Arkaprabha Ganguli

According to our database, Arkaprabha Ganguli authored at least 6 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Uncovering Physical Drivers of Dark Matter Halo Structures with Auxiliary-Variable-Guided Generative Models.

Arkaprabha Ganguli, Anirban Samaddar, Florian Kéruzoré, Nesar Ramachandra, Julie Bessac, Sandeep Madireddy, Emil M. Constantinescu

CoRR, February, 2026

2025

Enhancing interpretability in generative modeling: statistically disentangled latent spaces guided by generative factors in scientific datasets.

Arkaprabha Ganguli, Nesar Ramachandra, Julie Bessac, Emil M. Constantinescu

Mach. Learn., September, 2025

2024

Error-controlled feature selection for ultrahigh-dimensional and highly correlated feature space using deep learning.

Arkaprabha Ganguli, Tapabrata Maiti, David Todem

Stat. Anal. Data Min., April, 2024

ENNS: Variable Selection, Regression, Classification, and Deep Neural Network for High-Dimensional Data.

Kaixu Yang, Arkaprabha Ganguli, Tapabrata Maiti

J. Mach. Learn. Res., 2024

2023

A Lightweight, Effective Compressibility Estimation Method for Error-bounded Lossy Compression.

Arkaprabha Ganguli, Robert Underwood, Julie Bessac, David Krasowska, Jon C. Calhoun, Sheng Di, Franck Cappello

Proceedings of the IEEE International Conference on Cluster Computing, 2023

2022

Feature Selection integrated Deep Learning for Ultrahigh Dimensional and Highly Correlated Feature Space.

Arkaprabha Ganguli, Tapabrata Maiti

CoRR, 2022