activity
19992026
most citedSelf Calibration in Cluster Studies of Dark Energy: Combining the Cluster Redshift Distribution, the Power Spectrum and Mass Measurements

220 citations · 1.3k across the 62 of their papers we have counts for

collaborators

63 papers

astro-ph.GA2026

Disentangling Stellar Mass and Environmental Effects on eROSITA AGN Activity using multi-wavelength data from GAMA, WISE, GALEX, and DESI Legacy Survey

Navya Saraswat, Shadab Alam, Subhabrata Majumdar

We use a stellar-mass complete sample of galaxies from GAMA/eFEDS to test whether AGN activity depends on environment independent of stellar mass. To isolate this e…

cs.CL2023★ 4 cited

Semantic Consistency for Assuring Reliability of Large Language Models

Harsh Raj, Vipul Gupta, Domenic Rosati +1

Large Language Models (LLMs) exhibit remarkable fluency and competence across various natural language tasks. However, recent research has highlighted their sensitivity to variatio…

cs.CR2022

Network Security Modelling with Distributional Data

Subhabrata Majumdar, Ganesh Subramaniam

We investigate the detection of botnet command and control (C2) hosts in massive IP traffic using machine learning methods. To this end, we use NetFlow data -- the industry standar…

stat.AP2022★ 1 cited

Towards Algorithmic Fairness in Space-Time: Filling in Black Holes

Cheryl Flynn, Aritra Guha, Subhabrata Majumdar +2

New technologies and the availability of geospatial data have drawn attention to spatio-temporal biases present in society. For example: the COVID-19 pandemic highlighted dispariti…

astro-ph.CO2022★ 17 cited

Exploring diffuse radio emission in galaxy clusters and groups with the uGMRT and the SKA

Surajit Paul, Ruta Kale, Abhirup Datta +13

Diffuse radio emission has been detected in a considerable number of galaxy clusters and groups, revealing the presence of pervasive cosmic magnetic fields, and of relativistic par…

cs.CL2022★ 9 cited

Measuring Reliability of Large Language Models through Semantic Consistency

Harsh Raj, Domenic Rosati, Subhabrata Majumdar

While large pretrained language models (PLMs) demonstrate incredible fluency and performance on many natural language tasks, recent work has shown that well-performing PLMs are ver…