45 citations · 214 across the 86 of their papers we have counts for
10 papers · 1 filter
Unified Class and Domain Incremental Learning with Mixture of Experts for Indoor Localization
Akhil Singampalli, Sudeep Pasricha
Indoor localization using machine learning has gained traction due to the growing demand for location-based services. However, its long-term reliability is hindered by hardware/sof…
GATE: Graph Attention Neural Networks with Real-Time Edge Construction for Robust Indoor Localization using Mobile Embedded Devices
Danish Gufran, Sudeep Pasricha
Accurate indoor localization is crucial for enabling spatial context in smart environments and navigation systems. Wi-Fi Received Signal Strength (RSS) fingerprinting is a widely u…
Towards Explainable Indoor Localization: Interpreting Neural Network Learning on Wi-Fi Fingerprints Using Logic Gates
Danish Gufran, Sudeep Pasricha
Indoor localization using deep learning (DL) has demonstrated strong accuracy in mapping Wi-Fi RSS fingerprints to physical locations; however, most existing DL frameworks function…
DAILOC: Domain-Incremental Learning for Indoor Localization using Smartphones
Akhil Singampalli, Danish Gufran, Sudeep Pasricha
Wi-Fi fingerprinting-based indoor localization faces significant challenges in real-world deployments due to domain shifts arising from device heterogeneity and temporal variations…
Sustainable Carbon-Aware and Water-Efficient LLM Scheduling in Geo-Distributed Cloud Datacenters
Hayden Moore, Sirui Qi, Ninad Hogade +3
In recent years, Large Language Models (LLM) such as ChatGPT, CoPilot, and Gemini have been widely adopted in different areas. As the use of LLMs continues to grow, many efforts ha…
LuxNAS: A Coherent Photonic Neural Network Powered by Neural Architecture Search
Amin Shafiee, Febin Sunny, Sudeep Pasricha +1
We demonstrate a novel coherent photonic neural network using tunable phase-change-material-based couplers and neural architecture search. Compared to the MZI-based Clements networ…