Jeremie Houssineau

48 papers A* 1A 3C 6Journal 32Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Action-Free Offline-to-Online RL via Discretised State Policies. CoRR Natinael Solomon Neggatu, Jeremie Houssineau, Giovanni Montana
2025	A	`conf`	Decoupling epistemic and aleatoric uncertainties with possibility theory. AISTATS Nong Minh Hieu, Jeremie Houssineau, Neil K. Chada, Emmanuel Delande
2025	A	`conf`	Evaluation-Time Policy Switching for Offline Reinforcement Learning. AAMAS Natinael Solomon Neggatu, Jeremie Houssineau, Giovanni Montana
2025	J	`jnl`	Evaluation-Time Policy Switching for Offline Reinforcement Learning. CoRR Natinael Solomon Neggatu, Jeremie Houssineau, Giovanni Montana
2025	A*	`conf`	Investigating Relational State Abstraction in Collaborative MARL. AAAI Sharlin Utke, Jeremie Houssineau, Giovanni Montana
2025	J	`jnl`	Maxitive Donsker-Varadhan Formulation for Possibilistic Variational Inference. CoRR Jasraj Singh, Shelvia Wongso, Jeremie Houssineau, Badr-Eddine Chérief-Abdellatif
2025	J	`jnl`	Orbit-Attitude Coupled Control for Multitarget Tracking Based on Partition Pattern Search. IEEE Trans. Aerosp. Electron. Syst. Zhirun Xue, Han Cai, Jeremie Houssineau, Jingrui Zhang
2024	C	`conf`	Decentralised multi-sensor target tracking with limited field of view via possibility theory. FUSION Jeremie Houssineau, Chenbao Xue, Han Cai, Murat Uney, Emmanuel Delande
2024	A	`conf`	Embracing Relational Reasoning in Multi-Agent Actor-Critic. AAMAS Sharlin Utke, Jeremie Houssineau, Giovanni Montana
2024	J	`jnl`	Improving Active Learning with a Bayesian Representation of Epistemic Uncertainty. CoRR Jake Thomas, Jeremie Houssineau
2024	J	`jnl`	Investigating Relational State Abstraction in Collaborative MARL. CoRR Sharlin Utke, Jeremie Houssineau, Giovanni Montana
2024	J	`jnl`	Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning. CoRR Ting Zhu, Yue Jin, Jeremie Houssineau, Giovanni Montana
2024	J	`jnl`	Mitigating Relative Over-Generalization in Multi-Agent Reinforcement Learning. Trans. Mach. Learn. Res. Ting Zhu, Yue Jin, Jeremie Houssineau, Giovanni Montana
2024	J	`jnl`	On Unbiased Estimation for Partially Observed Diffusions. J. Mach. Learn. Res. Jeremy Heng, Jeremie Houssineau, Ajay Jasra
2024	J	`jnl`	Redesigning the ensemble Kalman filter with a dedicated model of epistemic uncertainty. CoRR Chatchuea Kimchaiwong, Jeremie Houssineau, Adam M. Johansen
2024	J	`jnl`	Robust Multi-Sensor Multi-Target Tracking Using Possibility Labeled Multi-Bernoulli Filter. CoRR Han Cai, Chenbao Xue, Jeremie Houssineau, Zhirun Xue
2023	J	`jnl`	Possibility Generalized Labeled Multi-Bernoulli Filter for Multitarget Tracking Under Epistemic Uncertainty. IEEE Trans. Aerosp. Electron. Syst. Han Cai, Jeremie Houssineau, Brandon A. Jones, Moriba K. Jah, Jingrui Zhang
2021	J	`jnl`	A Linear Algorithm for Multi-Target Tracking in the Context of Possibility Theory. IEEE Trans. Signal Process. Jeremie Houssineau
2021	J	`jnl`	Observer control for bearings-only tracking using possibility functions. Autom. ZhiJin Chen, Branko Ristic, Jeremie Houssineau, Du Yong Kim
2021	J	`jnl`	Uncertainty modelling and computational aspects of data association. Stat. Comput. Jeremie Houssineau, Jiajie Zeng, Ajay Jasra
2020	J	`jnl`	Target tracking in the framework of possibility theory: The possibilistic Bernoulli filter. Inf. Fusion Branko Ristic, Jeremie Houssineau, Sanjeev Arulampalam
2019	J	`jnl`	Identification of MultiObject Dynamical Systems: Consistency and Fisher Information. SIAM J. Control. Optim. Jeremie Houssineau, Sumeetpal S. Singh, Ajay Jasra
2019	J	`jnl`	On Large Lag Smoothing for Hidden Markov Models. SIAM J. Numer. Anal. Jeremie Houssineau, Ajay Jasra, Sumeetpal S. Singh
2019	J	`jnl`	Target tracking in the framework of possibility theory: The possibilistic Bernoulli filter. CoRR Branko Ristic, Jeremie Houssineau, Sanjeev Arulampalam
2018	C	`conf`	A New Representation of Uncertainty for Data Fusion in SSA Detection and Tracking Problems. FUSION Emmanuel Delande, Jeremie Houssineau, Moriba K. Jah
2018	J	`jnl`	A Second-Order PHD Filter With Mean and Variance in Target Number. IEEE Trans. Signal Process. Isabel Schlangen, Emmanuel Delande, Jeremie Houssineau, Daniel E. Clark
2018	J	`jnl`	Multilevel Monte Carlo for Smoothing via Transport Methods. SIAM J. Sci. Comput. Jeremie Houssineau, Ajay Jasra, Sumeetpal S. Singh
2018	J	`jnl`	Multitarget Filtering With Linearized Complexity. IEEE Trans. Signal Process. Jeremie Houssineau, Daniel E. Clark
2018	J	`jnl`	Robust TMA using the possibility particle filter. CoRR Branko Ristic, Jeremie Houssineau, Sanjeev Arulampalam
2018	J	`jnl`	Smoothing and Filtering with a Class of Outer Measures. SIAM/ASA J. Uncertain. Quantification Jeremie Houssineau, Adrian N. Bishop
2018	J	`jnl`	Spatio-temporal tracking from natural language statements using outer probability theory. Inf. Sci. Adrian N. Bishop, Jeremie Houssineau, Daniel Angley, Branko Ristic
2017	J	`jnl`	A Tractable Forward- Backward CPHD Smoother. IEEE Trans. Aerosp. Electron. Syst. Sharad Nagappa, Emmanuel Delande, Daniel E. Clark, Jeremie Houssineau
2017	J	`jnl`	The CPHD Filter With Target Spawning. IEEE Trans. Signal Process. Daniel S. Bryant, Emmanuel Delande, Steven Gehly, Jeremie Houssineau, Daniel E. Clark, Brandon A. Jones
2016	C	`conf`	A PHD filter with negative binomial clutter. FUSION Isabel Schlangen, Emmanuel Delande, Jeremie Houssineau, Daniel E. Clark
2016	J	`jnl`	A Unified Approach for Multi-Object Triangulation, Tracking and Camera Calibration. IEEE Trans. Signal Process. Jeremie Houssineau, Daniel E. Clark, Spela Ivekovic, Chee Sing Lee, Jose Franco
2016	J	`jnl`	Bayesian data assimilation based on a family of outer measures. CoRR Jeremie Houssineau, Daniel E. Clark
2016	J	`jnl`	Marker-Less Stage Drift Correction in Super-Resolution Microscopy Using the Single-Cluster PHD Filter. IEEE J. Sel. Top. Signal Process. Isabel Schlangen, Jose Franco, Jeremie Houssineau, William T. E. Pitkeathly, Daniel Edward Clark, Ihor Smal, Colin Rickman
2015	—	`conf`	A sequential Monte Carlo approximation of the HISP filter. EUSIPCO Jeremie Houssineau, Daniel E. Clark, Pierre Del Moral
2014	—	`conf`	A novel approach to image calibration in super-resolution microscopy. ICCAIS Isabel Schlangen, Jeremie Houssineau, Daniel E. Clark
2014	J	`jnl`	A unified approach for multi-object triangulation, tracking and camera calibration. CoRR Jeremie Houssineau, Daniel E. Clark, Spela Ivekovic, Chee Sing Lee, Jose Franco
2014	—	`conf`	Accelerating the Single Cluster PHD Filter with a GPU implementation. ICCAIS Chee Sing Lee, Jose Franco, Jeremie Houssineau, Daniel E. Clark
2014	—	`conf`	Bayesian estimation of multi-object systems with independently identically distributed correlations. SSP Jeremie Houssineau, Daniel E. Clark
2014	—	`conf`	Faà Di Bruno's formula and volterra series. SSP Daniel E. Clark, Jeremie Houssineau
2014	J	`jnl`	Regional Variance for Multi-Object Filtering. IEEE Trans. Signal Process. Emmanuel Delande, Murat Uney, Jeremie Houssineau, Daniel E. Clark
2013	—	`conf`	General multi-object filtering and association measure. CAMSAP Jeremie Houssineau, Pierre Del Moral, Daniel E. Clark
2012	C	`conf`	Disparity space: A parameterisation for Bayesian triangulation from multiple cameras. FUSION Jeremie Houssineau, Spela Ivekovic, Daniel E. Clark
2010	C	`conf`	PHD filter with diffuse spatial prior on the birth process with applications to GM-PHD filter. FUSION Jeremie Houssineau, Dann Laneuville
2010	C	`conf`	Passive multi target tracking with GM-PHD filter. FUSION Dann Laneuville, Jeremie Houssineau