Sumeetpal S. Singh

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 16

Top Topics

Monte Carlo Methods

Parameter Estimation

Target Tracking

Top Venues

IEEE Trans. Signal Process.

SIAM J. Control. Optim.

Publications

Santeri Karppinen, Sumeetpal S. Singh, Matti Vihola
Conditional Particle Filters with Bridge Backward Sampling. J. Comput. Graph. Stat. 33 (2) (2024)
Alix Marie d'Avigneau, Sumeetpal S. Singh, Raimund J. Ober
Limits of Accuracy for Parameter Estimation and Localization in Single-Molecule Microscopy via Sequential Monte Carlo Methods. SIAM J. Imaging Sci. 15 (1) (2022)
Neil K. Chada, Ajay Jasra, Kody J. H. Law, Sumeetpal S. Singh
Multilevel Bayesian Deep Neural Networks. CoRR (2022)
Samuel Duffield, Sumeetpal S. Singh
Online Particle Smoothing With Application to Map-Matching. IEEE Trans. Signal Process. 70 (2022)
Alix Marie d'Avigneau, Sumeetpal S. Singh, Lawrence M. Murray
Anytime parallel tempering. Stat. Comput. 31 (6) (2021)
Jacob Vorstrup Goldman, Sumeetpal S. Singh
Spatiotemporal blocking of the bouncy particle sampler for efficient inference in state-space models. Stat. Comput. 31 (5) (2021)
Jeremie Houssineau, Sumeetpal S. Singh, Ajay Jasra
Identification of MultiObject Dynamical Systems: Consistency and Fisher Information. SIAM J. Control. Optim. 57 (4) (2019)
Jeremie Houssineau, Ajay Jasra, Sumeetpal S. Singh
On Large Lag Smoothing for Hidden Markov Models. SIAM J. Numer. Anal. 57 (6) (2019)
Jeremie Houssineau, Ajay Jasra, Sumeetpal S. Singh
Multilevel Monte Carlo for Smoothing via Transport Methods. SIAM J. Sci. Comput. 40 (4) (2018)
Aniruddh Raghu, Matthieu Komorowski, Sumeetpal S. Singh
Model-Based Reinforcement Learning for Sepsis Treatment. CoRR (2018)
Lan Jiang, Sumeetpal S. Singh
Tracking multiple moving objects in images using Markov Chain Monte Carlo. Stat. Comput. 28 (3) (2018)
Lan Jiang, Sumeetpal S. Singh
Tracking multiple moving objects in images using Markov Chain Monte Carlo. CoRR (2016)
Sinan Yildirim, Lan Jiang, Sumeetpal S. Singh, Thomas Dean
Calibrating the Gaussian multi-target tracking model. Stat. Comput. 25 (3) (2015)
Lan Jiang, Sumeetpal S. Singh, Sinan Yildirim
Bayesian Tracking and Parameter Learning for Non-Linear Multiple Target Tracking Models. IEEE Trans. Signal Process. 63 (21) (2015)
Pete Bunch, Fredrik Lindsten, Sumeetpal S. Singh
Particle Gibbs with refreshed backward simulation. ICASSP (2015)
Pierre Del Moral, Arnaud Doucet, Sumeetpal S. Singh
Uniform Stability of a Particle Approximation of the Optimal Filter Derivative. SIAM J. Control. Optim. 53 (3) (2015)
Sinan Yildirim, A. Taylan Cemgil, Sumeetpal S. Singh
An Online Expectation-Maximisation Algorithm for Nonnegative Matrix Factorisation Models. CoRR (2014)
Lan Jiang, Sumeetpal S. Singh, Sinan Yildirim
A new particle filtering algorithm for multiple target tracking with non-linear observations. FUSION (2014)
Sumeetpal S. Singh, Nicolas Chopin, Nick Whiteley
Bayesian Learning of Noisy Markov Decision Processes. ACM Trans. Model. Comput. Simul. 23 (1) (2013)
Nikolaos Kantas, Sumeetpal S. Singh, Arnaud Doucet
Distributed Maximum Likelihood for Simultaneous Self-Localization and Tracking in Sensor Networks. IEEE Trans. Signal Process. 60 (10) (2012)
Nikolaos Kantas, Sumeetpal S. Singh, Arnaud Doucet
Distributed Maximum Likelihood for Simultaneous Self-localization and Tracking in Sensor Networks CoRR (2012)
Sumeetpal S. Singh, Nicolas Chopin, Nick Whiteley
Bayesian learning of noisy Markov decision processes CoRR (2012)
Ajay Jasra, Sumeetpal S. Singh, James S. Martin, Emma J. McCoy
Filtering via approximate Bayesian computation. Stat. Comput. 22 (6) (2012)
Sinan Yildirim, Lan Jiang, Sumeetpal S. Singh, Thomas Dean
A Monte Carlo expectation maximisation algorithm for multiple target tracking. FUSION (2012)
Sumeetpal S. Singh, Ba-Ngu Vo, Adrian J. Baddeley, Sergei A. Zuyev
Filters for Spatial Point Processes. SIAM J. Control. Optim. 48 (4) (2009)
Sumeetpal S. Singh, Nikolaos Kantas, Ba-Ngu Vo, Arnaud Doucet, Robin J. Evans
Simulation-based optimal sensor scheduling with application to observer trajectory planning. Autom. 43 (5) (2007)
Sumeetpal S. Singh, Vladislav Z. B. Tadic, Arnaud Doucet
A policy gradient method for semi-Markov decision processes with application to call admission control. Eur. J. Oper. Res. 178 (3) (2007)
George Poyiadjis, Sumeetpal S. Singh, Arnaud Doucet
Particle Filter as A Controlled Markov Chain For On-Line Parameter Estimation in General State Space Models. ICASSP (3) (2006)
Nikolaos Kantas, Sumeetpal S. Singh, Arnaud Doucet
A Distributed Recursive Maximum Likelihood Implementation for Sensor Registration. FUSION (2006)
George Poyiadjis, Sumeetpal S. Singh, Arnaud Doucet
Gradient-free maximum likelihood parameter estimation with particle filters. ACC (2006)
Wing-Kin Ma, Ba-Ngu Vo, Sumeetpal S. Singh, Adrian J. Baddeley
Tracking an unknown time-varying number of speakers using TDOA measurements: a random finite set approach. IEEE Trans. Signal Process. 54 (9) (2006)
Sumeetpal S. Singh, Nikolaos Kantas, Arnaud Doucet, Ba-Ngu Vo, Robin J. Evans
Simulation-Based Optimal Sensor Scheduling with Application to Observer Trajectory Planning. CDC/ECC (2005)
George Poyiadjis, Arnaud Doucet, Sumeetpal S. Singh
Particle methods for optimal filter derivative: application to parameter estimation. ICASSP (5) (2005)
Ba-Ngu Vo, Wing-Kin Ma, Sumeetpal S. Singh
Localizing an unknown time-varying number of speakers: a Bayesian random finite set approach. ICASSP (4) (2005)
Ba-Ngu Vo, Sumeetpal S. Singh, Wing-Kin Ma
Tracking multiple speakers using random sets. ICASSP (2) (2004)
Christophe Andrieu, Arnaud Doucet, Sumeetpal S. Singh, Vladislav Z. B. Tadic
Particle methods for change detection, system identification, and control. Proc. IEEE 92 (3) (2004)
Zaifei Liu, Arnaud Doucet, Sumeetpal S. Singh
The cross-entropy method for blind multiuser detection. ISIT (2004)
Vladislav Z. B. Tadic, Arnaud Doucet, Sumeetpal S. Singh
Two time-scale stochastic approximation for constrained stochastic optimization and constrained Markov decision problems. ACC (2003)
Sumeetpal S. Singh, Vikram Krishnamurthy
The optimal search for a Markovian target when the search path is constrained: the infinite-horizon case. IEEE Trans. Autom. Control. 48 (3) (2003)
Ba-Ngu Vo, Sumeetpal S. Singh, Vladislav Z. B. Tadic
Adaptive envelope-constrained filtering. ICASSP (6) (2003)
Sumeetpal S. Singh, Ba-Ngu Vo, Arnaud Doucet, Robin J. Evans
Stochastic approximation for optimal observer trajectory planning. CDC (2003)
Sumeetpal S. Singh, Vikram Krishnamurthy
Optimal call access control for DS-CDMA cellular networks. ICASSP (2002)
Sumeetpal S. Singh, Vikram Krishnamurthy, H. Vincent Poor
Integrated voice/data call admission control for wireless DS-CDMA systems. IEEE Trans. Signal Process. 50 (6) (2002)
Sumeetpal S. Singh, Vikram Krishnamurthy, H. Vincent Poor
Admission control for DS-CDMA systems with fading. GLOBECOM (2001)
Vikram Krishnamurthy, Gang George Yin, Sumeetpal S. Singh
Adaptive step-size algorithms for blind interference suppression in DS/CDMA systems. IEEE Trans. Signal Process. 49 (1) (2001)
Sumeetpal S. Singh, Vikram Krishnamurthy
Partially observed stochastic shortest path problem - application to sequential paging in cellular networks. CDC (2001)
Vikram Krishnamurthy, Sumeetpal S. Singh
Sequential paging of mobile users in GSM cellular networks-a POMDP approach. GLOBECOM (2000)
Vikram Krishnamurthy, Sumeetpal S. Singh
Adaptive forgetting factor recursive least squares for blind interference suppression in DS/CDMA systems. ICASSP (2000)