Dalia Chakrabarty

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 4

Top Topics

Gaussian Process

Top Venues

SIAM/ASA J. Uncertain. Quantification

J. Frankl. Inst.

Publications

Gargi Roy, Dalia Chakrabarty
A New Reliable & Parsimonious Learning Strategy Comprising Two Layers of Gaussian Processes, to Address Inhomogeneous Empirical Correlation Structures. CoRR (2024)
Gargi Roy, Kane Warrior, Dalia Chakrabarty
Covariance Kernel Learning Schemes for Gaussian Process Based Prediction Using Markov Chain Monte Carlo. EPIA (1) (2023)
Dalia Chakrabarty
Automated learning of gravitational mass of elliptical galaxies. J. Frankl. Inst. 360 (3) (2023)
Gargi Roy, Dalia Chakrabarty
Efficient Uncertainty Quantification for Under-Constraint Prediction Following Learning Using MCMC. ICONIP (4) (2022)
Dalia Chakrabarty, Nare Gabrielyan, Fabio Rigat, Richard Beanland, Shashi Paul
Bayesian Estimation of Density via Multiple Sequential Inversions of Two-Dimensional Images With Application to Electron Microscopy. Technometrics 57 (2) (2015)
Sourabh Banerjee, Ayanendranath Basu, Sourabh Bhattacharya, Smarajit Bose, Dalia Chakrabarty, Soumendu Sundar Mukherjee
Minimum Distance Estimation of Milky Way Model Parameters and Related Inference. SIAM/ASA J. Uncertain. Quantification 3 (1) (2015)