Publications (23)
Origin of the double-peaked narrow emission-lines in the optical spectra of X-shaped Radio Galaxies
Ghosh Prajnadipt, Ravi Joshi, Xiaolong Yang +13
We investigate X-shaped radio galaxies (XRGs) with optical double-peaked narrow emission lines (DPNELs) as potential hosts of dual or binary supermassive black holes (SMBHs). Using…
Local Convolutions Cause an Implicit Bias towards High Frequency Adversarial Examples
Josue Ortega Caro, Yilong Ju, Ryan Pyle +4
Adversarial Attacks are still a significant challenge for neural networks. Recent work has shown that adversarial perturbations typically contain high-frequency features, but the r…
A multi-purpose reciprocating probe drive system for studying the effect of gas-puffs on edge plasma dynamics in the ADITYA-U tokamak
Kaushlender Singh, Bharat Hegde, Ashok K. Kumawat +24
This article reports the development of a versatile high-speed reciprocating drive system (HRDS) with interchangeable probe heads to characterize the edge plasma region of ADITYA-U…
A Bayesian Perspective of Convolutional Neural Networks through a Deconvolutional Generative Model
Tan Nguyen, Nhat Ho, Ankit Patel +3
Inspired by the success of Convolutional Neural Networks (CNNs) for supervised prediction in images, we design the Deconvolutional Generative Model (DGM), a new probabilistic gener…
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations
Weili Nie, Yang Zhang, Ankit Patel
Backpropagation-based visualizations have been proposed to interpret convolutional neural networks (CNNs), however a theory is missing to justify their behaviors: Guided backpropag…
Identification and Characterization of a New Disruption Regime in ADITYA-U Tokamak
Soumitra Banerjee, Harshita Raj, Sk Injamul Hoque +22
Disruptions continue to pose a significant challenge to the stable operation and future design of tokamak reactors. A comprehensive statistical investigation carried out on the ADI…