no code implementations • 10 May 2024 • Aleix Lafita, Ferran Gonzalez, Mahmoud Hossam, Paul Smyth, Jacob Deasy, Ari Allyn-Feuer, Daniel Seaton, Stephen Young
Protein Language Models (PLMs) have emerged as performant and scalable tools for predicting the functional impact and clinical significance of protein-coding variants, but they still lag experimental accuracy.
no code implementations • 30 May 2021 • Mahmoud Hossam
We propose accelerated methods for the well-known recursive hierarchical segmentation (RHSEG) clustering method, using GPUs, hybrid multicore CPU with a GPU and hybrid multi-core CPU/GPU clusters.
no code implementations • 27 Apr 2021 • Mahmoud Hossam, Trung Le, Michael Papasimeon, Viet Huynh, Dinh Phung
Generating realistic sequences is a central task in many machine learning applications.
no code implementations • 27 Apr 2021 • Mahmoud Hossam, Trung Le, He Zhao, Viet Huynh, Dinh Phung
There has been recently a growing interest in studying adversarial examples on natural language models in the black-box setting.
1 code implementation • 14 Oct 2020 • Mahmoud Hossam, Trung Le, He Zhao, Dinh Phung
Training robust deep learning models for down-stream tasks is a critical challenge.
1 code implementation • 16 Apr 2020 • Mahmoud Hossam, Trung Le, Viet Huynh, Michael Papasimeon, Dinh Phung
One of the challenging problems in sequence generation tasks is the optimized generation of sequences with specific desired goals.