Bravo, Hector Corrada

8 publications

ICLR 2025 Concept Bottleneck Language Models for Protein Design Aya Abdelsalam Ismail, Tuomas Oikarinen, Amy Wang, Julius Adebayo, Samuel Don Stanton, Hector Corrada Bravo, Kyunghyun Cho, Nathan C. Frey

ICLR 2024 Concept Bottleneck Generative Models Aya Abdelsalam Ismail, Julius Adebayo, Hector Corrada Bravo, Stephen Ra, Kyunghyun Cho

NeurIPSW 2024 Learning Multi-Cellular Representations of Single-Cell Transcriptomics Data Enables Characterization of Patient-Level Disease States Tianyu Liu, Edward De Brouwer, Tony Kuo, Nathaniel Lee Diamant, Missarova Alsu, Minsheng Hao, Hanchen, Hector Corrada Bravo, Gabriele Scalia, Aviv Regev, Graham Heimberg

ICMLW 2023 Concept Bottleneck Generative Models Aya Abdelsalam Ismail, Julius Adebayo, Hector Corrada Bravo, Stephen Ra, Kyunghyun Cho

NeurIPS 2021 Improving Deep Learning Interpretability by Saliency Guided Training Aya Abdelsalam Ismail, Hector Corrada Bravo, Soheil Feizi

NeurIPS 2020 Benchmarking Deep Learning Interpretability in Time Series Predictions Aya Abdelsalam Ismail, Mohamed Gunady, Hector Corrada Bravo, Soheil Feizi

NeurIPS 2019 Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks Aya Abdelsalam Ismail, Mohamed Gunady, Luiz Pessoa, Hector Corrada Bravo, Soheil Feizi

AISTATS 2009 Estimating Tree-Structured Covariance Matrices via Mixed-Integer Programming Hector Corrada Bravo, Stephen Wright, Kevin Eng, Sunduz Keles, Grace Wahba