Sumeetpal S. Singh

Computer Science · Physical Sciences

30h-index4.8kcitations159works0.12yr avg
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Research Topics

Target Tracking and Data Fusion in Sensor Networks(65), Bayesian Methods and Mixture Models(40), Gaussian Processes and Bayesian Inference(38), Markov Chains and Monte Carlo Methods(28), Distributed Sensor Networks and Detection Algorithms(18)

Publications153 total

Spatio-temporal modeling and forecasting with Fourier neural operators
arXiv (Cornell University)·2026Open Access
Spatio-temporal modeling and forecasting with Fourier neural operators
ArXiv.org·2026Open Access
Mixing time of the conditional backward sampling particle filter
Journal of the Royal Statistical Society Series B (Statistical Methodology)·2025Open Access
Bayesian Deep Learning with Multilevel Trace-Class Neural Networks
SIAM Journal on Mathematics of Data Science·2025Open Access
Smooth Trajectory Generation for Gap Traversal by UAVs
2025
Bayesian learning of the optimal action-value function in a Markov decision process
arXiv (Cornell University)·2025Open Access
The lost pirate code of the late 17th century: Articles of agreement and fundamental principles of Henry Every’s Gang
LOCUS people society cultures meaning·2025Open Access
Towards a turnkey approach for unbiased Monte Carlo estimation of smooth functions of expectations
Biometrika·2025Open Access
Enhancing multi-sectoral collaborations for the prevention and control of NCDs in Thailand with a new approach
Health Research Policy and Systems·2024· 1 citedOpen Access
Towards a turnkey approach to unbiased Monte Carlo estimation of smooth functions of expectations
arXiv (Cornell University)·2024Open Access
Mixing time of the conditional backward sampling particle filter
arXiv (Cornell University)·2023· 1 citedOpen Access
PB0564 Evaluation of the Significance of Mixing Study in Lupus Anticoagulant Testing Using A New CMC Algorithm
Research and Practice in Thrombosis and Haemostasis·2023Open Access
On the Forgetting of Particle Filters
arXiv (Cornell University)·2023· 1 citedOpen Access
Conditional Particle Filters with Bridge Backward Sampling
Journal of Computational and Graphical Statistics·2023· 6 citedOpen Access
Trace-class Gaussian priors for Bayesian learning of neural networks with MCMC
Journal of the Royal Statistical Society Series B (Statistical Methodology)·2023· 3 citedOpen Access
Conditional particle filters with bridge backward sampling
Figshare·2023Open Access
Conditional Particle Filters with Bridge Backward Sampling
Figshare·2023Open Access
De-biasing Particle Filtering for a Continuous Time Hidden Markov Model With a Cox Process Observation Model
Statistica Sinica·2023Open Access
On resampling schemes for particle filters with weakly informative observations
The Annals of Statistics·2022· 1 citedOpen Access
Quasi-Newton Sequential Monte Carlo
arXiv (Cornell University)·2022Open Access
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Frequent Co-authors

Randal Douc(20), Ba‐Ngu Vo(13), Nikolas Kantas(4), G. Poyiadjis(4), David Barber(4), Nick Whiteley(4), Ajay Jasra(4), Kusha Panta(3), Simon Godsill(3), Vikram Krishnamurthy(3), Pierre Del Moral(3), Sinan Yıldırım(3), Vladislav B. Tadić(2), J.M. Maciejowski(2), Wing‐Kin Ma(2), Adrian Baddeley(2), James S. Martin(2), Emma J. McCoy(2), Thomas A. Dean(2), Robin J. Evans(2)