Sumeetpal S. Singh

50 papers B 3C 5Misc 3Journal 31Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Bayesian Deep Learning with Multilevel Trace-Class Neural Networks.
SIAM J. Math. Data Sci.
Neil K. Chada, Ajay Jasra, Kody J. H. Law, Sumeetpal S. Singh
2025 J jnl
Bayesian learning of the optimal action-value function in a Markov decision process.
CoRR
Jiaqi Guo, Chon Wai Ho, Sumeetpal S. Singh
2024 J jnl
Conditional Particle Filters with Bridge Backward Sampling.
J. Comput. Graph. Stat.
Santeri Karppinen, Sumeetpal S. Singh, Matti Vihola
2022 J jnl
Limits of Accuracy for Parameter Estimation and Localization in Single-Molecule Microscopy via Sequential Monte Carlo Methods.
SIAM J. Imaging Sci.
Alix Marie d'Avigneau, Sumeetpal S. Singh, Raimund J. Ober
2022 J jnl
Multilevel Bayesian Deep Neural Networks.
CoRR
Neil K. Chada, Ajay Jasra, Kody J. H. Law, Sumeetpal S. Singh
2022 J jnl
Online Particle Smoothing With Application to Map-Matching.
IEEE Trans. Signal Process.
Samuel Duffield, Sumeetpal S. Singh
2021 J jnl
Anytime parallel tempering.
Stat. Comput.
Alix Marie d'Avigneau, Sumeetpal S. Singh, Lawrence M. Murray
2021 J jnl
Spatiotemporal blocking of the bouncy particle sampler for efficient inference in state-space models.
Stat. Comput.
Jacob Vorstrup Goldman, Sumeetpal S. Singh
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
2018 J jnl
Model-Based Reinforcement Learning for Sepsis Treatment.
CoRR
Aniruddh Raghu, Matthieu Komorowski, Sumeetpal S. Singh
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
Tracking multiple moving objects in images using Markov Chain Monte Carlo.
Stat. Comput.
Lan Jiang, Sumeetpal S. Singh
2016 J jnl
Tracking multiple moving objects in images using Markov Chain Monte Carlo.
CoRR
Lan Jiang, Sumeetpal S. Singh
2015 J jnl
Bayesian Tracking and Parameter Learning for Non-Linear Multiple Target Tracking Models.
IEEE Trans. Signal Process.
Lan Jiang, Sumeetpal S. Singh, Sinan Yildirim
2015 J jnl
Calibrating the Gaussian multi-target tracking model.
Stat. Comput.
Sinan Yildirim, Lan Jiang, Sumeetpal S. Singh, Thomas Dean
2015 Misc conf
Particle Gibbs with refreshed backward simulation.
ICASSP
Pete Bunch, Fredrik Lindsten, Sumeetpal S. Singh
2015 J jnl
Uniform Stability of a Particle Approximation of the Optimal Filter Derivative.
SIAM J. Control. Optim.
Pierre Del Moral, Arnaud Doucet, Sumeetpal S. Singh
2014 C conf
A new particle filtering algorithm for multiple target tracking with non-linear observations.
FUSION
Lan Jiang, Sumeetpal S. Singh, Sinan Yildirim
2014 J jnl
An Online Expectation-Maximisation Algorithm for Nonnegative Matrix Factorisation Models.
CoRR
Sinan Yildirim, A. Taylan Cemgil, Sumeetpal S. Singh
2013 J jnl
Bayesian Learning of Noisy Markov Decision Processes.
ACM Trans. Model. Comput. Simul.
Sumeetpal S. Singh, Nicolas Chopin, Nick Whiteley
2012 C conf
A Monte Carlo expectation maximisation algorithm for multiple target tracking.
FUSION
Sinan Yildirim, Lan Jiang, Sumeetpal S. Singh, Thomas Dean
2012 J jnl
Bayesian learning of noisy Markov decision processes
CoRR
Sumeetpal S. Singh, Nicolas Chopin, Nick Whiteley
2012 J jnl
Distributed Maximum Likelihood for Simultaneous Self-Localization and Tracking in Sensor Networks.
IEEE Trans. Signal Process.
Nikolaos Kantas, Sumeetpal S. Singh, Arnaud Doucet
2012 J jnl
Distributed Maximum Likelihood for Simultaneous Self-localization and Tracking in Sensor Networks
CoRR
Nikolaos Kantas, Sumeetpal S. Singh, Arnaud Doucet
2012 J jnl
Filtering via approximate Bayesian computation.
Stat. Comput.
Ajay Jasra, Sumeetpal S. Singh, James S. Martin, Emma J. McCoy
2009 J jnl
Filters for Spatial Point Processes.
SIAM J. Control. Optim.
Sumeetpal S. Singh, Ba-Ngu Vo, Adrian J. Baddeley, Sergei A. Zuyev
2007 J jnl
A policy gradient method for semi-Markov decision processes with application to call admission control.
Eur. J. Oper. Res.
Sumeetpal S. Singh, Vladislav Z. B. Tadic, Arnaud Doucet
2007 J jnl
Simulation-based optimal sensor scheduling with application to observer trajectory planning.
Autom.
Sumeetpal S. Singh, Nikolaos Kantas, Ba-Ngu Vo, Arnaud Doucet, Robin J. Evans
2006 C conf
A Distributed Recursive Maximum Likelihood Implementation for Sensor Registration.
FUSION
Nikolaos Kantas, Sumeetpal S. Singh, Arnaud Doucet
2006 C conf
Gradient-free maximum likelihood parameter estimation with particle filters.
ACC
George Poyiadjis, Sumeetpal S. Singh, Arnaud Doucet
2006 — conf
Particle Filter as A Controlled Markov Chain For On-Line Parameter Estimation in General State Space Models.
ICASSP (3)
George Poyiadjis, Sumeetpal S. Singh, Arnaud Doucet
2006 J jnl
Tracking an unknown time-varying number of speakers using TDOA measurements: a random finite set approach.
IEEE Trans. Signal Process.
Wing-Kin Ma, Ba-Ngu Vo, Sumeetpal S. Singh, Adrian J. Baddeley
2005 — conf
Localizing an unknown time-varying number of speakers: a Bayesian random finite set approach.
ICASSP (4)
Ba-Ngu Vo, Wing-Kin Ma, Sumeetpal S. Singh
2005 — conf
Particle methods for optimal filter derivative: application to parameter estimation.
ICASSP (5)
George Poyiadjis, Arnaud Doucet, Sumeetpal S. Singh
2005 — conf
Simulation-Based Optimal Sensor Scheduling with Application to Observer Trajectory Planning.
CDC/ECC
Sumeetpal S. Singh, Nikolaos Kantas, Arnaud Doucet, Ba-Ngu Vo, Robin J. Evans
2004 J jnl
Particle methods for change detection, system identification, and control.
Proc. IEEE
Christophe Andrieu, Arnaud Doucet, Sumeetpal S. Singh, Vladislav Z. B. Tadic
2004 B conf
The cross-entropy method for blind multiuser detection.
ISIT
Zaifei Liu, Arnaud Doucet, Sumeetpal S. Singh
2004 — conf
Tracking multiple speakers using random sets.
ICASSP (2)
Ba-Ngu Vo, Sumeetpal S. Singh, Wing-Kin Ma
2003 — conf
Adaptive envelope-constrained filtering.
ICASSP (6)
Ba-Ngu Vo, Sumeetpal S. Singh, Vladislav Z. B. Tadic
2003 — conf
Stochastic approximation for optimal observer trajectory planning.
CDC
Sumeetpal S. Singh, Ba-Ngu Vo, Arnaud Doucet, Robin J. Evans
2003 J jnl
The optimal search for a Markovian target when the search path is constrained: the infinite-horizon case.
IEEE Trans. Autom. Control.
Sumeetpal S. Singh, Vikram Krishnamurthy
2003 C conf
Two time-scale stochastic approximation for constrained stochastic optimization and constrained Markov decision problems.
ACC
Vladislav Z. B. Tadic, Arnaud Doucet, Sumeetpal S. Singh
2002 J jnl
Integrated voice/data call admission control for wireless DS-CDMA systems.
IEEE Trans. Signal Process.
Sumeetpal S. Singh, Vikram Krishnamurthy, H. Vincent Poor
2002 Misc conf
Optimal call access control for DS-CDMA cellular networks.
ICASSP
Sumeetpal S. Singh, Vikram Krishnamurthy
2001 J jnl
Adaptive step-size algorithms for blind interference suppression in DS/CDMA systems.
IEEE Trans. Signal Process.
Vikram Krishnamurthy, Gang George Yin, Sumeetpal S. Singh
2001 B conf
Admission control for DS-CDMA systems with fading.
GLOBECOM
Sumeetpal S. Singh, Vikram Krishnamurthy, H. Vincent Poor
2001 — conf
Partially observed stochastic shortest path problem - application to sequential paging in cellular networks.
CDC
Sumeetpal S. Singh, Vikram Krishnamurthy
2000 Misc conf
Adaptive forgetting factor recursive least squares for blind interference suppression in DS/CDMA systems.
ICASSP
Vikram Krishnamurthy, Sumeetpal S. Singh
2000 B conf
Sequential paging of mobile users in GSM cellular networks-a POMDP approach.
GLOBECOM
Vikram Krishnamurthy, Sumeetpal S. Singh