5 citations · 10 across the 8 of their papers we have counts for
8 papers
Framework for Question-Answering in Sanskrit through Automated Construction of Knowledge Graphs
Hrishikesh Terdalkar, Arnab Bhattacharya
Sanskrit (sa\d{m}sk\d{r}ta) enjoys one of the largest and most varied literature in the whole world. Extracting the knowledge from it, however, is a challenging task due to multipl…
Occupancy-Driven Stochastic Decision Framework for Ranking Commercial Building Loads
Milan Jain, Soumya Kundu, Arnab Bhattacharya +5
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 gri…
Automated Adversary Emulation for Cyber-Physical Systems via Reinforcement Learning
Arnab Bhattacharya, Thiagarajan Ramachandran, Sandeep Banik +2
Adversary emulation is an offensive exercise that provides a comprehensive assessment of a system's resilience against cyber attacks. However, adversary emulation is typically a ma…
GraphReach: Position-Aware Graph Neural Network using Reachability Estimations
Sunil Nishad, Shubhangi Agarwal, Arnab Bhattacharya +1
Majority of the existing graph neural networks (GNN) learn node embeddings that encode their local neighborhoods but not their positions. Consequently, two nodes that are vastly di…
How and Why is An Answer (Still) Correct? Maintaining Provenance in Dynamic Knowledge Graphs
Garima Gaur, Arnab Bhattacharya, Srikanta Bedathur
Knowledge graphs (KGs) have increasingly become the backbone of many critical knowledge-centric applications. Most large-scale KGs used in practice are automatically constructed ba…
Learning Koopman Representations for Hybrid Systems
Craig Bakker, Arnab Bhattacharya, Samrat Chatterjee +2
The Koopman operator lifts nonlinear dynamical systems into a functional space of observables, where the dynamics are linear. In this paper, we provide three different Koopman repr…