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Sumeetpal S. Singh
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2020 – today
- 2024
- [j23]Santeri Karppinen
, Sumeetpal S. Singh
Conditional Particle Filters with Bridge Backward Sampling. J. Comput. Graph. Stat. 33(2): 364-378 (2024) - 2022
- [j22]Alix Marie d'Avigneau
Limits of Accuracy for Parameter Estimation and Localization in Single-Molecule Microscopy via Sequential Monte Carlo Methods. SIAM J. Imaging Sci. 15(1): 139-171 (2022) - [j21]Samuel Duffield
Online Particle Smoothing With Application to Map-Matching. IEEE Trans. Signal Process. 70: 497-508 (2022) - [i6]Neil K. Chada, Ajay Jasra, Kody J. H. Law, Sumeetpal S. Singh
Multilevel Bayesian Deep Neural Networks. CoRR abs/2203.12961 (2022) - 2021
- [j20]Jacob Vorstrup Goldman, Sumeetpal S. Singh
Spatiotemporal blocking of the bouncy particle sampler for efficient inference in state-space models. Stat. Comput. 31(5): 68 (2021) - [j19]Alix Marie d'Avigneau
Anytime parallel tempering. Stat. Comput. 31(6): 74 (2021)
2010 – 2019
- 2019
- [j18]Jeremie Houssineau, Sumeetpal S. Singh
Identification of MultiObject Dynamical Systems: Consistency and Fisher Information. SIAM J. Control. Optim. 57(4): 2603-2627 (2019) - [j17]Jeremie Houssineau, Ajay Jasra
On Large Lag Smoothing for Hidden Markov Models. SIAM J. Numer. Anal. 57(6): 2812-2828 (2019) - 2018
- [j16]Lan Jiang, Sumeetpal S. Singh
Tracking multiple moving objects in images using Markov Chain Monte Carlo. Stat. Comput. 28(3): 495-510 (2018) - [j15]Jeremie Houssineau
Multilevel Monte Carlo for Smoothing via Transport Methods. SIAM J. Sci. Comput. 40(4): A2315-A2335 (2018) - [i5]Aniruddh Raghu, Matthieu Komorowski, Sumeetpal S. Singh:
Model-Based Reinforcement Learning for Sepsis Treatment. CoRR abs/1811.09602 (2018) - 2016
- [i4]Lan Jiang, Sumeetpal S. Singh:
Tracking multiple moving objects in images using Markov Chain Monte Carlo. CoRR abs/1603.05522 (2016) - 2015
- [j14]Sinan Yildirim
Calibrating the Gaussian multi-target tracking model. Stat. Comput. 25(3): 595-608 (2015) - [j13]Pierre Del Moral, Arnaud Doucet
Uniform Stability of a Particle Approximation of the Optimal Filter Derivative. SIAM J. Control. Optim. 53(3): 1278-1304 (2015) - [j12]Lan Jiang, Sumeetpal S. Singh
Bayesian Tracking and Parameter Learning for Non-Linear Multiple Target Tracking Models. IEEE Trans. Signal Process. 63(21): 5733-5745 (2015) - [c19]Pete Bunch, Fredrik Lindsten, Sumeetpal S. Singh
Particle Gibbs with refreshed backward simulation. ICASSP 2015: 4115-4119 - 2014
- [c18]Lan Jiang, Sumeetpal S. Singh, Sinan Yildirim:
A new particle filtering algorithm for multiple target tracking with non-linear observations. FUSION 2014: 1-8 - [i3]Sinan Yildirim, A. Taylan Cemgil, Sumeetpal S. Singh:
An Online Expectation-Maximisation Algorithm for Nonnegative Matrix Factorisation Models. CoRR abs/1401.2490 (2014) - 2013
- [j11]Sumeetpal S. Singh
Bayesian Learning of Noisy Markov Decision Processes. ACM Trans. Model. Comput. Simul. 23(1): 4:1-4:25 (2013) - 2012
- [j10]Ajay Jasra
Filtering via approximate Bayesian computation. Stat. Comput. 22(6): 1223-1237 (2012) - [j9]Nikolaos Kantas, Sumeetpal S. Singh
Distributed Maximum Likelihood for Simultaneous Self-Localization and Tracking in Sensor Networks. IEEE Trans. Signal Process. 60(10): 5038-5047 (2012) - [c17]Sinan Yildirim, Lan Jiang, Sumeetpal S. Singh, Thomas Dean:
A Monte Carlo expectation maximisation algorithm for multiple target tracking. FUSION 2012: 2094-2101 - [i2]Nikolaos Kantas, Sumeetpal S. Singh, Arnaud Doucet:
Distributed Maximum Likelihood for Simultaneous Self-localization and Tracking in Sensor Networks. CoRR abs/1206.4221 (2012) - [i1]Sumeetpal S. Singh, Nicolas Chopin, Nick Whiteley:
Bayesian learning of noisy Markov decision processes. CoRR abs/1211.5901 (2012)
2000 – 2009
- 2009
- [j8]Sumeetpal S. Singh
Filters for Spatial Point Processes. SIAM J. Control. Optim. 48(4): 2275-2295 (2009) - 2007
- [j7]Sumeetpal S. Singh
Simulation-based optimal sensor scheduling with application to observer trajectory planning. Autom. 43(5): 817-830 (2007) - [j6]Sumeetpal S. Singh
A policy gradient method for semi-Markov decision processes with application to call admission control. Eur. J. Oper. Res. 178(3): 808-818 (2007) - 2006
- [j5]Wing-Kin Ma
Tracking an unknown time-varying number of speakers using TDOA measurements: a random finite set approach. IEEE Trans. Signal Process. 54(9): 3291-3304 (2006) - [c16]George Poyiadjis, Sumeetpal S. Singh
Gradient-free maximum likelihood parameter estimation with particle filters. ACC 2006: 1-6 - [c15]Nikolaos Kantas, Sumeetpal S. Singh
A Distributed Recursive Maximum Likelihood Implementation for Sensor Registration. FUSION 2006: 1-8 - [c14]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: 329-332 - 2005
- [c13]Sumeetpal S. Singh
Simulation-Based Optimal Sensor Scheduling with Application to Observer Trajectory Planning. CDC/ECC 2005: 7296-7301 - [c12]George Poyiadjis, Arnaud Doucet
Particle methods for optimal filter derivative: application to parameter estimation. ICASSP (5) 2005: 925-928 - [c11]Ba-Ngu Vo
Localizing an unknown time-varying number of speakers: a Bayesian random finite set approach. ICASSP (4) 2005: 1073-1076 - 2004
- [j4]Christophe Andrieu, Arnaud Doucet
Particle methods for change detection, system identification, and control. Proc. IEEE 92(3): 423-438 (2004) - [c10]Ba-Ngu Vo, Sumeetpal S. Singh, Wing-Kin Ma
Tracking multiple speakers using random sets. ICASSP (2) 2004: 357-360 - [c9]Zaifei Liu, Arnaud Doucet, Sumeetpal S. Singh:
The cross-entropy method for blind multiuser detection. ISIT 2004: 510 - 2003
- [j3]Sumeetpal S. Singh
The optimal search for a Markovian target when the search path is constrained: the infinite-horizon case. IEEE Trans. Autom. Control. 48(3): 493-497 (2003) - [c8]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: 4736-4741 - [c7]Sumeetpal S. Singh
Stochastic approximation for optimal observer trajectory planning. CDC 2003: 6313-6318 - [c6]Ba-Ngu Vo, Sumeetpal S. Singh
Adaptive envelope-constrained filtering. ICASSP (6) 2003: 345-348 - 2002
- [j2]Sumeetpal S. Singh
Integrated voice/data call admission control for wireless DS-CDMA systems. IEEE Trans. Signal Process. 50(6): 1483-1495 (2002) - [c5]Sumeetpal S. Singh
Optimal call access control for DS-CDMA cellular networks. ICASSP 2002: 2749-2752 - 2001
- [j1]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): 190-201 (2001) - [c4]Sumeetpal S. Singh, Vikram Krishnamurthy:
Partially observed stochastic shortest path problem - application to sequential paging in cellular networks. CDC 2001: 1053-1058 - [c3]Sumeetpal S. Singh, Vikram Krishnamurthy, H. Vincent Poor:
Admission control for DS-CDMA systems with fading. GLOBECOM 2001: 705-710 - 2000
- [c2]Vikram Krishnamurthy, Sumeetpal S. Singh:
Sequential paging of mobile users in GSM cellular networks-a POMDP approach. GLOBECOM 2000: 182-187 - [c1]Vikram Krishnamurthy, Sumeetpal S. Singh
Adaptive forgetting factor recursive least squares for blind interference suppression in DS/CDMA systems. ICASSP 2000: 2469-2472
Coauthor Index
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