27 citations · 42 across the 8 of their papers we have counts for
9 papers
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…
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…
Investigating the Bulge Morphology of Dual AGN Host Galaxies from the GOTHIC survey
C. P. Nehal, Mousumi Das, Sudhanshu Barway +4
We present a structural analysis of bulges in dual active galactic nuclei (AGN) host galaxies. Dual AGN arise in galaxy mergers where both supermassive black holes (SMBHs) are acti…
Efficient ML Models for Practical Secure Inference
Vinod Ganesan, Anwesh Bhattacharya, Pratyush Kumar +3
ML-as-a-service continues to grow, and so does the need for very strong privacy guarantees. Secure inference has emerged as a potential solution, wherein cryptographic primitives a…
Encoding Involutory Invariances in Neural Networks
Anwesh Bhattacharya, Marios Mattheakis, Pavlos Protopapas
In certain situations, neural networks are trained upon data that obey underlying symmetries. However, the predictions do not respect the symmetries exactly unless embedded in the…
A Swarm Variant for the Schrödinger Solver
Urvil Nileshbhai Jivani, Omatharv Bharat Vaidya, Anwesh Bhattacharya +1
This paper introduces application of the Exponentially Averaged Momentum Particle Swarm Optimization (EM-PSO) as a derivative-free optimizer for Neural Networks. It adopts PSO's ma…
Fairly Constricted Multi-Objective Particle Swarm Optimization
Anwesh Bhattacharya, Snehanshu Saha, Nithin Nagaraj
It has been well documented that the use of exponentially-averaged momentum (EM) in particle swarm optimization (PSO) is advantageous over the vanilla PSO algorithm. In the single-…
Automated Detection of Double Nuclei Galaxies using GOTHIC and the Discovery of a Large Sample of Dual AGN
Anwesh Bhattacharya, Nehal C. P., Mousumi Das +3
We present a novel algorithm to detect double nuclei galaxies (DNG) called GOTHIC (Graph BOosted iterated HIll Climbing) - that detects whether a given image of a galaxy has two or…
AdaSwarm: Augmenting Gradient-Based optimizers in Deep Learning with Swarm Intelligence
Rohan Mohapatra, Snehanshu Saha, Carlos A. Coello Coello +3
This paper introduces AdaSwarm, a novel gradient-free optimizer which has similar or even better performance than the Adam optimizer adopted in neural networks. In order to support…