5 citations · 5 across the 3 of their papers we have counts for
3 papers
Learning Activation Functions for Sparse Neural Networks
Mohammad Loni, Aditya Mohan, Mehdi Asadi +1
Sparse Neural Networks (SNNs) can potentially demonstrate similar performance to their dense counterparts while saving significant energy and memory at inference. However, the accu…
Auto-SpMV: Automated Optimizing SpMV Kernels on GPU
Mina Ashoury, Mohammad Loni, Farshad Khunjush +1
Sparse matrix-vector multiplication (SpMV) is an essential linear algebra operation that dominates the computing cost in many scientific applications. Due to providing massive para…
Accurate Detection of Paroxysmal Atrial Fibrillation with Certified-GAN and Neural Architecture Search
Mehdi Asadi, Fatemeh Poursalim, Mohammad Loni +3
This paper presents a novel machine learning framework for detecting Paroxysmal Atrial Fibrillation (PxAF), a pathological characteristic of Electrocardiogram (ECG) that can lead t…