The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers. - Alex X. Lu; Amy X. Lu; Wiebke Schormann; Marzyeh Ghassemi; David W. Andrews; Alan M. Moses (NeurIPS, 2019)

The Cells Out of Sample (COOS) dataset and benchmarks for measuring out-of-sample generalization of image classifiers. - Alex X. Lu; Amy X. Lu; Wiebke Schormann; David W. Andrews; Alan M. Moses (CoRR, 2019)

Hurtful words: quantifying biases in clinical contextual word embeddings. - Haoran Zhang 003; Amy X. Lu; Mohamed Abdalla 001; Matthew B. A. McDermott; Marzyeh Ghassemi (CHIL, 2020)

Evolution Is All You Need: Phylogenetic Augmentation for Contrastive Learning. - Amy X. Lu; Alex X. Lu; Alan M. Moses (CoRR, 2020)

Discovering molecular features of intrinsically disordered regions by using evolution for contrastive learning. - Alex X. Lu; Amy X. Lu; Iva Pritisanac; Taraneh Zarin; Julie D. Forman-Kay; Alan M. Moses (PLoS Comput. Biol., 2022)

Protein Language Model Fitness is a Matter of Preference. - Cade W. Gordon; Amy X. Lu; Pieter Abbeel (ICLR, 2025)

Tokenized and continuous embedding compressions of protein sequence and structure. - Amy X. Lu; Wilson Yan; Kevin K. Yang; Vladimir Gligorijevic; Kyunghyun Cho; Pieter Abbeel; Richard Bonneau; Nathan C. Frey (Patterns, 2025)

Systems and Algorithms for Convolutional Multi-Hybrid Language Models at Scale. - Jerome Ku; Eric Nguyen; David W. Romero; Garyk Brixi; Brandon Yang; Anton Vorontsov; Ali Taghibakhshi; Amy X. Lu; Dave P. Burke; Greg Brockman; Stefano Massaroli; Christopher Ré; et al. (CoRR, 2025)