Sumeetpal S. Singh

Orcid: 0000-0002-5430-1496

According to our database1, Sumeetpal S. Singh authored at least 44 papers between 2000 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Conditional Particle Filters with Bridge Backward Sampling.
J. Comput. Graph. Stat., 2024

2022
Online Particle Smoothing With Application to Map-Matching.
IEEE Trans. Signal Process., 2022

Limits of Accuracy for Parameter Estimation and Localization in Single-Molecule Microscopy via Sequential Monte Carlo Methods.
SIAM J. Imaging Sci., 2022

Multilevel Bayesian Deep Neural Networks.
CoRR, 2022

2021
Anytime parallel tempering.
Stat. Comput., 2021

Spatiotemporal blocking of the bouncy particle sampler for efficient inference in state-space models.
Stat. Comput., 2021

2019
On Large Lag Smoothing for Hidden Markov Models.
SIAM J. Numer. Anal., 2019

Identification of MultiObject Dynamical Systems: Consistency and Fisher Information.
SIAM J. Control. Optim., 2019

2018
Multilevel Monte Carlo for Smoothing via Transport Methods.
SIAM J. Sci. Comput., 2018

Tracking multiple moving objects in images using Markov Chain Monte Carlo.
Stat. Comput., 2018

Model-Based Reinforcement Learning for Sepsis Treatment.
CoRR, 2018

2015
Bayesian Tracking and Parameter Learning for Non-Linear Multiple Target Tracking Models.
IEEE Trans. Signal Process., 2015

Uniform Stability of a Particle Approximation of the Optimal Filter Derivative.
SIAM J. Control. Optim., 2015

Calibrating the Gaussian multi-target tracking model.
Stat. Comput., 2015

Particle Gibbs with refreshed backward simulation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

2014
An Online Expectation-Maximisation Algorithm for Nonnegative Matrix Factorisation Models.
CoRR, 2014

A new particle filtering algorithm for multiple target tracking with non-linear observations.
Proceedings of the 17th International Conference on Information Fusion, 2014

2013
Bayesian Learning of Noisy Markov Decision Processes.
ACM Trans. Model. Comput. Simul., 2013

2012
Distributed Maximum Likelihood for Simultaneous Self-Localization and Tracking in Sensor Networks.
IEEE Trans. Signal Process., 2012

Filtering via approximate Bayesian computation.
Stat. Comput., 2012

A Monte Carlo expectation maximisation algorithm for multiple target tracking.
Proceedings of the 15th International Conference on Information Fusion, 2012

2009
Filters for Spatial Point Processes.
SIAM J. Control. Optim., 2009

2007
A policy gradient method for semi-Markov decision processes with application to call admission control.
Eur. J. Oper. Res., 2007

Simulation-based optimal sensor scheduling with application to observer trajectory planning.
Autom., 2007

2006
Tracking an unknown time-varying number of speakers using TDOA measurements: a random finite set approach.
IEEE Trans. Signal Process., 2006

Particle Filter as A Controlled Markov Chain For On-Line Parameter Estimation in General State Space Models.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

A Distributed Recursive Maximum Likelihood Implementation for Sensor Registration.
Proceedings of the 9th International Conference on Information Fusion, 2006

Gradient-free maximum likelihood parameter estimation with particle filters.
Proceedings of the American Control Conference, 2006

2005
Localizing an unknown time-varying number of speakers: a Bayesian random finite set approach.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Particle methods for optimal filter derivative: application to parameter estimation.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

2004
Particle methods for change detection, system identification, and control.
Proc. IEEE, 2004

The cross-entropy method for blind multiuser detection.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

Tracking multiple speakers using random sets.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
The optimal search for a Markovian target when the search path is constrained: the infinite-horizon case.
IEEE Trans. Autom. Control., 2003

Adaptive envelope-constrained filtering.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Stochastic approximation for optimal observer trajectory planning.
Proceedings of the 42nd IEEE Conference on Decision and Control, 2003

Two time-scale stochastic approximation for constrained stochastic optimization and constrained Markov decision problems.
Proceedings of the American Control Conference, 2003

2002
Integrated voice/data call admission control for wireless DS-CDMA systems.
IEEE Trans. Signal Process., 2002

Optimal call access control for DS-CDMA cellular networks.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Adaptive step-size algorithms for blind interference suppression in DS/CDMA systems.
IEEE Trans. Signal Process., 2001

Admission control for DS-CDMA systems with fading.
Proceedings of the Global Telecommunications Conference, 2001

Partially observed stochastic shortest path problem - application to sequential paging in cellular networks.
Proceedings of the 40th IEEE Conference on Decision and Control, 2001

2000
Adaptive forgetting factor recursive least squares for blind interference suppression in DS/CDMA systems.
Proceedings of the IEEE International Conference on Acoustics, 2000

Sequential paging of mobile users in GSM cellular networks-a POMDP approach.
Proceedings of the Global Telecommunications Conference, 2000. GLOBECOM 2000, San Francisco, CA, USA, 27 November, 2000


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