2 citations · 4 across the 6 of their papers we have counts for
6 papers
ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model
Krishu K Thapa, Supriya Savalkar, Bhupinderjeet Singh +3
Various complex water management decisions are made in snow-dominant watersheds with the knowledge of Snow-Water Equivalent (SWE) -- a key measure widely used to estimate the water…
An Integrated Epidemic Simulation Workflow for Submodular Intervention Strategies
Reet Barik, Marco Minutoli, Mahantesh Halappanavar +1
Owing to the ongoing COVID-19 pandemic and other recent global epidemics, epidemic simulation frameworks are gaining rapid significance. In this work, we present a workflow that wi…
GreediRIS: Scalable Influence Maximization using Distributed Streaming Maximum Cover
Reet Barik, Wade Cappa, S M Ferdous +3
Influence maximization--the problem of identifying a subset of k influential seeds (vertices) in a network--is a classical problem in network science with numerous applications. Th…
Streamflow Prediction with Uncertainty Quantification for Water Management: A Constrained Reasoning and Learning Approach
Mohammed Amine Gharsallaoui, Bhupinderjeet Singh, Supriya Savalkar +5
Predicting the spatiotemporal variation in streamflow along with uncertainty quantification enables decision-making for sustainable management of scarce water resources. Process-ba…
FARe: Fault-Aware GNN Training on ReRAM-based PIM Accelerators
Pratyush Dhingra, Chukwufumnanya Ogbogu, Biresh Kumar Joardar +3
Resistive random-access memory (ReRAM)-based processing-in-memory (PIM) architecture is an attractive solution for training Graph Neural Networks (GNNs) on edge platforms. However,…
Parallel Heuristics for Scalable Community Detection
Hao Lu, Mahantesh Halappanavar, Ananth Kalyanaraman
Community detection has become a fundamental operation in numerous graph-theoretic applications. It is used to reveal natural divisions that exist within real world networks withou…