Dalia Chakrabarty

According to our database, Dalia Chakrabarty authored at least 6 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A New Reliable & Parsimonious Learning Strategy Comprising Two Layers of Gaussian Processes, to Address Inhomogeneous Empirical Correlation Structures.

Gargi Roy, Dalia Chakrabarty

CoRR, 2024

2023

Automated learning of gravitational mass of elliptical galaxies.

Dalia Chakrabarty

J. Frankl. Inst., February, 2023

Covariance Kernel Learning Schemes for Gaussian Process Based Prediction Using Markov Chain Monte Carlo.

Gargi Roy, Kane Warrior, Dalia Chakrabarty

Proceedings of the Progress in Artificial Intelligence, 2023

2022

Efficient Uncertainty Quantification for Under-Constraint Prediction Following Learning Using MCMC.

Gargi Roy, Dalia Chakrabarty

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.

Dalia Chakrabarty, Nare Gabrielyan, Fabio Rigat, Richard Beanland, Shashi Paul

Technometrics, 2015

Minimum Distance Estimation of Milky Way Model Parameters and Related Inference.

Sourabh Banerjee, Ayanendranath Basu, Sourabh Bhattacharya, Smarajit Bose, Dalia Chakrabarty, Soumendu Sundar Mukherjee

SIAM/ASA J. Uncertain. Quantification, 2015