838 citations · 959 across the 11 of their papers we have counts for
14 papers
A Survey on Serverless Computing
Jacob John, Shashank Gupta
The Internet is responsible for accelerating growth in several fields such as digital media, healthcare, the military. Furthermore, the Internet was founded on the principle of all…
Performance of Dense Coding and Teleportation for Random States --Augmentation via Pre-processing
Rivu Gupta, Shashank Gupta, Shiladitya Mal +1
In order to understand the resourcefulness of a natural quantum system in quantum communication tasks, we study the dense coding capacity (DCC) and teleportation fidelity (TF) of H…
Distillation of genuine tripartite Einstein-Podolsky-Rosen steering
Shashank Gupta, Debarshi Das, A. S. Majumdar
We show that a perfectly genuine tripartite EPR steerable assemblage can be distilled from partially genuine tripartite EPR steerable assemblages. In particular, we consider two ty…
Feature Extraction Functions for Neural Logic Rule Learning
Shashank Gupta, Antonio Robles-Kelly, Mohamed Reda Bouadjenek
Combining symbolic human knowledge with neural networks provides a rule-based ante-hoc explanation of the output. In this paper, we propose feature extracting functions for integra…
IITK-RSA at SemEval-2020 Task 5: Detecting Counterfactuals
Anirudh Anil Ojha, Rohin Garg, Shashank Gupta +1
This paper describes our efforts in tackling Task 5 of SemEval-2020. The task involved detecting a class of textual expressions known as counterfactuals and separating them into th…
Genuine Einstein-Podolsky-Rosen steering of three-qubit states by multiple sequential observers
Shashank Gupta, Ananda G. Maity, Debarshi Das +2
We investigate the possibility of multiple use of a single copy of three-qubit states for genuine tripartite Einstein-Podolsky-Rosen (EPR) steering. A pure three-qubit state of eit…
Constructive Feedback of Non-Markovianity on Resources in Random Quantum States
Rivu Gupta, Shashank Gupta, Shiladitya Mal +1
We explore the impact of non-Markovian channels on the quantum correlations (QCs) of Haar uniformly generated random two-qubit input states with different ranks -- either one of th…
CIMTDetect: A Community Infused Matrix-Tensor Coupled Factorization Based Method for Fake News Detection
Shashank Gupta, Raghuveer Thirukovalluru, Manjira Sinha +1
Detecting whether a news article is fake or genuine is a crucial task in today's digital world where it's easy to create and spread a misleading news article. This is especially tr…
Preservation of quantum non-bilocal correlations in noisy entanglement-swapping experiments using weak measurements
Shashank Gupta, Shounak Datta, A. S. Majumdar
A tripartite quantum network is said to be bilocal if two independent sources produce a pair of bipartite entangled states. Quantum non-bilocal correlation emerges when the central…
Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets
Shashank Gupta, Manish Gupta, Vasudeva Varma +3
Adverse drug reactions (ADRs) are one of the leading causes of mortality in health care. Current ADR surveillance systems are often associated with a substantial time lag before su…
Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets
Shashank Gupta, Manish Gupta, Vasudeva Varma +3
Adverse drug reactions (ADRs) are one of the leading causes of mortality in health care. Current ADR surveillance systems are often associated with a substantial time lag before su…
Semi-Supervised Recurrent Neural Network for Adverse Drug Reaction Mention Extraction
Shashank Gupta, Sachin Pawar, Nitin Ramrakhiyani +2
Social media is an useful platform to share health-related information due to its vast reach. This makes it a good candidate for public-health monitoring tasks, specifically for ph…
Simultaneous Inference of User Representations and Trust
Shashank Gupta, Pulkit Parikh, Manish Gupta +1
Inferring trust relations between social media users is critical for a number of applications wherein users seek credible information. The fact that available trust relations are s…
Deep Learning for Hate Speech Detection in Tweets
Pinkesh Badjatiya, Shashank Gupta, Manish Gupta +1
Hate speech detection on Twitter is critical for applications like controversial event extraction, building AI chatterbots, content recommendation, and sentiment analysis. We defin…