Selected Publications

You can find a full list of my publications on my Google Scholar profile.

(* denotes equal contribution)

Concept Bottleneck Language Models For Protein Design

Aya Abdelsalam Ismail, Tuomas Oikarinen, Amy Wang, Julius Adebayo, Samuel Stanton, Taylor Joren, Joseph Kleinhenz, Allen Goodman, Héctor Corrada Bravo, Kyunghyun Cho, Nathan C. Frey
Preprint available on arXiv.

Concept Bottleneck Generative Models

Aya Abdelsalam Ismail*, Julius Adebayo*, Héctor Corrada Bravo, Stephen Ra, Kyunghyun Cho
ICLR 2024.

Interpretable Mixture of Experts

Aya Abdelsalam Ismail, Sercan Ö Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
TMLR 2023.

Improving Deep Learning Interpretability by Saliency Guided Training

Aya Abdelsalam Ismail,Hector Corrada Bravo, Soheil Feizi
NeurIPs 2021.

Benchmarking Deep Learning Interpretability in Time series Predictions

Aya Abdelsalam Ismail, Mohamed Gunady, Héctor Corrada Bravo, Soheil Feizi
NeurIPs 2020.

Input-cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks

Aya Abdelsalam Ismail, Mohamed Gunady, Luiz Pessoa, Hector Corrada Bravo, Soheil Feizi
NeurIPs 2019.