activity
20162026
most citedAdaSwarm: Augmenting Gradient-Based optimizers in Deep Learning with Swarm Intelligence

27 citations · 41 across the 16 of their papers we have counts for

collaborators

17 papers

astro-ph.GA2026

Decoupling candidate dual AGN from chance superpositions in the GOTHIC survey via a deep-learning framework

Bhavesh Mukheja, Snehanshu Saha, Anwesh Bhattacharya +3

Dual active galactic nuclei (DAGN) mark a critical phase in the evolution of merging galaxies and the pairing of supermassive black holes, yet they remain difficult to identify in…

astro-ph.GA2026

The Cosmic Ultraviolet Background at the Galactic Poles

Jayant Murthy, James Overduin, Raj Manas +3

We have used archival GALEX data to separate the cosmic ultraviolet background at the Galactic Poles into two components: the dust scattered light and an offset. We have modeled th…

astro-ph.GA2026

Investigating the Spectral Properties of Dual Nuclei in Galaxy Mergers from the GOTHIC survey: Supermassive Black Hole Growth, metal enrichment and Dual AGN

Prerana Biswas, Mousumi Das, Sudhanshu Barway +4

Dual nuclei systems are galaxy merger remnants or closely merging galaxies that have two distinct stellar cores separated by ~ 10pc to 10kpc. They are important laboratories for pr…

astro-ph.IM2025

Deconvolution for Large Astronomical Surveys: A Study of the Scaled Gradient Projection Method on Zwicky Transient Facility Data

Yash Gondhalekar, Richard M. Feder, Matthew J. Graham +4

Ground-based astronomical observations will continue to produce resolution-limited images due to atmospheric seeing. Deconvolution reverses such effects and thus can benefit extrac…

q-bio.BM2023

A novel RNA pseudouridine site prediction model using Utility Kernel and data-driven parameters

Sourabh Patil, Archana Mathur, Raviprasad Aduri +1

RNA protein Interactions (RPIs) play an important role in biological systems. Recently, we have enumerated the RPIs at the residue level and have elucidated the minimum structural…

cs.LG2023★ 1 cited

DeliverAI: Reinforcement Learning Based Distributed Path-Sharing Network for Food Deliveries

Ashman Mehra, Snehanshu Saha, Vaskar Raychoudhury +1

Delivery of items from the producer to the consumer has experienced significant growth over the past decade and has been greatly fueled by the recent pandemic. Amazon Fresh, Shopif…