| Hurtful words: quantifying biases in clinical contextual word embeddings H Zhang, AX Lu, M Abdalla, M McDermott, M Ghassemi Proceedings of the ACM Conference on Health, Inference, and Learning, 110-120, 2020 | 175 | 2020 |
| Self-supervised contrastive learning of protein representations by mutual information maximization AX Lu, H Zhang, M Ghassemi, A Moses BioRxiv, 2020.09. 04.283929, 2020 | 90 | 2020 |
| Learned embeddings from deep learning to visualize and predict protein sets C Dallago, K Schütze, M Heinzinger, T Olenyi, M Littmann, AX Lu, ... Current Protocols 1 (5), e113, 2021 | 83 | 2021 |
| Discovering molecular features of intrinsically disordered regions by using evolution for contrastive learning AX Lu, AX Lu, I Pritišanac, T Zarin, JD Forman-Kay, AM Moses PLOS Computational Biology 18 (6), e1010238, 2022 | 29 | 2022 |
| The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers A Lu, A Lu, W Schormann, M Ghassemi, D Andrews, A Moses Advances in Neural Information Processing Systems, 1854-1862, 2019 | 20 | 2019 |
| History and publication trends in the diffusion and early uptake of indirect comparison meta-analytic methods to study drugs: animated coauthorship networks over time JK Ban, M Tadrous, AX Lu, EA Cicinelli, SM Cadarette BMJ open 8 (6), e019110, 2018 | 9 | 2018 |
| Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning AX Lu, AX Lu, A Moses arXiv preprint arXiv:2012.13475, 2020 | 8 | 2020 |
| Data-Driven Optimization for Protein Design: Workflows, Algorithms and Metrics S Kolli, AX Lu, X Geng, A Kumar, S Levine ICLR2022 Machine Learning for Drug Discovery, 2022 | 5 | 2022 |
| Pretraining strategies for effective promoter-driven gene expression prediction AJ Reddy, MH Herschl, S Kolli, AX Lu, X Geng, A Kumar, PD Hsu, ... bioRxiv, 2023.02. 24.529941, 2023 | 4 | 2023 |
| TOPH (True Retrieval Of Proteins Homologs): Adapting A Contrastive Question-Answering Framework for Protein Search R Boger, A Lu, S Chithrananda, K Yang, P Skopintsev, B Adler, E Wallace, ... | 2 | 2023 |
| Strategies for effectively modelling promoter-driven gene expression using transfer learning AJ Reddy, MH Herschl, X Geng, S Kolli, AX Lu, A Kumar, PD Hsu, ... bioRxiv, 2023 | 1 | 2023 |
| Tokenized and Continuous Embedding Compressions of Protein Sequence and Structure AX Lu, W Yan, KK Yang, V Gligorijevic, K Cho, P Abbeel, R Bonneau, ... bioRxiv, 2024.08. 06.606920, 2024 | | 2024 |
| Compressing the Latent Space of Single-Sequence Protein Predictors for Multimodal Generation AX Lu, W Yan, V Gligorijevic, P Abbeel, KK Yang, NC Frey ICML 2024 Workshop on Efficient and Accessible Foundation Models for …, 0 | | |
