Search Results for author: Arnab Bhattacharya

Found 18 papers, 7 papers with code

Chandojnanam: A Sanskrit Meter Identification and Utilization System

1 code implementation29 Sep 2022 Hrishikesh Terdalkar, Arnab Bhattacharya

We present Chandoj\~n\=anam, a web-based Sanskrit meter (Chanda) identification and utilization system.

Optical Character Recognition

Recommendation of Compatible Outfits Conditioned on Style

no code implementations30 Mar 2022 Debopriyo Banerjee, Lucky Dhakad, Harsh Maheshwari, Muthusamy Chelliah, Niloy Ganguly, Arnab Bhattacharya

Recommendation in the fashion domain has seen a recent surge in research in various areas, for example, shop-the-look, context-aware outfit creation, personalizing outfit creation, etc.

Koopman-based Differentiable Predictive Control for the Dynamics-Aware Economic Dispatch Problem

1 code implementation16 Mar 2022 Ethan King, Jan Drgona, Aaron Tuor, Shrirang Abhyankar, Craig Bakker, Arnab Bhattacharya, Draguna Vrabie

The dynamics-aware economic dispatch (DED) problem embeds low-level generator dynamics and operational constraints to enable near real-time scheduling of generation units in a power network.

Semantic Annotation and Querying Framework based on Semi-structured Ayurvedic Text

no code implementations1 Feb 2022 Hrishikesh Terdalkar, Arnab Bhattacharya, Madhulika Dubey, Ramamurthy S, Bhavna Naneria Singh

Knowledge bases (KB) are an important resource in a number of natural language processing (NLP) and information retrieval (IR) tasks, such as semantic search, automated question-answering etc.

Information Retrieval Question Answering +1

Predictions of Reynolds and Nusselt numbers in turbulent convection using machine-learning models

no code implementations10 Jan 2022 Shashwat Bhattacharya, Mahendra K Verma, Arnab Bhattacharya

We observe that although the predictions of all the models are quite close to each other, the machine learning models developed in this work provide the best match with the experimental and numerical results.

BIG-bench Machine Learning regression

Task and Model Agnostic Adversarial Attack on Graph Neural Networks

no code implementations25 Dec 2021 Kartik Sharma, Samidha Verma, Sourav Medya, Sayan Ranu, Arnab Bhattacharya

Graph neural networks (GNNs) have witnessed significant adoption in the industry owing to impressive performance on various predictive tasks.

Adversarial Attack Q-Learning

Semantic Segmentation of Legal Documents via Rhetorical Roles

1 code implementation3 Dec 2021 Vijit Malik, Rishabh Sanjay, Shouvik Kumar Guha, Angshuman Hazarika, Shubham Nigam, Arnab Bhattacharya, Ashutosh Modi

For automatically segmenting the legal documents, we experiment with the task of rhetorical role prediction: given a document, predict the text segments corresponding to various roles.

Semantic Segmentation

Sangrahaka: A Tool for Annotating and Querying Knowledge Graphs

1 code implementation6 Jul 2021 Hrishikesh Terdalkar, Arnab Bhattacharya

The application is language and corpus agnostic, but can be tuned for special needs of a specific language or a corpus.

Knowledge Graphs Natural Language Queries

Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads

no code implementations21 Mar 2021 Milan Jain, Soumya Kundu, Arnab Bhattacharya, Sen Huang, Vikas Chandan, Nikitha Radhakrishnan, Veronica Adetola, Draguna Vrabie

For effective integration of building operations into the evolving demand response programs of the power grid, real-time decisions concerning the use of building appliances for grid services must excel on multiple criteria, ranging from the added value to occupants' comfort to the quality of the grid services.

Automated Adversary Emulation for Cyber-Physical Systems via Reinforcement Learning

no code implementations9 Nov 2020 Arnab Bhattacharya, Thiagarajan Ramachandran, Sandeep Banik, Chase P. Dowling, Shaunak D. Bopardikar

Adversary emulation is an offensive exercise that provides a comprehensive assessment of a system's resilience against cyber attacks.

reinforcement-learning

GraphReach: Position-Aware Graph Neural Network using Reachability Estimations

1 code implementation19 Aug 2020 Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya, Sayan Ranu

In this paper, we develop GraphReach, a position-aware inductive GNN that captures the global positions of nodes through reachability estimations with respect to a set of anchor nodes.

Link Prediction Node Classification

C-MI-GAN : Estimation of Conditional Mutual Information using MinMax formulation

no code implementations17 May 2020 Arnab Kumar Mondal, Arnab Bhattacharya, Sudipto Mukherjee, Prathosh AP, Sreeram Kannan, Himanshu Asnani

Estimation of information theoretic quantities such as mutual information and its conditional variant has drawn interest in recent times owing to their multifaceted applications.

Evolution of the Modern Phase of Written Bangla: A Statistical Study

no code implementations6 Oct 2013 Paheli Bhattacharya, Arnab Bhattacharya

Active languages such as Bangla (or Bengali) evolve over time due to a variety of social, cultural, economic, and political issues.

Constraint Satisfaction over Generalized Staircase Constraints

no code implementations18 Apr 2013 Shubhadip Mitra, Partha Dutta, Arnab Bhattacharya

In this paper, we introduce generalized staircase (GS) constraints which is an important generalization of one such tractable class found in the literature, namely, staircase constraints.

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