isabel Schlangen; Emmanuel Delande; Jeremie Houssineau; Daniel E. Clark (IEEE Trans. Signal Process., 2018)

Identification of MultiObject Dynamical Systems: Consistency and Fisher Information. - Jeremie Houssineau; Sumeetpal S. Singh; Ajay Jasra (SIAM J. Control. Optim., 2019)

On Large Lag Smoothing for Hidden Markov Models. - Jeremie Houssineau; Ajay Jasra; Sumeetpal S. Singh (SIAM J. Numer. Anal., 2019)

Fusion of Finite-Set Distributions: Pointwise Consistency and Global Cardinality. - Murat Üney; Jérémie Houssineau; Emmanuel Delande; Simon J. Julier; Daniel E. Clark (IEEE Trans. Aerosp. Electron. Syst., 2019)

Target tracking in the framework of possibility theory: The possibilistic Bernoulli filter. - Branko Ristic 001; Jeremie Houssineau; Sanjeev Arulampalam (Inf. Fusion, 2020)

Observer control for bearings-only tracking using possibility functions. - Zhijin Chen; Branko Ristic 001; Jeremie Houssineau; Du Yong Kim (Autom., 2021)

Uncertainty modelling and computational aspects of data association. - Jeremie Houssineau; Jiajie Zeng; Ajay Jasra (Stat. Comput., 2021)

A Linear Algorithm for Multi-Target Tracking in the Context of Possibility Theory. - Jeremie Houssineau (IEEE Trans. Signal Process., 2021)

Possibility Generalized Labeled Multi-Bernoulli Filter for Multitarget Tracking Under Epistemic Uncertainty. - Han Cai; Jeremie Houssineau; Brandon A. Jones; Moriba K. Jah; Jingrui Zhang (IEEE Trans. Aerosp. Electron. Syst., 2023)

Embracing Relational Reasoning in Multi-Agent Actor-Critic. - Sharlin Utke; Jeremie Houssineau; Giovanni Montana (AAMAS, 2024)

Decentralised multi-sensor target tracking with limited field of view via possibility theory. - Jeremie Houssineau; Chenbao Xue; Han Cai; Murat Uney; Emmanuel Delande (FUSION, 2024)

On the Estimation of the Size of a Target Population. - Nicolas Valeyrie; Jérémie Houssineau; Christopher Strode; Yan Pailhas (FUSION, 2024)

Robust Multi-Sensor Multi-Target Tracking Using Possibility Labeled Multi-Bernoulli Filter. - Han Cai; Chenbao Xue; Jeremie Houssineau; Zhirun Xue (CoRR, 2024)

Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty. - Chatchuea Kimchaiwong; Jeremie Houssineau; Adam M. Johansen (CoRR, 2024)

Improving Active Learning with a Bayesian Representation of Epistemic Uncertainty. - Jake Thomas; Jeremie Houssineau (CoRR, 2024)

On Unbiased Estimation for Partially Observed Diffusions. - Jeremy Heng; Jeremie Houssineau; Ajay Jasra (J. Mach. Learn. Res., 2024)

Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning. - Ting Zhu; Yue Jin; Jeremie Houssineau; Giovanni Montana (Trans. Mach. Learn. Res., 2024)

Investigating Relational State Abstraction in Collaborative MARL. - Sharlin Utke; Jeremie Houssineau; Giovanni Montana (AAAI, 2025)

Decoupling epistemic and aleatoric uncertainties with possibility theory. - Nong Minh Hieu; Jeremie Houssineau; Neil K. Chada; Emmanuel Delande (AISTATS, 2025)

Evaluation-Time Policy Switching for Offline Reinforcement Learning. - Natinael Solomon Neggatu; Jeremie Houssineau; Giovanni Montana (AAMAS, 2025)

Orbit-Attitude Coupled Control for Multitarget Tracking Based on Partition Pattern Search. - Zhirun Xue; Han Cai; Jeremie Houssineau; Jingrui Zhang (IEEE Trans. Aerosp. Electron. Syst., 2025)