132 citations · 138 across the 5 of their papers we have counts for
5 papers
Post-training Model Quantization Using GANs for Synthetic Data Generation
Athanasios Masouris, Mansi Sharma, Adrian Boguszewski +3
Quantization is a widely adopted technique for deep neural networks to reduce the memory and computational resources required. However, when quantized, most models would need a sui…
A Robust and Scalable Attention Guided Deep Learning Framework for Movement Quality Assessment
Aditya Kanade, Mansi Sharma, Manivannan Muniyandi
Physical rehabilitation programs frequently begin with a brief stay in the hospital and continue with home-based rehabilitation. Lack of feedback on exercise correctness is a signi…
Tele-EvalNet: A Low-cost, Teleconsultation System for Home based Rehabilitation of Stroke Survivors using Multiscale CNN-LSTM Architecture
Aditya Kanade, Mansi Sharma, M. Manivannan
Technology has an important role to play in the field of Rehabilitation, improving patient outcomes and reducing healthcare costs. However, existing approaches lack clinical valida…
OpenFL: An open-source framework for Federated Learning
G Anthony Reina, Alexey Gruzdev, Patrick Foley +15
Federated learning (FL) is a computational paradigm that enables organizations to collaborate on machine learning (ML) projects without sharing sensitive data, such as, patient rec…
OGGN: A Novel Generalized Oracle Guided Generative Architecture for Modelling Inverse Function of Artificial Neural Networks
Mohammad Aaftab, Mansi Sharma
This paper presents a novel Generative Neural Network Architecture for modelling the inverse function of an Artificial Neural Network (ANN) either completely or partially. Modellin…