Dalia Chakrabarty
Orcid: 0000-0003-1246-4235
According to our database1,
Dalia Chakrabarty authored at least 11 papers
between 2015 and 2026.
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Bibliography
2026
Gaussian Process-based learning with new MCMC-based implementation of Wishart prior on correlation matrix.
CoRR, May, 2026
Interpretable Machine Learning for Spatial Science: A Lie-Algebraic Kernel for Rotationally Anisotropic Gaussian Processes.
CoRR, May, 2026
2025
Parametrising the Inhomogeneity Inducing Capacity of a Training Set, and its Impact on Supervised Learning.
CoRR, October, 2025
Identifying critical residues of a protein using meaningfully-thresholded Random Geometric Graphs.
CoRR, June, 2025
2024
A New Reliable & Parsimonious Learning Strategy Comprising Two Layers of Gaussian Processes, to Address Inhomogeneous Empirical Correlation Structures.
CoRR, 2024
Individualised recovery trajectories of patients with impeded mobility, using distance between probability distributions of learnt graphs.
Artif. Intell. Medicine, 2024
2023
J. Frankl. Inst., February, 2023
Covariance Kernel Learning Schemes for Gaussian Process Based Prediction Using Markov Chain Monte Carlo.
Proceedings of the Progress in Artificial Intelligence, 2023
2022
Efficient Uncertainty Quantification for Under-Constraint Prediction Following Learning Using MCMC.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
2015
Bayesian Estimation of Density via Multiple Sequential Inversions of Two-Dimensional Images With Application to Electron Microscopy.
Technometrics, 2015
SIAM/ASA J. Uncertain. Quantification, 2015