Aya Abdelsalam Ismail

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Unsupervised Feature Learning

Recurrent Neural Networks

Top Venues

Trans. Mach. Learn. Res.

Publications

Aya Abdelsalam Ismail, Julius Adebayo, Héctor Corrada Bravo, Stephen Ra, Kyunghyun Cho
Concept Bottleneck Generative Models. ICLR (2024)
Natasa Tagasovska, Ji Won Park, Matthieu Kirchmeyer, Nathan C. Frey, Andrew Martin Watkins, Aya Abdelsalam Ismail, Arian Rokkum Jamasb, Edith Lee, Tyler Bryson, Stephen Ra, Kyunghyun Cho
Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design. CoRR (2024)
Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
Interpretable Mixture of Experts. Trans. Mach. Learn. Res. 2023 (2023)
Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
Interpretable Mixture of Experts for Structured Data. CoRR (2022)
Aya Abdelsalam Ismail, Héctor Corrada Bravo, Soheil Feizi
Improving Deep Learning Interpretability by Saliency Guided Training. NeurIPS (2021)
Aya Abdelsalam Ismail, Héctor Corrada Bravo, Soheil Feizi
Improving Deep Learning Interpretability by Saliency Guided Training. CoRR (2021)
Aya Abdelsalam Ismail, Mohamed K. Gunady, Héctor Corrada Bravo, Soheil Feizi
Benchmarking Deep Learning Interpretability in Time Series Predictions. CoRR (2020)
Aya Abdelsalam Ismail, Mohamed K. Gunady, Héctor Corrada Bravo, Soheil Feizi
Benchmarking Deep Learning Interpretability in Time Series Predictions. NeurIPS (2020)
Aya Abdelsalam Ismail, Mahmudul Hasan, Faisal Ishtiaq
Improving Multimodal Accuracy Through Modality Pre-training and Attention. CoRR (2020)
Aya Abdelsalam Ismail, Mohamed K. Gunady, Luiz Pessoa, Héctor Corrada Bravo, Soheil Feizi
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks. NeurIPS (2019)
Aya Abdelsalam Ismail, Mohamed K. Gunady, Luiz Pessoa, Héctor Corrada Bravo, Soheil Feizi
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks. CoRR (2019)
Aya Abdelsalam Ismail, Timothy Wood, Héctor Corrada Bravo
Improving Long-Horizon Forecasts with Expectation-Biased LSTM Networks. CoRR (2018)