6 citations · 7 across the 5 of their papers we have counts for
5 papers
Benchmarking Deep Learning Models for Anomaly Detection in Real-World Cloud Telemetry
Sumit Dhyani, Sougata Mukherjea
Modern cloud platforms generate high-dimensional, noisy telemetry from thousands of microservices. Unlike classical anomaly detection benchmarks, cloud anomalies are short-lived, i…
Optimizing Cloud Deployment: Blending of IaaS and FaaS for Microservice Architecture
Nikhil Kapoor, Sougata Mukherjea
The rapid evolution of cloud computing has resulted in the adoption of hybrid deployments that blend Infrastructure-as-a-Service (IaaS) and Function-as-a-Service (FaaS) service mod…
InteractiveGNNExplainer: A Visual Analytics Framework for Multi-Faceted Understanding and Probing of Graph Neural Network Predictions
TC Singh, Sougata Mukherjea
Graph Neural Networks (GNNs) excel in graph-based learning tasks, but their complex, non-linear operations often render them as opaque "black boxes". This opacity hinders user trus…
Evaluating LLMs for Visualization Generation and Understanding
Saadiq Rauf Khan, Vinit Chandak, Sougata Mukherjea
Information Visualization has been utilized to gain insights from complex data. In recent times, Large Language models (LLMs) have performed very well in many tasks. In this paper,…
Evaluating LLMs for Visualization Tasks
Saadiq Rauf Khan, Vinit Chandak, Sougata Mukherjea
Information Visualization has been utilized to gain insights from complex data. In recent times, Large Language Models (LLMs) have performed very well in many tasks. In this paper,…