Aya Abdelsalam Ismail

According to our database, Aya Abdelsalam Ismail authored at least 10 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design.

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

CoRR, 2024

Concept Bottleneck Generative Models.

Aya Abdelsalam Ismail, Julius Adebayo, Héctor Corrada Bravo, Stephen Ra, Kyunghyun Cho

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Interpretable Mixture of Experts.

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

Trans. Mach. Learn. Res., 2023

2022

Interpretable Deep Learning for Time Series.

Aya Abdelsalam Ismail

PhD thesis, 2022

Interpretable Mixture of Experts for Structured Data.

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

CoRR, 2022

2021

Improving Deep Learning Interpretability by Saliency Guided Training.

Aya Abdelsalam Ismail, Héctor Corrada Bravo, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Improving Multimodal Accuracy Through Modality Pre-training and Attention.

Aya Abdelsalam Ismail, Mahmudul Hasan, Faisal Ishtiaq

CoRR, 2020

Benchmarking Deep Learning Interpretability in Time Series Predictions.

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks.

Aya Abdelsalam Ismail, Mohamed K. Gunady, Luiz Pessoa, Héctor Corrada Bravo, Soheil Feizi

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Improving Long-Horizon Forecasts with Expectation-Biased LSTM Networks.

Aya Abdelsalam Ismail, Timothy Wood, Héctor Corrada Bravo

CoRR, 2018