Aya Abdelsalam Ismail

15 papers A* 5Journal 9

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Concept Bottleneck Language Models For Protein Design. ICLR Aya Abdelsalam Ismail, Tuomas P. Oikarinen, Amy Wang, Julius Adebayo, Samuel Don Stanton, Héctor Corrada Bravo, Kyunghyun Cho, Nathan C. Frey
2024	J	`jnl`	Antibody DomainBed: Out-of-Distribution Generalization in Therapeutic Protein Design. CoRR 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
2024	A*	`conf`	Concept Bottleneck Generative Models. ICLR Aya Abdelsalam Ismail, Julius Adebayo, Héctor Corrada Bravo, Stephen Ra, Kyunghyun Cho
2024	J	`jnl`	Concept Bottleneck Language Models For protein design. CoRR Aya Abdelsalam Ismail, Tuomas P. Oikarinen, Amy Wang, Julius Adebayo, Samuel Stanton, Taylor Joren, Joseph Kleinhenz, Allen Goodman, Héctor Corrada Bravo, Kyunghyun Cho, Nathan C. Frey
2023	J	`jnl`	Interpretable Mixture of Experts. Trans. Mach. Learn. Res. Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
2022	—	`—`	Interpretable Deep Learning for Time Series. Aya Abdelsalam Ismail
2022	J	`jnl`	Interpretable Mixture of Experts for Structured Data. CoRR Aya Abdelsalam Ismail, Sercan Ö. Arik, Jinsung Yoon, Ankur Taly, Soheil Feizi, Tomas Pfister
2021	A*	`conf`	Improving Deep Learning Interpretability by Saliency Guided Training. NeurIPS Aya Abdelsalam Ismail, Héctor Corrada Bravo, Soheil Feizi
2021	J	`jnl`	Improving Deep Learning Interpretability by Saliency Guided Training. CoRR Aya Abdelsalam Ismail, Héctor Corrada Bravo, Soheil Feizi
2020	A*	`conf`	Benchmarking Deep Learning Interpretability in Time Series Predictions. NeurIPS Aya Abdelsalam Ismail, Mohamed K. Gunady, Héctor Corrada Bravo, Soheil Feizi
2020	J	`jnl`	Benchmarking Deep Learning Interpretability in Time Series Predictions. CoRR Aya Abdelsalam Ismail, Mohamed K. Gunady, Héctor Corrada Bravo, Soheil Feizi
2020	J	`jnl`	Improving Multimodal Accuracy Through Modality Pre-training and Attention. CoRR Aya Abdelsalam Ismail, Mahmudul Hasan, Faisal Ishtiaq
2019	A*	`conf`	Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks. NeurIPS Aya Abdelsalam Ismail, Mohamed K. Gunady, Luiz Pessoa, Héctor Corrada Bravo, Soheil Feizi
2019	J	`jnl`	Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks. CoRR Aya Abdelsalam Ismail, Mohamed K. Gunady, Luiz Pessoa, Héctor Corrada Bravo, Soheil Feizi
2018	J	`jnl`	Improving Long-Horizon Forecasts with Expectation-Biased LSTM Networks. CoRR Aya Abdelsalam Ismail, Timothy Wood, Héctor Corrada Bravo